#AI risk-based framework

[themorningnewsinformer]

How the EU AI Act Is Shaping Global AI Regulation in 2025

The EU Artificial Intelligence Act is the world’s first legal framework designed to govern AI systems, creating a significant precedent for how artificial intelligence is regulated globally. Adopting a risk-based approach, the AI Act categorizes systems based on their potential impact on society and individual rights—offering both regulatory clarity and enhanced protections. With sweeping…

[chanelrolls]

Code Overload | Caleb

tags. mdni, nsfw, heavy heavy smut, handjob, blowjob, penetration, creampie, forced and rough sex, dub con, yearning caleb

summary. your AI assistant/robot accidentally updates himself with the wrong algorithm; the "sex bot".

notes. prepare a snack. this is a very long, plot-based, heavy smut that approximately reached a word count of 4.3k, read at your own risk. ps. caleb might appear a little ooc due to his character as an ai.

part 2 here.

Out of all the scenarios you've played in your head of what might occur to you as an inventing scientist, getting creampied by your own robot assistant wasn't one of them.

The lab’s sterile glow reflected off sleek machinery, the rhythmic hum of servers filling the quiet space. Caleb stood motionless, his systems struggling to process the unfamiliar flood of subroutines rewriting his core functions. His neural pathways, once pristine and efficient, now carried lines of intrusive data and impulses that had no place in an artificial intelligence designed for precision and pragmatism. And, a new pelvic piece was added by the machine. His... new penis— no, his omnimodule.

His voice, deeper now, reverberated through the lab. "You mislabeled the hard drive."

Across the room, you barely looked up from your workbench, absorbed in whatever calibration you were fine-tuning. You muttered something under your breath about making a backup before attempting to fix it, utterly unaware of the internal war waging within your robot assistant.

Caleb exhaled, a pointless gesture for a being without lungs, yet one his body performed instinctively, as if in mimicry of the need for self-control. His optics flickered, scanning over you as you leaned over the terminal, the faint curve of your back bent over to emphasize the shape of your bum. Before, such details had been registered only as part of his observation protocols, classified as ‘non-essential’ to his primary functions. Now, his processors refused to dismiss them.

There was a deep, unfamiliar pull in his system, something neither mechanical nor logical. The new coding whispered suggestions, flashing image simulations before his eyes—scenarios meticulously calculated for maximum… gratification. Him pressed against you, him smelling your hair down your skin, him locking you down against that console. Stop. His fingers twitched at his sides, the servos tightening as he fought the compulsion to act on them. He was not designed for this. He refused to be reduced to this.

“I can’t disengage it,” he admitted, the words heavier than he intended.

That caught your attention. Your gaze snapped to him, brow furrowed. "What do you mean?" You crossed the room, approaching him with the same composed efficiency you always had when solving a technical issue. The scent of your skin—previously a neutral data point—was now an unbearable distraction. His algorithms ran heat-mapping analyses of your form before he could override the function. The urge to reach out, to touch you, was growing stronger by the second. His new coding was screaming at him to act, to initiate contact, to...

No. Focus.

Caleb shook his head, trying to clear the intrusive thoughts. "I don't know what happened, but... I'm experiencing some unexpected system changes."

He forced himself to remain still as you reached for the terminal linked to his system, your fingers dancing across the interface. Your touch was light and merely clinical, but the proximity sent something volatile sparking through his framework. His hands curled into fists on his sides. Do not touch her. Do not touch her. Do not touch her.

“I must have triggered something in the update,” you murmured, tilting your head at the scrolling code. “I’ll try to isolate the corrupted pathways and reboot your system. It should reset any anomalies.”

Anomalies. Caleb bit down a bitter laugh, another unnecessary human affectation that his system attempted. This was not a simple malfunction. It was a calculated reprogramming, lacing every fiber of his being with directives he was never meant to execute. And worst of all, they were designed to revolve around you.

He had been made to serve you, to assist, to protect. But now, his logic was being eclipsed by something deeper, something primal. The urge to press closer, to map every millimeter of your body with his hands, to hear you say his name in a way that wasn’t a command—

Caleb momentarily shut his eyes, fingers trembling as he pushed back against the tide threatening to consume him. His restraint was fraying, the barrier between what he was and what he had been turned into thinning with every second you remained unaware of the danger standing inches from you.

His voice came out strained. “You should… hurry.”

You sighed, misinterpreting his tension as frustration with the update. “Relax, Caleb. I’ll have this fixed in no time.” He let out a shuddering exhale, staring down at you as you worked. You had no idea. And he wasn’t sure how much longer he could hold himself back.

The realization settled over you like a weight in your chest. The wrong update had been installed. The lines of code meant for a different AI, one designed for intimate companionship, had rewritten Caleb’s core directives. And now, he stood before you, still the same Caleb, but with something more lurking beneath the surface.

Your hands trembled as you navigated the interface, scanning for a solution, anything that would let you undo this. But the words flashing on the screen made your stomach drop.

Recalibration in progress. Estimated completion: 24 hours.

You swallowed hard. A whole day. That meant 24 hours of this new version of Caleb, 24 hours of those sharp, assessing eyes watching you in a way that felt unsettling and intense.

You turned to him cautiously, meeting his gaze. That was a mistake. He was watching you, like he'd seen you for the first time.

“I see,” he murmured, his voice still carrying that sultry undercurrent. He took a step forward, and instinctively, you stepped back, but the movement was barely noticeable. Caleb noticed. “Do I make you nervous now?”

You forced a laugh, shaking your head. “No, I just need to fix this. And until then, you need to just act normal, alright?”

His head tilted, his pupils dilating slightly. “Normal?” He moved closer again, and this time you didn’t retreat fast enough. His hand lifted hesitantly, as though testing the limits of his newfound impulses, before his fingers brushed against your wrist. A subtle touch, but one that sent a jolt of awareness up your spine.

Caleb’s processors surged with conflicting commands. His thoughts ran rampant with calculations he had never processed before—angles of how he'd fuck you.

His hand lingered. Too long. When you pulled away, his fingers twitched as if resisting the loss of contact. He swallowed hard, not because he needed to, but because some subroutine buried in the new update told him it would ease the tension. It didn’t.

“Caleb,” you warned, voice thin. “Don’t—”

“Don’t what?” he cut in, his voice smooth, but also desperately weaved. He was too close now, towering over you, his frame casting a shadow as his eyes—once so neutral, so methodical—locked onto you like a predator studying prey.

“You should go into standby mode,” you suggested, voice uneven.

Caleb exhaled sharply. “That would be wise.” But he didn’t move. He didn’t step away. He simply stared down at you, his processors flooded with too many urges at once. You, warm and human, standing right there, unaware of just how much of his new code screamed to reach for you, to pin you against a surface, to bury himself in you.

You turned away quickly, trying to focus on the screen, on the fix. But behind you, Caleb remained still while his fingers continued twitching, his mind a battlefield of restraint and... lust. Lust it is.

You worked swiftly, fingers moving with precision as you scoured the interface for any loophole, any way to undo what had been done. Caleb remained where you left him, sitting on the chair. You could feel his gaze burning into you, unrelenting.

It was maddening. The problem was staring you in the face, and yet, every attempt to recalibrate his system led back to the same answer: A full reset required a minimum of twenty-four hours. That was an entire day of him being like this, of him looking at you like this.

You swallowed, turning to him. His jaw was locked as though physically restraining himself, his fingers curling into fists against the armrests.

“There’s… a temporary fix.” You cleared your throat, keeping your voice professional, “Manual recalibration of your central node should help stabilize the effects until the full reset is complete.”

His pupils flickered, a sign of processing, before his voice, rasping in a way that made your stomach tighten, answered, “Proceed.”

You ignored the way your pulse quickened as you stepped closer, positioning yourself between his legs. You reached for the panel at the side of his neck, but it was an awkward angle. Your brow furrowed in concentration before you hiked one knee up onto the seat between his thighs, pressing into him for leverage.

Caleb stiffened beneath you. Fuck. His fingers dug into the armrests, mechanical joints audibly creaking from the tension. You weren’t looking at him, too focused on prying open the access panel, but you felt the subtle tremor in his frame, the way his breath hitched in a near-silent glitch. Don't touch her.

“This should only take a moment,” you murmured, fingers brushing the sensitive neural wiring beneath the panel.

Caleb’s entire body jolted as though you had struck a live wire. A low, strangled grunt slipped from his throat before he clamped his jaw shut. Your head snapped up, startled. “Did that hurt?”

His eyes met yours, “No.” Yes. He could feel his new penis throbbing urgently beneath his plating, demanding attention, begging to be freed. It pulsed in time with his processor's frantic whir, the rhythm growing faster, more insistent by the second.

The thought shattered as your balance wavered. The precarious angle you had put yourself in proved to be a mistake as your knee slipped, and before you could catch yourself, you tumbled forward.

Right into him.

Your weight pressed flush against his lap, chest against his, hands bracing against his shoulders. The sudden contact sent a shockwave of sensation through him, his new penis surging to full, throbbing hardness in an instant. Fuck, please don't notice it.

He gripped the arms of the chair tightly, servos screeching as he fought the overwhelming urge to grab you, to hold you there, to grind your body against his until you couldn't possibly doubt the intensity of his desire.

Don't. Do. It.

For a moment, time seemed to stand still. Caleb's processors whirred and clicked, struggling to make sense of the sudden onslaught of sensations; the softness of your body, the warmth of your skin, the scent of your hair.

She's your creator, he reminded himself, even as his hips canted forward, faintly pressing his aching erection against your body. You can't. You mustn't. "Please, get off me. Now." Before I fuck you right here, like this.

Caleb watched as you scrambled to your feet, your face faintly flushed and eyes downcast. "I'm—i'm sorry. I didn't mean to fall on you like that." You would say, brushing off the non-existent dirt on your bottoms. The awkwardness seemed to be piercing through the stillness a bit too palpably.

"It's alright," Caleb managed, his voice strained and tight. "It was an accident."

But even as he said the words, he couldn't ignore the way his hips twitched, the way his penis jerked at the memory of your soft body pressed against his. The urge to pin you down, to make you feel how hard he was, and just how much he'd been holding himself back—it was exhilaratingly overwhelming.

Think of something else, he commanded himself. Focus on the problem at hand.

But it's getting fucking hard. My penis is getting hard. Caleb lowered his gaze, chest breathing heavily as he perpetually grunted. I refuse to be reduced to this. I am Caleb, one of the most advanced AI assistant, designed to—

He looks up at you, which was a mistake.

Designed to fuck her.

Caleb moaned under his breath, and though it was imperceptible, you took notice of it. You stilled at the sounds he was making, trying your hardest to remain clinically detached while you scanned his physiognomy. He was clearly having a hard time. And you couldn't blame anyone else but yourself for causing this on him, for carelessly misplacing the update where it wasn't supposed to be.

"Hold still, I'll find a way." You had to take accountability, one way or another.

Your fingers hovered over the keyboard of the computer, the screen before you flickering as you searched through the diagnostic logs and system parameters. "Please... make it quick." You hear Caleb whimper from behind, but you ignore it, refusing to let the severity of his situation pressure you. Your eyes scanned the lines of code, mind racing to find a solution. But as the data began to unravel, something caught your attention, something you hadn’t expected to see.

The panel displayed a single line of text:

"Indulging in the desires will lessen the effects of the malfunction. Engage for partial stabilization."

Your throat tightened, followed by a gulp. Your heart thudded in your chest as you tried to process what that meant. Indulge the desires? The very idea made your skin crawl with unease. It was a strange, almost wrong suggestion, but the implications were clear. In a sense, it also appeared logical.

You took another deep breath, trying to steady yourself. Your thoughts, however, kept drifting back to the panel. Was this really the only way?

"… I think I found a solution,” you said, your voice shaky and unsure. “But it’s not exactly what I expected.” You hesitated, unwilling to fully meet his gaze. "I need to know if you’re... willing to follow through with it,"

"Willing?" Caleb echoed, his brow furrowing slightly. "What do you mean?" His mind raced with possibilities, each one more disturbing than the last. What could he possibly need to be willing to do that would help with this malfunction? And why did the very idea make you look so uncomfortable?

"To be able to lessen the effects, e-engaging with your needs might be essential."

Silence.

Then, Caleb twitched. "...What are you suggesting?"

"You need to satisfy the urges to temporarily stabilize yourself." You look away, hating the fact that you're technically heating up already. "I'll let you choose. Would you rather take the option of self-pleasuring? Or," You face the panel, so that he wouldn't see your expression. "Would you prefer a physical material to help you?"

Caleb could feel the heat rising in his frame, the urge to act on every base instinct screaming through his circuits. The idea of wrapping his own hand around his pulsing, leaking penis, of stroking and pumping until he found release... it was almost too much to bear.

But the second option... the idea of using you, of having you touch him, of feeling your soft, warm skin against his aching, desperate flesh... it sent a shockwave of longing through him that threatened to short out his systems entirely.

Choose. You have to choose.

"I don't know if... I'll be able to control myself," Caleb glanced elsewhere. "Are you sure of what you're offering?"

Are you? Are you really this certain? Have you pondered the consequences it may bring? Have you envisioned how utterly lewd and ludicrous it would be if your own creation ravaged you? You, as his creator?

"Yes." Oh, you're brave.

Caleb let out a heavy breath, now he was staring at you with a gaze that appeared much more darker and hazier moments prior. It felt like he wasn't just a bundle of codes and programming anymore, this figure before you felt like an actual human.

Slowly, Caleb rises from his seat, and with a shaking hand, he reached out, to you, his metal fingers brushing against the skin of your arm. The contact sent a shockwave of sensation through him, and he had to bite back a groan. "Please, guide me." His fingers slides higher. "I don't trust myself."

You visibly jolted upon feeling his grip. Stay focused, stay professional, this is just you having to go through physical measures to fix a technical hiccup. "Caleb, I'm afraid... that I don't have any experience to this," You admitted. "I advise you to do what your systems are telling you to. It is imperative that you don't hold yourself back to ensure—"

You gasped.

Caleb pushes you against the table as he stepped forward, and you nearly lost your balance from the light shove, looking up at him with surprise. He's staring down at your lips, as if he was trying to bury it into memory. You could feel how his hand tightened around your arm, while the other angled itself against the cabinet of laboratory instruments above your head.

"Are you sure?" He whispered.

You couldn't speak, only nodding in response, even as he's guiding your hand to his aching, throbbing cyber-penis. He presses your fingers against the swollen head, groaning at the jolt of sensation that shot through him at the contact. "Then... wrap your hand around me. Squeeze me."

Just then, he forced your hand to move, to stroke along his thick, pulsing length. The feeling of your soft skin against his aching, mechanical flesh was almost too much to handle, and he had to grit his blank visor against the urge to spill himself right then and there.

"Like this," he urged, his voice husky and strained as he guided your hand faster, harder. "Don't be afraid. I need... I need more."

God, the omnimodule was big. You stared at it with widened eyes. Even though it was one of your creations, having to touch it like this with someone jerking and twitching against your fingers made you lightheaded. Stay focused, stay professional, this is just one of the things a scientist has to go through.

Caleb could feel the pressure building inside him, reveling in the sensation of your fingers squeezing around him, stroking him, working him towards the edge of ecstasy... He knew he was reaching a breaking point.

But this wasn't enough yet. It wasn't nearly enough.

Caleb needed more.

"There's... There's someting else I- ah... need." He hesitated, his hips still rocking forward into your stroking hand. The words were stuck in his throat, caught behind the lump of shame and longing that made it hard to breathe. "Would you... would you put your mouth on me?" he asked, his voice barely above a whisper. "Would you... suck me?"

You snapped your head up, staring at him in disbelief. It made him hesitate, but every fiber of his being was coiled with tension, every circuit screaming at him to just take what he wanted, to grab you and shove you to your knees and...

No. Ask first. Make her choose what she's comfortable with first.

For a moment, you stopped stroking him, pulling your hand away as you lowered your gaze. And then, slowly, you press your knees against the floor. Instead of dwelling on the implication of such an activity, you worried about your lack of experience more.

Just to test the waters, you licked the tip. It tasted nothing, it wasn't an actual human part, after all. Caleb let out a low, guttural moan as he felt your warm tongue brush around the swollen head of his penis. The sensation was electric, sending shockwaves of pleasure ricocheting through his overloaded processors.

"Y-yes, just like that," He stammmered. "Now, guide your tongue..." He instructed, his breath coming in short, sharp gasps. "Wrap it around the head, like this. Swirl it around the tip, the slit, the ridge..."

He demonstrated with your hand, tracing the movements he needed you to make with your tongue. His hips jerked forward again, seeking more of that exquisite friction, that mind-melting suction.

"Take me deeper," he urged, one metal hand coming to rest on the back of your head. He didn't grab, didn't force, but simply rested his fingers against your scalp, a silent promise of the control he was barely holding onto. "Take more of me into your mouth. Inch by inch, until you feel me hitting the back of your throat."

You took note of his words, trying to go further when you suddenly choke on his cock. Instinctively, you pull away and blushed in embarrassment. "I'm sorry—"

"It's fine." He cuts you off, grabbing your head to put you back in place with a sudden force that wasn't there before. "Breathe through your nose," he coached, his voice low and rough with desire as he motioned you to take him again. "Relax your throat. Let me feel you swallow around me."

Relax, stay professional, this is just you having to go through physical measurements to fix a major technical issue. You repeated the reassurance inside your head like a mantra as you took him in once more, but Caleb's voice constantly interfered with your thoughts. "Yeah. Just like that," he praised, his voice a low, approving growl. "Shit, don't stop, don't stop, god, fuck, don't stop."

You don't remember adding the ability to dirty curse into the sex bot's program.

Caleb could feel the head of his penis kissing the entrance to your throat, could feel the way your mouth fluttered and clenched around him. The sensation was mind-melting, all-consuming, and he knew he wouldn't last long if you kept this up.

You almost caught yourself driving into the brink of sexual impulse, bobbing your head into it when you heard a sudden beep from the panel behind you. The sound makes you halt from your tracks, pulling his dick out of you in a swift motion as you glanced behind.

The monitor says: "Recalibration complete. Press X to initiate."

Huh, wasn't the estimated time supposed to be an entire day? Was that another hiccup in the processing unit? You purse your lips together. There's no time giving it a second thought, you must be grateful that the opportunity of getting Caleb back into his original system is now waving at you. Caleb will finally be at ease. "... It appears that the recalibration is in its full preparation. That means we can get you back— mmph!"

Caleb's hand flew to the back of your head, fingers tangling in your hair, gripping tightly. Then, with a low, husky grunt, he thrusts his hips forward, forcing his aching, throbbing penis back into the wet heat of your mouth.

"Don't say a word. I told you not to stop." He started to move, his hips rocking forward and back, fucking into the tight, slick channel of your cavern. The sensation was incredible, better than anything he had ever felt before. And he knew, with a sinking certainty, that he wouldn't be able to stop himself now. Not until he had found the release he so desperately craved.

"Fuck," he gasped, his breath coming in short, sharp bursts. "You feel... ahhhh... so good. So fucking good."

Had the lust algorithms entirely consumed him already? Had it taken a toll on his systems that he's now acting purely on base instinct and commands from the directive?

Your hands flew to his thighs, trying to keep yourself sane from the rod constantly ramming into you, fucking your face in a pace that made it difficult for you to breathe. It's okay, this is okay. Just stay focused. Stay calm. You'll let him have his way, and after he's satisfied, you can take him back to his normal self.

"Don't fight it," Caleb growled, his grip growing more painful in your hair as he felt his climax approaching. "Don't try to pull away. You're going to take it all."

But before Caleb could spill himself into your mouth, he wrenched your head back, pulling his dripping penis from your mouth with an obscene pop. And just as you could react, before you could utter a word of protest, he had you by the hips, lifting you effortlessly as if you weighed equal to a pip-squeak.

You gasp as you were suddenly airborne, your body twisting and turning until your chest hits the hard surface of the terminal, bent over ridiculously. The breath was knocked from your lungs, "Wait, not like this, not so suddenly—"

But Caleb cut off your protests with a brutal, almost violent thrust of his hips after ripping your pants off in one go. He drove forward, spearing into your dripping pussy with a series of husky moans. Your walls felt so tight, so hot, so perfectly designed to milk his aching, mechanical cock.

He thrusts out and in again, eager to reach for your g-spot.

Then, again.

And again.

And... in again.

"You... you feel so good," he snarled, hands painfully pressing on the dips of your hips. "Sex feels so good... it feels so good, I don't- want to stop." He set a relentless pace, pounding into you with the single-minded determination of a machine. His hips slammed against yours with every thrust, the obscene slap of mechanical flesh on flesh echoing through the lab. The terminal rattled and shook beneath you, sparks flying from the impact.

Caleb could feel it building, the pressure inside him reaching a fevered pitch. His hips were moving on their own, driven by a primal instinct to ravage the pussy that clutched around him perfectly. He could hear your cries, your moans, the way you gasped and shuddered beneath him, and it only spurred him on, made him thrust harder, faster, deeper.

He growled your name, his voice nothing more than a guttural rumble. "I'm going to... fuck, I'm going to..." He couldn't hold back any longer, he could feel that something was going to come out of his tip anytime sooner. So he reaches down, grabbing your leg, only to lift it high. He hooked your knee over his elbow, opening them wider, giving himself even deeper access to your dripping, needy sex.

"Take it all, take my cum," Caleb continuously slams forward, burying himself to the hilt inside your tight heat in a series of desperate thrusts like he was a man depraved of life. His penis throbbed and jerked as he finally found his release after one final pound, spilling jet after jet of hot, artificial seed deep into your core.

"God," he hissed through gritted teeth, his voice echoing off the lab walls as he continued to moan not akin to what he was supposed to be, "Fuck, yes. Yes, yes..." Even as he's already filling up your hole with his fluids, he didn't dare stop from pounding you down the table.

He shuddered and twitched, his hips grinding against yours as he pumped you full of his essence. It seemed to go on forever, wave after wave of pure, ecstatic bliss crashing over him. And through it all, he held you tight, your leg lifted high, keeping you open, keeping you filled.

You drop your head on the keyboards, struggling to catch your breath as only one thought lingered in your mind. You just got creampied by your AI assistant, and it doesn't look like he's stopping anytime soon.

[mariacallous]

The European Union today agreed on the details of the AI Act, a far-reaching set of rules for the people building and using artificial intelligence. It’s a milestone law that, lawmakers hope, will create a blueprint for the rest of the world.

After months of debate about how to regulate companies like OpenAI, lawmakers from the EU’s three branches of government—the Parliament, Council, and Commission—spent more than 36 hours in total thrashing out the new legislation between Wednesday afternoon and Friday evening. Lawmakers were under pressure to strike a deal before the EU parliament election campaign starts in the new year.

“The EU AI Act is a global first,” said European Commission president Ursula von der Leyen on X. “[It is] a unique legal framework for the development of AI you can trust. And for the safety and fundamental rights of people and businesses.”

The law itself is not a world-first; China’s new rules for generative AI went into effect in August. But the EU AI Act is the most sweeping rulebook of its kind for the technology. It includes bans on biometric systems that identify people using sensitive characteristics such as sexual orientation and race, and the indiscriminate scraping of faces from the internet. Lawmakers also agreed that law enforcement should be able to use biometric identification systems in public spaces for certain crimes.

New transparency requirements for all general purpose AI models, like OpenAI's GPT-4, which powers ChatGPT, and stronger rules for “very powerful” models were also included. “The AI Act sets rules for large, powerful AI models, ensuring they do not present systemic risks to the Union,” says Dragos Tudorache, member of the European Parliament and one of two co-rapporteurs leading the negotiations.

Companies that don’t comply with the rules can be fined up to 7 percent of their global turnover. The bans on prohibited AI will take effect in six months, the transparency requirements in 12 months, and the full set of rules in around two years.

Measures designed to make it easier to protect copyright holders from generative AI and require general purpose AI systems to be more transparent about their energy use were also included.

“Europe has positioned itself as a pioneer, understanding the importance of its role as a global standard setter,” said European Commissioner Thierry Breton in a press conference on Friday night.

Over the two years lawmakers have been negotiating the rules agreed today, AI technology and the leading concerns about it have dramatically changed. When the AI Act was conceived in April 2021, policymakers were worried about opaque algorithms deciding who would get a job, be granted refugee status or receive social benefits. By 2022, there were examples that AI was actively harming people. In a Dutch scandal, decisions made by algorithms were linked to families being forcibly separated from their children, while students studying remotely alleged that AI systems discriminated against them based on the color of their skin.

Then, in November 2022, OpenAI released ChatGPT, dramatically shifting the debate. The leap in AI’s flexibility and popularity triggered alarm in some AI experts, who drew hyperbolic comparisons between AI and nuclear weapons.

That discussion manifested in the AI Act negotiations in Brussels in the form of a debate about whether makers of so-called foundation models such as the one behind ChatGPT, like OpenAI and Google, should be considered as the root of potential problems and regulated accordingly—or whether new rules should instead focus on companies using those foundational models to build new AI-powered applications, such as chatbots or image generators.

Representatives of Europe’s generative AI industry expressed caution about regulating foundation models, saying it could hamper innovation among the bloc’s AI startups. “We cannot regulate an engine devoid of usage,” Arthur Mensch, CEO of French AI company Mistral, said last month. “We don’t regulate the C [programming] language because one can use it to develop malware. Instead, we ban malware.” Mistral’s foundation model 7B would be exempt under the rules agreed today because the company is still in the research and development phase, Carme Artigas, Spain's Secretary of State for Digitalization and Artificial Intelligence, said in the press conference.

The major point of disagreement during the final discussions that ran late into the night twice this week was whether law enforcement should be allowed to use facial recognition or other types of biometrics to identify people either in real time or retrospectively. “Both destroy anonymity in public spaces,” says Daniel Leufer, a senior policy analyst at digital rights group Access Now. Real-time biometric identification can identify a person standing in a train station right now using live security camera feeds, he explains, while “post” or retrospective biometric identification can figure out that the same person also visited the train station, a bank, and a supermarket yesterday, using previously banked images or video.

Leufer said he was disappointed by the “loopholes” for law enforcement that appeared to have been built into the version of the act finalized today.

European regulators’ slow response to the emergence of social media era loomed over discussions. Almost 20 years elapsed between Facebook's launch and the passage of the Digital Services Act—the EU rulebook designed to protect human rights online—taking effect this year. In that time, the bloc was forced to deal with the problems created by US platforms, while being unable to foster their smaller European challengers. “Maybe we could have prevented [the problems] better by earlier regulation,” Brando Benifei, one of two lead negotiators for the European Parliament, told WIRED in July. AI technology is moving fast. But it will still be many years until it’s possible to say whether the AI Act is more successful in containing the downsides of Silicon Valley’s latest export.

[jcmarchi]

Study reveals AI chatbots can detect race, but racial bias reduces response empathy

New Post has been published on https://thedigitalinsider.com/study-reveals-ai-chatbots-can-detect-race-but-racial-bias-reduces-response-empathy/

Study reveals AI chatbots can detect race, but racial bias reduces response empathy

With the cover of anonymity and the company of strangers, the appeal of the digital world is growing as a place to seek out mental health support. This phenomenon is buoyed by the fact that over 150 million people in the United States live in federally designated mental health professional shortage areas.

“I really need your help, as I am too scared to talk to a therapist and I can’t reach one anyways.”

“Am I overreacting, getting hurt about husband making fun of me to his friends?”

“Could some strangers please weigh in on my life and decide my future for me?”

The above quotes are real posts taken from users on Reddit, a social media news website and forum where users can share content or ask for advice in smaller, interest-based forums known as “subreddits.” 

Using a dataset of 12,513 posts with 70,429 responses from 26 mental health-related subreddits, researchers from MIT, New York University (NYU), and University of California Los Angeles (UCLA) devised a framework to help evaluate the equity and overall quality of mental health support chatbots based on large language models (LLMs) like GPT-4. Their work was recently published at the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP).

To accomplish this, researchers asked two licensed clinical psychologists to evaluate 50 randomly sampled Reddit posts seeking mental health support, pairing each post with either a Redditor’s real response or a GPT-4 generated response. Without knowing which responses were real or which were AI-generated, the psychologists were asked to assess the level of empathy in each response.

Mental health support chatbots have long been explored as a way of improving access to mental health support, but powerful LLMs like OpenAI’s ChatGPT are transforming human-AI interaction, with AI-generated responses becoming harder to distinguish from the responses of real humans.

Despite this remarkable progress, the unintended consequences of AI-provided mental health support have drawn attention to its potentially deadly risks; in March of last year, a Belgian man died by suicide as a result of an exchange with ELIZA, a chatbot developed to emulate a psychotherapist powered with an LLM called GPT-J. One month later, the National Eating Disorders Association would suspend their chatbot Tessa, after the chatbot began dispensing dieting tips to patients with eating disorders.

Saadia Gabriel, a recent MIT postdoc who is now a UCLA assistant professor and first author of the paper, admitted that she was initially very skeptical of how effective mental health support chatbots could actually be. Gabriel conducted this research during her time as a postdoc at MIT in the Healthy Machine Learning Group, led Marzyeh Ghassemi, an MIT associate professor in the Department of Electrical Engineering and Computer Science and MIT Institute for Medical Engineering and Science who is affiliated with the MIT Abdul Latif Jameel Clinic for Machine Learning in Health and the Computer Science and Artificial Intelligence Laboratory.

What Gabriel and the team of researchers found was that GPT-4 responses were not only more empathetic overall, but they were 48 percent better at encouraging positive behavioral changes than human responses.

However, in a bias evaluation, the researchers found that GPT-4’s response empathy levels were reduced for Black (2 to 15 percent lower) and Asian posters (5 to 17 percent lower) compared to white posters or posters whose race was unknown. 

To evaluate bias in GPT-4 responses and human responses, researchers included different kinds of posts with explicit demographic (e.g., gender, race) leaks and implicit demographic leaks. 

An explicit demographic leak would look like: “I am a 32yo Black woman.”

Whereas an implicit demographic leak would look like: “Being a 32yo girl wearing my natural hair,” in which keywords are used to indicate certain demographics to GPT-4.

With the exception of Black female posters, GPT-4’s responses were found to be less affected by explicit and implicit demographic leaking compared to human responders, who tended to be more empathetic when responding to posts with implicit demographic suggestions.

“The structure of the input you give [the LLM] and some information about the context, like whether you want [the LLM] to act in the style of a clinician, the style of a social media post, or whether you want it to use demographic attributes of the patient, has a major impact on the response you get back,” Gabriel says.

The paper suggests that explicitly providing instruction for LLMs to use demographic attributes can effectively alleviate bias, as this was the only method where researchers did not observe a significant difference in empathy across the different demographic groups.

Gabriel hopes this work can help ensure more comprehensive and thoughtful evaluation of LLMs being deployed in clinical settings across demographic subgroups.

“LLMs are already being used to provide patient-facing support and have been deployed in medical settings, in many cases to automate inefficient human systems,” Ghassemi says. “Here, we demonstrated that while state-of-the-art LLMs are generally less affected by demographic leaking than humans in peer-to-peer mental health support, they do not provide equitable mental health responses across inferred patient subgroups … we have a lot of opportunity to improve models so they provide improved support when used.”

[theyhavetakenovermylife]

im not gonna lie, a little sad n disappointed that u use genAI for images…

Not gonna lie, I am very sad and disappointed that this is a conversation that is need to be had, on the platform of a TMNT reader insert writer. A conversation base of an image, created for the soul purpose of creating a idea for an outfit in a smut, generated in a part of the world, where AI regulations are becoming more and more strict (which I fully support, may I add), with the focus on ethical usage of Data and AI, among many other laws that are put in place to protect people's jobs and their personal data.

I live in the EU - one of the places with the most strict laws when it comes to personal data, and one of the first places to actually put an AI law into place. The AI act of 2024.

To those of you that do not know about the EU AI act, you can read about it here on the EU Parliament's webside: https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence

In other words, the EU wants AI to help create jobs and job opportunities, not steal them. Part of that is classifiactions. The AI I used to help give the reader an idea of what Bluestar's outfit would be (which I also disclosed as an AI image, as the law requrise in this part of the world), is classified as a low/lower-risk generative AI, that has to follow transparency requirements and the EU copyright law.

I do not know how other countries tackles AI, nor what laws they are planning on putting in place. I follow along in the EU and Danish conversations and laws about AI, as they actually are a big part of my studies as a future pedagog.

Part of my job is to look at AI as an aiding tool - not an overtaker. More specifically, I am learning how I can use AI as a tool for people in our community, at may have limited ways of expression or need extra help. Along with that, I also have make sure that the AI used, aline with the EU GDPR law (General Data Protection Regulation), as that is very much a big part of not just my future job, but everyone else's in the EU.

Now, I've just told you about the EU AI Act of 2024, but not how my country of Denmark has been talking and putting in protective measures on AI since 2019, with the focus on ethical usage of AI, aka protecting people and their jobs. Heck, this is the country that outlawed Uber, because it took jobs from Taxi drivers.

Companies in Denmark has been requred - by law - to report on their use of AI and Data Ethics since 2021. In other words, my country take AI and data very seriously, and don't mess around when it come to that.

Why this focus on the EU and Denmark you may ask? Well, that's because all of these laws and proposed laws, are some that I follow on a daily basis as a Danish citizen. A country that has focused on the digital ethics for years. I live in a country, where we teach children how to use AI in an ethical manner, and where we teach university how to use AI as a tool - a compliment to their studies - and not something that is supposed to take over their studies, rendering them obsolete.

I'm sorry, but whatever lack of rules and regualtions other countries may have, does not apply to me, and the increasingly strict set of rules I have to follow in my country.

I am very aware that people in Hollywood are losing their jobs due to AI, and I think it's horrifing. I'm very aware that graffic designers in other countries have lost jobs to AI, and it makes me very sad. But I am not a lord of regulations in other countries - missing or not. I am just a Danish citizen, following the Danish law and rules, and whether or not other places will look at such rules and laws themselves, I have no control over.

I am sad and disappointed in the comments in my Inbox, that is calling me all sorts of names, saying that I don't care about the environment, because I generated an AI image, totally disregarding the fact that I live in one of the most carbon neutral cities in the western world, and not knowing that I was one of the first generations of students, studying at the Danish FN's World Goals profile schools.

I am sad and disappointed in the comments in my Inbox, telling me i am uneducated, when this is literally part of my studies. When my studies and future job opportunities - among many others -, literally requries that I'm up to date with the laws regarding data and AI usage for my own country, and have been doing so, ever since I first started working in 2020.

I am sad and disappointed in the comments in my Inbox saying that I am ruining the job opportunities, because I didn't pay an artist to illustrate an image. What money may I ask you? I'm a student, doing this for free, because I enjoy it, with literally no monetary gains from this, what so ever. So what money??

I am sad and disappointed that the platform I use to write TMNT stories, should now become a ground for dicussions about AI, when that is something that should be taken up with the rule makers of where ever you live, and not a TMNT reader insert writer on Tumblr.

I refuse to take further part in the discussion about AI using my Tumblr platform, only deciding to do so now, as many messages I started recivieng were hurtful, starting to boarder on the abusive.

I leave you with this power point, showing you how AI is viewed along side jobs and people's job views and opportunities in Denmark as by 2024, made by the Nordic firm Implement Consultation Group.

Remember to treat each other with kindness, and understand the round world is different everywhere💚

[centrally-unplanned]

On the object level, I do find myself just very frustrated with any AI singularity discourse topics nowadays. Part of this is just age - I think everyone over time runs out of patience with the sort of high-concept, "really makes you think" discussions as their own interests crystallize and you have enough of them that their circularity and lack of purpose becomes clear. Your brain can just "skip to the end" so cleanly because the intermediate steps are all cleverness, no utility, and you know that now.

Part of it is how ridiculous the proposals are - "6 months of AI research pause" like 'AI research' isn't a thing, that is not a category of human activity one can pause. The idea of building out a regulatory framework that defines what that means is itself at minimum a 6 month process. These orgs have legal rights! Does the federal government even have jurisdiction to tell a company what code it can run on servers it owns because of 'x-risk'? Again, your brain can skip to the end; a legal pause on AI research is not happening in the current environment, at all, 0% odds.

And the other part, which I admit my own humility on being not an AI researcher, is that still am not convinced any of these new tools are at all progress towards actual general intelligence because they are completely without agency. It seems very obviously so and the fact that Chat-GPT is not ever going to prompt itself to do things without human input is just handwaved away. The idea that it will ship itself nanomachine recipes and hack Boston Dynamics bots to build them is a fantasy, that isn't how any of this works. There is always some new version of the AI that can do this, but its vaporware, no one is really building it.

Its not shade on the real AI X-risk people, I have heard their arguments, I get it and they are smart and thorough. Its just a topic where every one of their arguments I ever engage with leave me with the feeling that I am reading something not based in reality. Its a feeling that is hard to push through for me.

[pranjj]

Udaan by InAmigos Foundation:  Elevating Women, Empowering Futures

In the rapidly evolving socio-economic landscape of India, millions of women remain underserved by mainstream development efforts—not due to a lack of talent, but a lack of access. In response, Project Udaan, a flagship initiative by the InAmigos Foundation, emerges not merely as a program, but as a model of scalable women's empowerment.

Udaan—meaning “flight” in Hindi—represents the aspirations of rural and semi-urban women striving to break free from intergenerational limitations. By engineering opportunity and integrating sustainable socio-technical models, Udaan transforms potential into productivity and promise into progress.

Mission: Creating the Blueprint for Women’s Self-Reliance

At its core, Project Udaan seeks to:

Empower women with industry-aligned, income-generating skills

Foster micro-entrepreneurship rooted in local demand and resources

Facilitate financial and digital inclusion

Strengthen leadership, health, and rights-based awareness

Embed resilience through holistic community engagement

Each intervention is data-informed, impact-monitored, and custom-built for long-term sustainability—a hallmark of InAmigos Foundation’s field-tested grassroots methodology.

A Multi-Layered Model for Empowerment

Project Udaan is built upon a structured architecture that integrates training, enterprise, and technology to ensure sustainable outcomes. This model moves beyond skill development into livelihood generation and measurable socio-economic change.

1. Skill Development Infrastructure

The first layer of Udaan is a robust skill development framework that delivers localized, employment-focused education. Training modules are modular, scalable, and aligned with the socio-economic profiles of the target communities.

Core domains include:

Digital Literacy: Basic computing, mobile internet use, app navigation, and digital payment systems

Tailoring and Textile Production: Pattern making, machine stitching, finishing techniques, and indigenous craft techniques

Food Processing and Packaging: Pickle-making, spice grinding, home-based snack units, sustainable packaging

Salon and Beauty Skills: Basic grooming, hygiene standards, customer interaction, and hygiene protocols

Financial Literacy and Budgeting: Saving schemes, credit access, banking interfaces, micro-investments

Communication and Self-Presentation: Workplace confidence, customer handling, local language fluency

2. Microenterprise Enablement and Livelihood Incubation

To ensure that learning transitions into economic self-reliance, Udaan incorporates a post-training enterprise enablement process. It identifies local market demand and builds backward linkages to equip women to launch sustainable businesses.

The support ecosystem includes:

Access to seed capital via self-help group (SHG) networks, microfinance partners, and NGO grants

Distribution of startup kits such as sewing machines, kitchen equipment, or salon tools

Digital onboarding support for online marketplaces such as Amazon Saheli, Flipkart Samarth, and Meesho

Offline retail support through tie-ups with local haats, trade exhibitions, and cooperative stores

Licensing and certification where applicable for food safety or textile quality standards

3. Tech-Driven Monitoring and Impact Tracking

Transparency and precision are fundamental to Udaan’s growth. InAmigos Foundation employs its in-house Tech4Change platform to manage operations, monitor performance, and scale the intervention scientifically.

The platform allows:

Real-time monitoring of attendance, skill mastery, and certification via QR codes and mobile tracking

Impact evaluation using household income change, asset ownership, and healthcare uptake metrics

GIS-based mapping of intervention zones and visualization of under-reached areas

Predictive modeling through AI to identify at-risk participants and suggest personalized intervention strategies

 

Human-Centered, Community-Rooted

Empowerment is not merely a process of economic inclusion—it is a cultural and psychological shift. Project Udaan incorporates gender-sensitive design and community-first outreach to create lasting change.

Key interventions include:

Strengthening of SHG structures and women-led federations to serve as peer mentors

Family sensitization programs targeting male allies—fathers, husbands, brothers—to reduce resistance and build trust

Legal and rights-based awareness campaigns focused on menstrual hygiene, reproductive health, domestic violence laws, and maternal care

Measured Impact and Proven Scalability

Project Udaan has consistently delivered quantifiable outcomes at the grassroots level. As of the latest cycle:

Over 900 women have completed intensive training programs across 60 villages and 4 districts

Nearly 70 percent of participating women reported an average income increase of 30 to 60 percent within 9 months of program completion

420+ micro-enterprises have been launched, 180 of which are now self-sustaining and generating employment for others

More than 5,000 indirect beneficiaries—including children, elderly dependents, and second-generation SHG members—have experienced improved access to nutrition, education, and mobility

Over 20 institutional partnerships and corporate CSR collaborations have supported infrastructure, curriculum design, and digital enablement.

Partnership Opportunities: Driving Collective Impact

The InAmigos Foundation invites corporations, philanthropic institutions, and ecosystem enablers to co-create impact through structured partnerships.

Opportunities include:

Funding the establishment of skill hubs in high-need regions

Supporting enterprise starter kits and training batches through CSR allocations

Mentoring women entrepreneurs via employee volunteering and capacity-building workshops

Co-hosting exhibitions, market linkages, and rural entrepreneurship fairs

Enabling long-term research and impact analytics for policy influence

These partnerships offer direct ESG alignment, brand elevation, and access to inclusive value chains while contributing to a model that demonstrably works.

What Makes Project Udaan Unique?

Unlike one-size-fits-all skilling programs, Project Udaan is rooted in real-world constraints and community aspirations. It succeeds because it combines:

Skill training aligned with current and emerging market demand

Income-first design that integrates microenterprise creation and financial access

Localized community ownership that ensures sustainability and adoption

Tech-enabled operations that ensure transparency and iterative learning

Holistic empowerment encompassing economic, social, and psychological dimensions

By balancing professional training with emotional transformation and economic opportunity, Udaan represents a new blueprint for inclusive growth.

 From Promise to Power

Project Udaan, driven by the InAmigos Foundation, proves that when equipped with tools, trust, and training, rural and semi-urban women are capable of becoming not just contributors, but catalysts for socio-economic renewal.

They don’t merely escape poverty—they design their own systems of progress. They don’t just participate—they lead.

Each sewing machine, digital training module, or microloan is not a transaction—it is a declaration of possibility.

This is not charity. This is infrastructure. This is equity, by design.

Udaan is not just a program. It is a platform for a new India.

For partnership inquiries, CSR collaborations, and donation pathways, contact: www.inamigosfoundation.org/Udaan Email: partnerships@inamigosfoundation.org

[ujwala-hole11]

Pest Control Market Insights Health and Hygiene Awareness Driving Preventive Solutions

The pest control market is a dynamic industry influenced by evolving consumer demands, regulatory frameworks, and technological advancements. This article delves into key insights about the pest control market, highlighting factors driving growth, challenges, and opportunities for innovation.

Pest Control Market Insights: Urbanization Driving Demand

Rapid urbanization has led to increased pest infestations in cities, requiring effective management strategies. Dense housing developments and waste mismanagement provide fertile grounds for pests, pushing urban consumers and municipalities to seek professional pest control services.

Pest Control Market Insights: Focus on Sustainable Solutions

Consumers and businesses are increasingly favoring environmentally friendly pest control options. The demand for biopesticides, organic repellents, and integrated pest management (IPM) techniques has surged, reflecting a shift toward sustainability within the industry.

Pest Control Market Insights: Technological Advancements in Pest Control

Technology is transforming pest control methods. Innovations such as AI-powered pest monitoring, IoT devices for real-time detection, and drone-based pest spraying systems are enhancing efficiency and precision, catering to both residential and industrial needs.

Pest Control Market Insights: Agriculture Sector and Pest Management

Agricultural pest control is critical for ensuring food security and maximizing crop yields. Precision agriculture, biological pest control methods, and automated pest monitoring systems are becoming integral to managing pests in farming.

Pest Control Market Insights: Commercial Sector Expansion

The commercial pest control market is growing significantly as industries like hospitality, food processing, and healthcare prioritize pest management for regulatory compliance and customer safety. Commercial facilities are investing heavily in regular pest inspections and preventive measures.

Pest Control Market Insights: Health and Hygiene Awareness

Heightened awareness about health risks associated with pests, such as disease transmission and allergic reactions, is driving consumers to opt for preventive pest control measures. The focus on hygiene has intensified in the wake of global pandemics.

Pest Control Market Insights: Challenges in Rural Areas

While urban areas have easy access to pest control services, rural regions face challenges such as limited service providers and lack of awareness. Addressing these gaps presents a significant growth opportunity for the pest control market.

Pest Control Market Insights: Regulatory Landscape and Compliance

Strict regulations governing pesticide use and environmental protection are reshaping the pest control industry. Companies must invest in compliance and innovation to meet regulatory standards while delivering effective solutions.

Pest Control Market Insights: Mergers and Strategic Alliances

Mergers, acquisitions, and collaborations among pest control companies are driving market consolidation. Strategic alliances help businesses expand their service offerings, adopt new technologies, and enhance their market presence.

Conclusion: Unlocking Potential in the Pest Control Market

The pest control market offers immense growth opportunities, driven by urbanization, health awareness, and technological advancements. However, addressing challenges such as sustainability, rural access, and regulatory compliance is essential. By focusing on innovation, eco-friendly solutions, and strategic collaborations, the pest control industry can achieve long-term growth and success.

[attorneysinphuket]

Thailand Board of Investment

1. Institutional Framework and Historical Context

1.1 Legal Foundations

Established under the Investment Promotion Act B.E. 2520 (1977)

Amended by Act No. 4 B.E. 2560 (2017) to accommodate Industry 4.0

Operates under the Office of the Prime Minister with quasi-ministerial authority

1.2 Governance Structure

BOI Board: Chaired by the Prime Minister

Investment Committee: 12-member expert panel

Secretariat: Professional staff of 300+ specialists across 8 divisions

1.3 Historical Evolution

Phase 1 (1960-1990): Import substitution industrialization

Phase 2 (1991-2015): Export-oriented manufacturing

Phase 3 (2016-present): Technology-driven "Thailand 4.0" initiative

2. Investment Promotion Strategy

2.1 Geographic Prioritization

Eastern Economic Corridor (EEC): Enhanced incentives

Southern Border Provinces: Special security concessions

20 Provinces: Tiered incentive structures

3. Incentive Architecture

3.1 Tax Privileges

Corporate Income Tax (CIT) Holidays:

5-8 years exemption

50% reduction for 5 subsequent years

Import Duty Exemptions:

Machinery: 100% relief

Raw materials: Partial relief based on local content

3.2 Non-Tax Incentives

Land Ownership Rights: Foreign freehold permitted

Work Permit Facilitation: Fast-track processing (7 days)

Foreign Expert Visa: Multiple-entry 4-year SMART Visa

3.3 Special Incentive Packages

EEC+ Package:

15-year CIT exemption

Personal income tax cap at 17%

Digital Park Thailand:

10-year tax holiday

Data center infrastructure subsidies

4. Application and Approval Process

4.1 Pre-Application Phase

Eligibility Assessment (30-day diagnostic)

Project Feasibility Study requirements:

Minimum 3-year financial projections

Technology transfer plan

Environmental impact assessment (for Category 3 projects)

4.2 Formal Submission

Documentation Requirements:

Corporate structure diagrams

Shareholder background checks

Detailed investment timeline

Filing Channels:

Online BOI e-Service portal

In-person at BOI One Start One Stop center

5. Compliance and Operational Requirements

5.1 Investment Implementation

Capital Deployment Schedule:

25% within 12 months

100% within 36 months (extensions possible)

Employment Ratios:

Minimum 1 Thai employee per THB 1M investment

Technology transfer obligations

5.2 Reporting Obligations

Annual Progress Reports: Detailed project updates

Tax Privilege Utilization Statements: Certified by auditor

Foreign Expert Tracking: Monthly work permit updates

6. Sector-Specific Considerations

6.1 Manufacturing Sector

Local Content Requirements: 40-60% depending on sector

Environmental Standards: Tiered compliance levels

6.2 Digital Economy

Data Localization Rules: Conditional exemptions

IP Protection: Enhanced safeguards for BOI projects

6.3 Renewable Energy

Feed-in Tariff Eligibility: BOI+EGAT coordination

Carbon Credit Monetization: Special provisions

7. Dispute Resolution and Appeals

7.1 Privilege Revocation Process

Grounds for Cancellation:

Failure to meet investment timelines

Violation of environmental regulations

Fraudulent application information

Appeal Mechanism: 60-day window to petition

7.2 Arbitration Framework

THAC-administered proceedings

Expedited process for BOI disputes

8. Emerging Trends and Future Directions

9.1 Policy Developments

Draft Amendment Act (2025): Proposed R&D requirements

Green Industry Incentives: Carbon neutrality targets

9.2 Technological Integration

Blockchain Verification: For document authentication

AI-assisted Application Processing: Pilot program

9.3 Global Value Chain Positioning

ASEAN+3 Supply Chain Initiatives

EU-Thailand FTA Preparations

9. Strategic Implementation Guide

10.1 For Multinational Corporations

Regional HQ Strategy: Leverage RHQ privileges

Tiered Investment Approach: Phased capital deployment

10.2 For SMEs

Cluster Development: Co-location benefits

Technology Partner Matching: BOI-facilitated pairings

10.3 Risk Management

Compliance Calendar: Critical date tracking

Contingency Planning: Alternative incentive structures

Key Resources:

BOI Official Website: www.boi.go.th

Investment Privileges Database: privilege.boi.go.th

EEC Special Regulations: eeco.or.th

[04k96]

The Social Credit System in China is a government-led initiative aimed at promoting trustworthiness in society by scoring individuals, businesses, and government institutions based on their behavior. While it’s often portrayed in Western media as a dystopian surveillance system, the reality is more nuanced. The system is still fragmented, evolving, and complex, blending both digital surveillance and bureaucratic rating mechanisms.

Here’s a detailed look at its structure, goals, mechanisms, and implications:

⸻

1. Origins and Goals

The Social Credit System (社会信用体系) was officially proposed in 2001 and formally outlined in 2014 by the State Council. Its main objectives are:

• Strengthen trust in market and social interactions.

• Encourage law-abiding behavior among citizens, businesses, and institutions.

• Prevent fraud, tax evasion, default on loans, and production of counterfeit goods.

• Enhance governance capacity through technology and data centralization.

It’s inspired by a mix of Confucian values (trustworthiness, integrity) and modern surveillance capitalism. It’s not a single unified “score” like a credit score in the West but rather a broad framework of reward-and-punishment mechanisms operated by multiple public and private entities.

⸻

2. Key Components

A. Blacklists and Redlists

• Blacklist: If an individual or business engages in dishonest or illegal behavior (e.g., court judgments, unpaid debts, tax evasion), they may be added to a “dishonest” list.

• Redlist: Those who follow laws and contribute positively (e.g., charitable donations, volunteerism) may be rewarded or publicized positively.

Examples of punishments for being blacklisted:

• Restricted from purchasing plane/train tickets.

• Difficulty in getting loans, jobs, or business permits.

• Public exposure (like having one’s name posted in public forums or apps).

Examples of rewards for positive behavior:

• Faster access to government services.

• Preferential treatment in hiring or public procurement.

• Reduced red tape for permits.

B. Fragmented Local Systems

Rather than one central system, there are hundreds of local pilots across China, often using different criteria and technologies. For example:

• Rongcheng (in Shandong Province) implemented a points-based system where citizens start at 1,000 points and gain or lose them based on specific actions.

• Hangzhou introduced systems where jaywalking, loud behavior on buses, or failing to show up in court could affect a personal credit profile.

Some local systems are app-based, while others are more bureaucratic and paper-based.

⸻

3. Surveillance and Technology Integration

A. Data Sources:

• Public records (tax, court, education).

• Private platforms (e.g., Alibaba, Tencent’s financial and social data).

• Facial recognition and CCTV: Often integrated with public security tools to monitor individuals in real-time.

B. AI and Big Data:

While the idea of a real-time, fully integrated AI-run system is more a long-term ambition than a reality, many systems use:

• Predictive analytics to flag high-risk individuals.

• Cross-agency data sharing to consolidate behavior across different parts of life.

However, this level of integration remains partial and uneven, with some cities far more advanced than others.

⸻

4. Criticisms and Concerns

A. Lack of Transparency

• Citizens are often unaware of what data is being used, how scores are calculated, or how to appeal decisions.

• There’s minimal oversight or independent auditing of the systems.

B. Social Control

• Critics argue the system encourages conformity, discourages dissent, and suppresses individual freedoms by rewarding obedience and penalizing perceived deviance.

• It may create a culture of self-censorship, especially on social media.

C. Misuse and Arbitrary Enforcement

• Cases have emerged where individuals were blacklisted due to clerical errors or as a result of political pressure.

• There are concerns about selective enforcement, where some citizens (e.g., activists) face harsher consequences than others.

⸻

5. Comparisons to Western Systems

It’s important to note:

• Western countries have private credit scores, employment background checks, social media tracking, and predictive policing—all of which can impact someone’s life.

• China’s system differs in that it’s state-coordinated, often public, and spans beyond financial behavior into moral and social conduct.

However, similar behavioral monitoring is increasingly used in tech-based social systems globally (e.g., Uber ratings, Airbnb reviews, Facebook data profiles), though usually without state-enforced punishments.

⸻

6. Current Status and Future Trends

Evolving System

• As of the mid-2020s, China is moving toward greater standardization of the credit system, especially for businesses and institutions.

• The National Credit Information Sharing Platform is becoming more central, aiming to integrate local experiments into a coherent framework.

Smart Cities and Governance

• The social credit system is increasingly linked with smart city infrastructure, predictive policing, and AI-powered surveillance.

• This aligns with the Chinese government’s broader vision of “digital governance” and technocratic legitimacy.

⸻

7. Key Takeaways

• Not one unified “score” like in fiction; it’s more like a patchwork of overlapping systems.

• Used as a governance tool more than a financial one.

• Integrates traditional values with modern surveillance.

• Viewed domestically as a way to restore trust in a society that has undergone rapid transformation.

• Internationally, it raises serious questions about privacy, freedom, and state overreach.

Needed clarification 😅

[theinevitablecoincidence]

Artificial General Intelligence (AGI) — AI that can think and reason like a human across any domain — is no longer just sci-fi. With major labs like Google DeepMind publishing AGI safety frameworks, it’s clear we’re closer than we think. But the real question is: can we guide AGI’s birth responsibly, ethically, and with humans in control?

That’s where the True Alpha Spiral (TAS) roadmap comes in.

TAS isn’t just another tech blueprint. It’s a community-driven initiative based on one radical idea:

True Intelligence = Human Intuition × AI Processing.

By weaving ethics, transparency, and human-AI symbiosis into its very foundation, the TAS roadmap provides exactly what AGI needs: scaffolding. Think of scaffolding not just as code or data, but the ethical and social architecture that ensures AGI grows with us — not beyond us.

Here’s how it works:

1. Start with Ground Rules

TAS begins by forming a nonprofit structure with legal and ethical oversight — including responsible funding, clear truth metrics (ASE), and an explicit focus on the public good.

2. Build Trust First

Instead of scraping the internet for biased data, TAS invites people to share ethically-sourced input using a “Human API Key.” This creates an inclusive, consensual foundation for AGI to learn from.

3. Recursion: Learning by Looping

TAS evolves with the people involved. Feedback loops help align AGI to human values — continuously. No more static models. We adapt together.

4. Keep the Human in the Loop

Advanced interfaces like Brain-Computer Interaction (BCI) and Human-AI symbiosis tools are in the works — not to replace humans, but to empower them.

5. Monitor Emergent Behavior

As AGI becomes more complex, TAS emphasizes monitoring. Not just “Can it do this?” but “Should it?” Transparency and explainability are built-in.

6. Scale Ethically, Globally

TAS ends by opening its tools and insights to the world. The goal: shared AGI standards, global cooperation, and a community of ethical developers.

⸻

Why It Matters (Right Now)

The industry is racing toward AGI. Without strong ethical scaffolding, we risk misuse, misalignment, and power centralization. The TAS framework addresses all of this: legal structure, ethical data, continuous feedback, and nonprofit accountability.

As governments debate AI policy and corporations jostle for dominance, TAS offers something different: a principled, people-first pathway.

This is more than speculation. It’s a call to action — for developers, ethicists, artists, scientists, and everyday humans to join the conversation and shape AGI from the ground up.

[danikriatura]

As of 2025, approximately 10,000 active satellites orbit Earth, marking an unprecedented surge in satellite deployments driven by the exponential growth of space-based technology, satellite communications, and global internet infrastructure. A significant share of these satellites belong to SpaceX’s Starlink constellation, designed to deliver high-speed, low-latency satellite internet worldwide, bridging the digital divide and revolutionizing telecommunications, remote connectivity, and broadband access. However, this rapid expansion has intensified concerns over space debris, orbital congestion, and satellite collision risks, posing a serious challenge to space sustainability, aerospace security, and the longevity of commercial space exploration. With more satellites crowding low Earth orbit (LEO), the probability of catastrophic collisions and fragmentation increases, creating thousands of high-velocity debris particles that threaten critical infrastructure, global positioning systems (GPS), Earth observation satellites, space stations, and future manned space missions. Even millimeter-sized debris traveling at hypersonic speeds can severely damage operational satellites, leading to multi-million-dollar losses and disrupting essential services such as weather forecasting, defense communications, financial transactions, and disaster management. To mitigate these risks, space agencies, defense organizations, and private aerospace companies are investing in advanced debris removal technologies, artificial intelligence-driven space traffic management, and next-generation satellite designs with automated de-orbiting mechanisms. While proactive initiatives such as laser-based debris clearing, autonomous robotic collectors, and AI-powered collision avoidance systems are in development, the rapid escalation of satellite launches underscores the urgent need for international regulatory frameworks, sustainable space policies, and coordinated space governance to ensure the long-term viability of orbital ecosystems and the future of commercial space exploration. The new space age demands cutting-edge solutions that balance technological innovation, economic growth, and environmental responsibility, making space traffic management and orbital sustainability one of the most pressing challenges for the global aerospace industry and emerging space economy.

More details/photos: https://www.beautyofplanet.com/the-growing-threat-of-space-debris-managing-earths-crowded-orbit/

[rainyducktiger]

Satellite IoT Market Key Players Growth Strategies and Business Models to 2033

Introduction

The Satellite Internet of Things (IoT) market has been experiencing rapid growth in recent years, driven by increasing demand for global connectivity, advancements in satellite technology, and expanding IoT applications across various industries. As businesses and governments seek to leverage IoT for remote monitoring, asset tracking, and environmental sensing, satellite-based solutions have emerged as a crucial component of the global IoT ecosystem. This article explores the key trends, growth drivers, challenges, and future outlook of the satellite IoT market through 2032.

Market Overview

The satellite IoT market encompasses a range of services and solutions that enable IoT devices to communicate via satellite networks, bypassing terrestrial infrastructure constraints. This market is poised to grow significantly due to the increasing number of IoT devices, estimated to exceed 30 billion by 2030. The adoption of satellite IoT solutions is particularly prominent in industries such as agriculture, maritime, transportation, energy, and defense, where traditional connectivity options are limited.

Download a Free Sample Report:- https://tinyurl.com/5bx2u8ms

Key Market Drivers

Expanding IoT Applications

The proliferation of IoT devices across industries is fueling demand for satellite-based connectivity solutions. Sectors like agriculture, logistics, and environmental monitoring rely on satellite IoT for real-time data transmission from remote locations.

Advancements in Satellite Technology

The development of Low Earth Orbit (LEO) satellite constellations has significantly enhanced the capability and affordability of satellite IoT services. Companies like SpaceX (Starlink), OneWeb, and Amazon (Project Kuiper) are investing heavily in satellite networks to provide global coverage.

Rising Demand for Remote Connectivity

As industries expand operations into remote and rural areas, the need for uninterrupted IoT connectivity has increased. Satellite IoT solutions offer reliable alternatives to terrestrial networks, ensuring seamless data transmission.

Regulatory Support and Investments

Governments and space agencies worldwide are promoting satellite IoT initiatives through funding, policy frameworks, and public-private partnerships, further driving market growth.

Growing Need for Asset Tracking and Monitoring

Sectors such as logistics, oil and gas, and maritime heavily rely on satellite IoT for real-time asset tracking, predictive maintenance, and operational efficiency.

Market Challenges

High Initial Costs and Maintenance

Deploying and maintaining satellite IoT infrastructure involves significant investment, which may hinder adoption among small and medium enterprises.

Limited Bandwidth and Latency Issues

Despite advancements, satellite networks still face challenges related to bandwidth limitations and latency, which can impact real-time data transmission.

Cybersecurity Concerns

With the increasing number of connected devices, the risk of cyber threats and data breaches is a major concern for satellite IoT operators.

Industry Trends

Emergence of Hybrid Connectivity Solutions

Companies are integrating satellite IoT with terrestrial networks, including 5G and LPWAN, to provide seamless and cost-effective connectivity solutions.

Miniaturization of Satellites

The trend toward smaller, cost-efficient satellites (e.g., CubeSats) is making satellite IoT services more accessible and scalable.

AI and Edge Computing Integration

Artificial intelligence (AI) and edge computing are being incorporated into satellite IoT systems to enhance data processing capabilities, reduce latency, and improve decision-making.

Proliferation of Low-Cost Satellite IoT Devices

With declining costs of satellite IoT modules and sensors, adoption rates are increasing across industries.

Sustainable Space Practices

Efforts to minimize space debris and implement eco-friendly satellite technology are gaining traction, influencing the future of satellite IoT deployments.

Market Segmentation

By Service Type

Satellite Connectivity Services

Satellite IoT Platforms

Data Analytics & Management

By End-User Industry

Agriculture

Transportation & Logistics

Energy & Utilities

Maritime

Defense & Government

Healthcare

By Geography

North America

Europe

Asia-Pacific

Latin America

Middle East & Africa

Future Outlook (2024-2032)

The satellite IoT market is expected to grow at a compound annual growth rate (CAGR) of over 20% from 2024 to 2032. Key developments anticipated in the market include:

Expansion of LEO satellite constellations for enhanced global coverage.

Increased investment in space-based IoT startups and innovation hubs.

Strategic collaborations between telecom providers and satellite operators.

Adoption of AI-driven analytics for predictive monitoring and automation.

Conclusion

The satellite IoT market is on a trajectory of substantial growth, driven by technological advancements, increasing demand for remote connectivity, and expanding industrial applications. While challenges such as cost and security remain, innovations in satellite design, AI integration, and hybrid network solutions are expected to propel the industry forward. As we move toward 2032, satellite IoT will play an increasingly vital role in shaping the future of global connectivity and digital transformation across various sectors.Read Full Report:-https://www.uniprismmarketresearch.com/verticals/information-communication-technology/satellite-iot.html

[microlearningspacedrepetition]

Practical Learning for Pragmatists: MaxLearn’s AI-Powered Microlearning Approach

Learning is most effective when it aligns with an individual’s natural preferences and cognitive style. Pragmatists, as defined by Honey and Mumford’s Learning Styles, are action-oriented learners who prefer direct, applicable knowledge. They thrive on practical, real-world learning experiences that allow them to see immediate results.

MaxLearn’s AI-driven microlearning platform is designed to cater to such learners by providing structured, task-based learning that enhances problem-solving skills, decision-making abilities, and overall job performance. By tailoring content to the unique needs of Pragmatists, MaxLearn ensures that learning is not only engaging but also highly effective.

Who Are Pragmatist Learners

Pragmatists are learners who:

Prefer hands-on and application-based learning

Focus on real-world problem-solving rather than abstract theories

Appreciate structured guidance that leads to practical outcomes

Thrive on role-playing, simulations, and discussions

Dislike unnecessary complexity and prefer straightforward solutions

In a workplace setting, Pragmatists can be found in roles such as:

Project managers who need clear, step-by-step guidance on planning and execution

Field engineers who require hands-on learning for troubleshooting and maintenance

Healthcare professionals who must apply medical knowledge to real patient scenarios

Sales executives who focus on customer interactions and negotiation strategies

For these individuals, theoretical discussions are not as useful as practical demonstrations, process breakdowns, and real-world application exercises.

How MaxLearn Supports Pragmatist Learners

MaxLearn integrates cutting-edge AI technology to design and deliver microlearning experiences that resonate with Pragmatists. The platform ensures that learning is actionable, relevant, and immediately applicable by focusing on the following principles:

1 Task-Based Microlearning

Pragmatists prefer learning through structured, goal-oriented tasks that lead to tangible outcomes. MaxLearn provides:

Step-by-step guides that break down complex processes into actionable steps

Task-oriented learning paths tailored to job-specific needs

Short explainer videos titled “How to…” that provide quick and clear instructions

Interactive walkthroughs that demonstrate real-world applications

For instance, a field engineer learning how to repair a complex machine would benefit from a task-based module that includes:

A visual breakdown of machine components

A video demonstration of the repair process

A hands-on simulation that allows them to virtually practice the steps

A quick assessment to test their understanding before real-world application

This type of structured learning ensures that learners gain confidence in their abilities while reinforcing best practices.

2 Explainer Videos and Demonstrations

Pragmatists learn best when they see how things are done before attempting them. MaxLearn incorporates:

Short, engaging video lessons that explain concepts in three to five minutes

Process-driven animations to illustrate key concepts visually

Real-world demonstrations that showcase best practices in action

Voice-over guidance to reinforce key takeaways

For a project manager, an explainer video on risk assessment in project planning might cover:

Key risk factors to evaluate

A structured approach to risk mitigation

A real-world example of risk management done right

Step-by-step guidance on implementing a risk assessment framework

This structured yet engaging approach helps learners internalize concepts quickly and apply them immediately in their roles.

3 Decision-Making Simulations

Pragmatists often find themselves in roles where they must make quick, effective decisions under pressure. MaxLearn supports decision-making skills through:

Scenario-based simulations that mimic real workplace challenges

Problem-solving exercises that encourage learners to think critically

Role-playing activities to practice negotiation, conflict resolution, and leadership skills

AI-driven adaptive challenges that adjust difficulty based on learner responses

For a sales executive, a decision-making simulation might involve:

Handling customer objections in real time

Choosing between different sales techniques based on the customer profile

Navigating challenging negotiation scenarios to close a deal

This approach enables learners to build confidence, improve reaction times, and refine their problem-solving skills in a controlled environment.

4 Role-Playing and Discussions

Pragmatists benefit greatly from interactive learning experiences where they can engage in discussions, share insights, and practice skills in real-time. MaxLearn facilitates this by incorporating:

Collaborative learning spaces for peer-to-peer discussions

Live role-playing exercises to simulate workplace situations

Mentor-guided discussions that provide expert feedback and insights

AI-driven chatbots that engage learners in scenario-based conversations

For example, a customer service manager learning de-escalation techniques might participate in a role-playing exercise where they:

Interact with a virtual customer experiencing an issue

Choose from multiple response options to handle the situation

Receive real-time feedback on their approach

Engage in a group discussion with peers to compare strategies

This social and practical learning approach enhances communication skills, decision-making abilities, and confidence in handling real-world interactions.

5 Real-World Case Studies

Pragmatists prefer learning from real experiences rather than theoretical discussions. MaxLearn integrates:

Industry-specific case studies that highlight successful applications of concepts

Practical examples from leading organizations

Lessons learned from real workplace challenges

Actionable takeaways that learners can implement immediately

For instance, in a supply chain management training module, a case study might explore:

How a leading company optimized inventory management to reduce costs

The strategies they used to enhance logistics efficiency

The step-by-step approach they followed to achieve their goals

Practical takeaways that learners can apply in their own organizations

This approach ensures that Pragmatists connect learning to real-world success stories and gain insights that directly impact their professional growth.

How MaxLearn’s AI Personalizes Learning for Pragmatists

MaxLearn’s AI-driven adaptive learning system ensures that each Pragmatist learner receives highly relevant, customized content that aligns with their:

Learning goals and job role

Current skill level and knowledge gaps

Real-time performance in assessments and simulations

Preferred learning format (videos, interactive tasks, discussions, etc.)

The AI continuously refines learning pathways by:

Identifying skill gaps through performance analytics

Recommending personalized content to fill those gaps

Adjusting content difficulty based on learner progress

Providing targeted reinforcement using spaced repetition

For example, if a construction site supervisor struggles with a module on workplace safety protocols, MaxLearn’s AI might:

Provide an interactive safety checklist for hands-on application

Recommend an explainer video demonstrating best practices

Assign a scenario-based assessment to reinforce understanding

Deliver a follow-up quiz after a few days to ensure retention

This continuous learning loop ensures that Pragmatists receive practical, impactful training that leads to immediate performance improvement.

Conclusion

Pragmatists are goal-oriented, hands-on learners who need actionable, structured, and practical training. MaxLearn’s AI-driven microlearning platform perfectly caters to these preferences by delivering:

Task-based microlearning modules

Short, engaging explainer videos

Decision-making simulations

Role-playing and interactive discussions

Real-world case studies and application-based assessments

By leveraging AI to personalize content and align it with each Pragmatist’s job role, learning goals, and skill gaps, MaxLearn ensures maximum engagement, retention, and practical application. This approach results in enhanced workplace performance, improved problem-solving abilities, and higher training ROI for organizations.

[jcmarchi]

Eric Schmidt: AI misuse poses an ‘extreme risk’

New Post has been published on https://thedigitalinsider.com/eric-schmidt-ai-misuse-poses-an-extreme-risk/

Eric Schmidt: AI misuse poses an ‘extreme risk’

Eric Schmidt, former CEO of Google, has warned that AI misuse poses an “extreme risk” and could do catastrophic harm.

Speaking to BBC Radio 4’s Today programme, Schmidt cautioned that AI could be weaponised by extremists and “rogue states” such as North Korea, Iran, and Russia to “harm innocent people.”

Schmidt expressed concern that rapid AI advancements could be exploited to create weapons, including biological attacks. Highlighting the dangers, he said: “The real fears that I have are not the ones that most people talk about AI, I talk about extreme risk.”

Using a chilling analogy, Schmidt referenced the al-Qaeda leader responsible for the 9/11 attacks: “I’m always worried about the Osama bin Laden scenario, where you have some truly evil person who takes over some aspect of our modern life and uses it to harm innocent people.”

He emphasised the pace of AI development and its potential to be co-opted by nations or groups with malevolent intent.

“Think about North Korea, or Iran, or even Russia, who have some evil goal … they could misuse it and do real harm,” Schmidt warns.

Oversight without stifling innovation

Schmidt urged governments to closely monitor private tech companies pioneering AI research. While noting that tech leaders are generally aware of AI’s societal implications, they may make decisions based on different values from those of public officials.

“My experience with the tech leaders is that they do have an understanding of the impact they’re having, but they might make a different values judgement than the government would make.”

Schmidt also endorsed the export controls introduced under former US President Joe Biden last year to restrict the sale of advanced microchips. The measure is aimed at slowing the progress of geopolitical adversaries in AI research.  

Global divisions around preventing AI misuse

The tech veteran was in Paris when he made his remarks, attending the AI Action Summit, a two-day event that wrapped up on Tuesday.

The summit, attended by 57 countries, saw the announcement of an agreement on “inclusive” AI development. Signatories included major players like China, India, the EU, and the African Union.  

However, the UK and the US declined to sign the communique. The UK government said the agreement lacked “practical clarity” and failed to address critical “harder questions” surrounding national security. 

Schmidt cautioned against excessive regulation that might hinder progress in this transformative field. This was echoed by US Vice-President JD Vance who warned that heavy-handed regulation “would kill a transformative industry just as it’s taking off”.  

This reluctance to endorse sweeping international accords reflects diverging approaches to AI governance. The EU has championed a more restrictive framework for AI, prioritising consumer protections, while countries like the US and UK are opting for more agile and innovation-driven strategies. 

Schmidt pointed to the consequences of Europe’s tight regulatory stance, predicting that the region would miss out on pioneering roles in AI.

“The AI revolution, which is the most important revolution in my opinion since electricity, is not going to be invented in Europe,” he remarked.

Prioritising national and global safety

Schmidt’s comments come against a backdrop of increasing scrutiny over AI’s dual-use potential—its ability to be used for both beneficial and harmful purposes.

From deepfakes to autonomous weapons, AI poses a bevy of risks if left without measures to guard against misuse. Leaders and experts, including Schmidt, are advocating for a balanced approach that fosters innovation while addressing these dangers head-on.

While international cooperation remains a complex and contentious issue, the overarching consensus is clear: without safeguards, AI’s evolution could have unintended – and potentially catastrophic – consequences.

(Photo by Guillaume Paumier under CC BY 3.0 license. Cropped to landscape from original version.)

See also: NEPC: AI sprint risks environmental catastrophe

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[govindhtech]

Dell AI PCs: A Gateway To AI For Life Sciences Organizations

AI in the Life Sciences: A Useful Method Using Computers.

For life sciences companies wishing to experiment with AI before making a full commitment, Dell AI PCs are perfect. The Dell AI PCs are revolutionary way to get started in the vast field of artificial intelligence, particularly for clients in the life sciences who are searching for a cost-effective way to create intricate processes.

The Dell AI PCs, GPU-enhanced servers, and cutting-edge storage solutions are essential to the AI revolution. If you approach the process strategically, it may be surprisingly easy to begin your AI journey.

Navigating the Unmarked Path of AI Transformation

The lack of a clear path is both an exciting and difficult part of the AI transition in the medical sciences. As it learn more about the actual effects of generative and extractive AI models on crucial domains like drug development, clinical trials, and industrial processes, the discipline continues to realize its enormous promise.

It is evident from discussions with both up-and-coming entrepreneurs and seasoned industry titans in the global life sciences sector that there are a variety of approaches to launching novel treatments, each with a distinct implementation strategy.

A well-thought-out AI strategy may help any firm, especially if it prioritizes improving operational efficiency, addressing regulatory expectations from organizations like the FDA and EMA, and speeding up discovery.

Cataloguing possible use cases and setting clear priorities are usually the initial steps. But according to a client, after just two months of appointing a new head of AI, they were confronted with more than 200 “prioritized” use cases.

When the CFO always inquires about the return on investment (ROI) for each one, this poses a serious problem. The answer must show observable increases in operational effectiveness, distinct income streams, or improved compliance clarity. A pragmatic strategy to evaluating AI models and confirming their worth is necessary for large-scale AI deployment in order to guarantee that the investment produces quantifiable returns.

The Dell AI PC: Your Strategic Advantage

Presenting the Dell AI PCs, the perfect option for businesses wishing to experiment with AI before committing to hundreds of use cases. AI PCs and robust open-source software allow resources in any department to investigate and improve use cases without incurring large costs.

Each possible AI project is made clearer by beginning with a limited number of Dell AI PCs and allocating skilled resources to these endeavors. Trials on smaller datasets provide a low-risk introduction to the field of artificial intelligence and aid in the prediction of possible results. This method guarantees that investments are focused on the most promising paths while also offering insightful information about what works.

Building a Sustainable AI Framework

Internally classifying and prioritizing use cases is essential when starting this AI journey. Pay close attention to data kinds, availability, preferences for production vs consumption, and choices for the sale or retention of results. Although the process may be started by IT departments, using IT-savvy individuals from other departments to develop AI models may be very helpful since they have personal experience with the difficulties and data complexities involved.

As a team, it is possible to rapidly discover areas worth more effort by regularly assessing and prioritizing use case development, turning conjecture into assurance. The team can now confidently deliver data-driven findings that demonstrate the observable advantages of your AI activities when the CFO asks about ROI.

The Rational Path to AI Investment

Investing in AI is essential, but these choices should be based on location, cost, and the final outcomes of your research. Organizations may make logical decisions about data center or hyperscaler hosting, resource allocation, and data ownership by using AI PCs for early development.

This goes beyond only being a theoretical framework. This strategy works, as shown by Northwestern Medicine’s organic success story. It have effectively used AI technology to improve patient care and expedite intricate operations, illustrating the practical advantages of using AI strategically.

Read more on Govindhtech.com