#emotion AI

[harshitasinghthakur]

Unlocking the Power of Emotion AI: Bridging the Gap Between Technology and Human Emotions

In a global that turns into increasingly more technologically superior, there's one place where era has usually struggled to keep up with human beings – know-how emotions. Emotions are an imperative a part of our each day lives, influencing our choices, actions, and interactions. For years, researchers and builders had been striving to create synthetic intelligence that could understand and reply to human emotions. This quest has given delivery to "Emotion AI," an exciting discipline that pursuits to bridge the distance among generation and human emotions. In this weblog, we're going to explore the concept of Emotion AI, its ability packages, and the moral issues it raises.

[precallai]

Inside the AI Based Contact Center with Tools Tech and Trends

Introduction

The evolution of customer service has entered a new era with the rise of the AI based contact center. No longer just a support line, today’s contact centers are intelligent, data-driven hubs that utilize artificial intelligence to deliver personalized, efficient, and scalable customer interactions. As businesses race to stay ahead of the curve, understanding the essential tools, technologies, and emerging trends that power AI-driven contact centers becomes crucial. This article explores how AI is transforming contact centers and what lies ahead for this innovative landscape.

The Rise of the AI Based Contact Center

Traditional contact centers, though essential, have long suffered from inefficiencies such as long wait times, inconsistent service, and high operational costs. AI-based contact centers are solving these issues by automating routine tasks, predicting customer needs, and delivering omnichannel support.

AI technology, such as machine learning, natural language processing (NLP), and robotic process automation (RPA), is now integrated into contact center platforms to enhance agent productivity and customer satisfaction.

Essential Tools Driving AI Based Contact Centers

1. AI-Powered Chatbots and Virtual Agents

Chatbots are the most visible AI tool in contact centers. These virtual assistants handle customer queries instantly and are available 24/7. Advanced bots can handle complex conversations using NLP and deep learning, reducing human intervention for repetitive inquiries.

2. Intelligent Interactive Voice Response (IVR) Systems

Modern IVR systems use voice recognition and AI to route calls more accurately. Unlike traditional menu-based IVRs, intelligent IVRs can interpret natural language, making customer interactions smoother and faster.

3. Speech Analytics Tools

AI-driven speech analytics tools analyze live or recorded conversations in real time. They extract keywords, sentiments, and emotional cues, offering insights into customer satisfaction, agent performance, and compliance issues.

4. Workforce Optimization (WFO) Platforms

AI helps optimize staffing through forecasting and scheduling tools that predict call volumes and agent availability. These platforms improve efficiency and reduce costs by aligning workforce resources with demand.

5. CRM Integration and Predictive Analytics

By integrating AI with CRM systems, contact centers gain predictive capabilities. AI analyzes customer data to forecast needs, recommend next-best actions, and personalize interactions, leading to higher engagement and retention.

Core Technologies Enabling AI Based Contact Centers

1. Natural Language Processing (NLP)

NLP allows machines to understand, interpret, and respond in human language. This is the backbone of AI-based communication, enabling features like voice recognition, sentiment detection, and conversational AI.

2. Machine Learning and Deep Learning

These technologies enable AI systems to learn from past interactions and improve over time. They are used to personalize customer interactions, detect fraud, and optimize call routing.

3. Cloud Computing

Cloud platforms provide the infrastructure for scalability and flexibility. AI contact centers hosted in the cloud offer remote access, fast deployment, and seamless integration with third-party applications.

4. Robotic Process Automation (RPA)

RPA automates repetitive tasks such as data entry, ticket generation, and follow-ups. This frees up human agents to focus on more complex customer issues, improving efficiency.

Emerging Trends in AI Based Contact Centers

1. Hyper-Personalization

AI is pushing personalization to new heights by leveraging real-time data, purchase history, and browsing behavior. Contact centers can now offer customized solutions and product recommendations during live interactions.

2. Omnichannel AI Integration

Customers expect consistent service across channels—phone, email, chat, social media, and more. AI tools unify customer data across platforms, enabling seamless, context-aware conversations.

3. Emotion AI and Sentiment Analysis

Emotion AI goes beyond words to analyze voice tone, pace, and volume to determine a caller's emotional state. This data helps agents adapt their responses or triggers escalations when needed.

4. Agent Assist Tools

AI now works hand-in-hand with human agents by suggesting responses, summarizing calls, and providing real-time knowledge base access. These agent assist tools enhance productivity and reduce training time.

5. AI Ethics and Transparency

As AI becomes more prevalent, companies are increasingly focused on responsible AI usage. Transparency in how decisions are made, data privacy, and eliminating bias are emerging priorities for AI implementation.

Benefits of Adopting an AI Based Contact Center

Businesses that adopt AI-based contact centers experience a variety of benefits:

Improved Customer Satisfaction: Faster, more accurate responses enhance the overall experience.

Cost Reduction: Automation reduces reliance on large human teams for repetitive tasks.

Increased Scalability: AI can handle spikes in volume without compromising service quality.

Better Insights: Data analytics uncover trends and customer behaviors for better strategy.

Challenges in AI Based Contact Center Implementation

Despite the advantages, there are challenges to be aware of:

High Initial Investment: Setting up AI tools can be capital intensive.

Integration Complexities: Integrating AI with legacy systems may require customization.

Change Management: Staff may resist AI adoption due to fear of replacement or complexity.

Data Security and Compliance: AI systems must adhere to data protection regulations like GDPR or HIPAA.

Future Outlook of AI Based Contact Centers

The future of AI-based contact centers is promising. As technology matures, we can expect deeper personalization, more intuitive bots, and stronger collaboration between human agents and AI. Voice AI will become more empathetic and context-aware, while backend analytics will drive strategic decision-making.

By 2030, many experts predict that AI will handle the majority of customer interactions, with human agents stepping in only for high-level concerns. This hybrid model will redefine efficiency and service quality in the contact center industry.

Conclusion

The AI based contact center is transforming how businesses interact with customers. With powerful tools, cutting-edge technologies, and evolving trends, organizations are reimagining the contact center as a strategic asset rather than a cost center. By investing in AI, companies can enhance customer experiences, improve operational efficiency, and stay competitive in an increasingly digital marketplace. The time to explore and adopt AI contact center solutions is now—because the future of customer support is already here.

[jespper-enablex]

Supporting Caregivers: How Emotion AI Benefits Healthcare Providers 

In recent years, the healthcare industry has seen significant advancements in technology, with Emotion AI emerging as a game-changer. Emotion AI, also known as affective computing, is the branch of artificial intelligence that deals with the recognition, interpretation, and response to human emotions. This technology has immense potential to support healthcare providers in delivering better patient care, enhancing communication, and improving overall healthcare outcomes. 

Understanding Emotion AI 

Emotion AI utilizes algorithms and machine learning techniques to analyze data from various sources, including facial expressions, voice tone, body language, and physiological signals. By interpreting these signals, Emotion AI can identify and understand human emotions, enabling it to respond appropriately. 

The Role of Emotion AI in Healthcare 

Enhanced Patient-Caregiver Interaction: Emotion AI can significantly improve the interaction between patients and healthcare providers. By analyzing patients' emotional states, caregivers can tailor their communication and approach to better meet the patients' needs. For instance, a patient who appears anxious or stressed can receive more reassurance and empathy from their caregiver. 

Mental Health Monitoring: Emotion AI is particularly beneficial in mental health care. It can monitor patients' emotional well-being over time, providing valuable insights into their mental Health status. This continuous monitoring can help detect early signs of mental health issues, enabling timely interventions and personalized treatment plans. 

Pain Management: Emotion AI can assist in assessing and managing pain levels in patients. By analyzing facial expressions and physiological signals, it can provide an objective measure of pain intensity. This information helps healthcare providers adjust pain management strategies more effectively, ensuring patients receive the appropriate level of care. 

Personalized Treatment Plans: Emotion AI can contribute to the development of personalized treatment plans. By understanding patients' emotional responses to different treatments, healthcare providers can optimize their approaches. This customization enhances patient satisfaction and treatment adherence, ultimately leading to better health outcomes. 

Caregiver Support and Burnout Prevention: Emotion AI not only benefits patients but also supports caregivers. The demands of caregiving can be physically and emotionally taxing, leading to burnout. Emotion AI can monitor caregivers' emotional states and provide insights to healthcare organizations, enabling them to implement measures to prevent burnout and Support caregiver well-being. 

Real-World Applications of Emotion AI in Healthcare 

Telemedicine and Virtual Consultations: With the rise of telemedicine, Emotion AI plays a crucial role in virtual consultations. By analyzing patients' emotions during video calls, healthcare providers can gauge their emotional states and provide appropriate support. This ensures that the quality of care remains high even in remote settings. 

Hospitals and Clinics: In traditional healthcare settings, Emotion AI can be integrated into patient monitoring systems. It can analyze real-time data from cameras and sensors to detect emotional distress or discomfort in patients. This information can trigger alerts to healthcare providers, allowing them to intervene promptly. 

Mental Health Apps: Numerous mental health apps are incorporating Emotion AI to provide personalized support. These apps analyze users' emotional states through their interactions, offering tailored recommendations and interventions. For example, an app might suggest relaxation exercises or mindfulness practices based on the user's current emotional state. 

Elderly Care: Emotion AI is particularly valuable in elderly care settings. It can monitor the emotional well-being of elderly individuals, many of whom may have difficulty expressing their emotions verbally. By recognizing signs of depression, anxiety, or loneliness, caregivers can provide timely and appropriate support. 

Challenges and Considerations 

While Emotion AI holds great promise, there are challenges and considerations to address: 

Privacy and Security: The use of Emotion AI involves collecting and analyzing sensitive data. Ensuring the privacy and security of this data is paramount. Healthcare organizations must implement robust measures to protect patients' and caregivers' information. 

Accuracy and Bias: Emotion AI systems must be accurate and free from bias. Inaccurate or biased interpretations of emotions can lead to inappropriate responses and affect the quality of care. Continuous training and validation of AI models are essential to maintain accuracy. 

Ethical Concerns: The ethical implications of using Emotion AI in healthcare must be carefully considered. Healthcare providers must ensure that the technology is used in a way that respects patients' autonomy and dignity. Clear guidelines and regulations are necessary to govern the ethical use of Emotion AI. 

FAQs 

Q1: What is Emotion AI?  A1: Emotion AI, or affective computing, is a branch of artificial intelligence that focuses on recognizing, interpreting, and responding to human emotions using algorithms and machine learning techniques. 

Q2: How can Emotion AI improve patient care?  A2: Emotion AI can enhance patient care by analyzing patients' emotional states and allowing healthcare providers to tailor their communication and treatment approaches accordingly. This leads to more personalized and empathetic care. 

Q3: Is Emotion AI useful in mental health care?  A3: Yes, Emotion AI is particularly beneficial in mental health care. It can continuously monitor patients' emotional well-being, detect early signs of mental health issues, and support the development of personalized treatment plans. 

Q4: What are the challenges of using Emotion AI in healthcare?  A4: Challenges include ensuring the privacy and security of sensitive data, maintaining the accuracy and fairness of AI models, and addressing ethical concerns related to the use of Emotion AI. 

Q5: Can Enablex Emotion AI help prevent caregiver burnout?  A5: Yes, Enablex Emotion AI can monitor caregivers' emotional states and provide insights to healthcare organizations, enabling them to implement measures to prevent burnout and support caregiver well-being. 

Conclusion 

Emotion AI has the potential to revolutionize healthcare by enhancing patient care, supporting caregivers, and improving overall healthcare outcomes. Its ability to understand and respond to human emotions opens up new possibilities for personalized treatment, mental health monitoring, and effective communication. However, it is crucial to address challenges related to privacy, accuracy, and ethics to ensure the responsible and beneficial use of this technology in healthcare.

[tinylovetoo]

Symbol of Calm

[ict-123]

According to the report, the Emotion AI industry generated $1.8 billion in 2022, and is projected to reach $13.8 billion by 2032, witnessing a CAGR of 22.7% from 2023 to 2032.

[gojoest]

the second you tell satoru you’re pregnant, he vanishes — like, literally teleport-level gone — and reappears hours later with bags. so many bags. you’re pretty sure he cleared out an entire mall. he crashes into the bedroom like a tornado, tossing baby clothes in the air like it’s confetti, yelling “LOOK HOW TINY THIS IS!” every five seconds.

he’s cutting tags with his teeth, trying to fold onesies that end up looking like abstract art, and humming this completely off-key, made-up song about being “papa gojo, coolest dad in the world!” he’s glowing. absolutely unhinged. but glowing.

but then — then — there’s this tiny shift in him. he’s folding a soft little sleeper set, lips still curled in a smile, but his hands move a little slower. more gentle. he runs a thumb across the tiny little sleeve like he’s imagining holding someone impossibly small. his voice drops to a soft hum, and the ridiculous song fades into something quieter. warmer.

“i can’t believe there’s going to be a whole person… half me, half you. that’s wild”, he says, like it’s finally sinking in. his lips quiver slightly, his eyes soft.

you sit next to him, nudging him on the arm. “our baby will have the most extra dad on the planet”

“well of course”, he grins, his eyes glassy now. “i’m going to be so annoying. they’re going to roll their eyes every time i show up to school wearing sunglasses and a #1 dad’s shirt”

you smirk. “you mean you’re not already planning matching outfits?”

“oh i already ordered them”, he says proudly. “we’re going to slay preschool drop-off”

you laugh, but you also reach out and lace your fingers with his, both of you surrounded by little shoes, tiny clothes, toys, pacifiers, and a whole lot of love wrapped in absolute chaos.

[mostlysignssomeportents]

Bossware is unfair (in the legal sense, too)

You can get into a lot of trouble by assuming that rich people know what they're doing. For example, might assume that ad-tech works – bypassing peoples' critical faculties, reaching inside their minds and brainwashing them with Big Data insights, because if that's not what's happening, then why would rich people pour billions into those ads?

https://pluralistic.net/2020/12/06/surveillance-tulip-bulbs/#adtech-bubble

You might assume that private equity looters make their investors rich, because otherwise, why would rich people hand over trillions for them to play with?

https://thenextrecession.wordpress.com/2024/11/19/private-equity-vampire-capital/

The truth is, rich people are suckers like the rest of us. If anything, succeeding once or twice makes you an even bigger mark, with a sense of your own infallibility that inflates to fill the bubble your yes-men seal you inside of.

Rich people fall for scams just like you and me. Anyone can be a mark. I was:

https://pluralistic.net/2024/02/05/cyber-dunning-kruger/#swiss-cheese-security

But though rich people can fall for scams the same way you and I do, the way those scams play out is very different when the marks are wealthy. As Keynes had it, "The market can remain irrational longer than you can remain solvent." When the marks are rich (or worse, super-rich), they can be played for much longer before they go bust, creating the appearance of solidity.

Noted Keynesian John Kenneth Galbraith had his own thoughts on this. Galbraith coined the term "bezzle" to describe "the magic interval when a confidence trickster knows he has the money he has appropriated but the victim does not yet understand that he has lost it." In that magic interval, everyone feels better off: the mark thinks he's up, and the con artist knows he's up.

Rich marks have looong bezzles. Empirically incorrect ideas grounded in the most outrageous superstition and junk science can take over whole sections of your life, simply because a rich person – or rich people – are convinced that they're good for you.

Take "scientific management." In the early 20th century, the con artist Frederick Taylor convinced rich industrialists that he could increase their workers' productivity through a kind of caliper-and-stopwatch driven choreographry:

https://pluralistic.net/2022/08/21/great-taylors-ghost/#solidarity-or-bust

Taylor and his army of labcoated sadists perched at the elbows of factory workers (whom Taylor referred to as "stupid," "mentally sluggish," and as "an ox") and scripted their motions to a fare-the-well, transforming their work into a kind of kabuki of obedience. They weren't more efficient, but they looked smart, like obedient robots, and this made their bosses happy. The bosses shelled out fortunes for Taylor's services, even though the workers who followed his prescriptions were less efficient and generated fewer profits. Bosses were so dazzled by the spectacle of a factory floor of crisply moving people interfacing with crisply working machines that they failed to understand that they were losing money on the whole business.

To the extent they noticed that their revenues were declining after implementing Taylorism, they assumed that this was because they needed more scientific management. Taylor had a sweet con: the worse his advice performed, the more reasons their were to pay him for more advice.

Taylorism is a perfect con to run on the wealthy and powerful. It feeds into their prejudice and mistrust of their workers, and into their misplaced confidence in their own ability to understand their workers' jobs better than their workers do. There's always a long dollar to be made playing the "scientific management" con.

Today, there's an app for that. "Bossware" is a class of technology that monitors and disciplines workers, and it was supercharged by the pandemic and the rise of work-from-home. Combine bossware with work-from-home and your boss gets to control your life even when in your own place – "work from home" becomes "live at work":

https://pluralistic.net/2021/02/24/gwb-rumsfeld-monsters/#bossware

Gig workers are at the white-hot center of bossware. Gig work promises "be your own boss," but bossware puts a Taylorist caliper wielder into your phone, monitoring and disciplining you as you drive your wn car around delivering parcels or picking up passengers.

In automation terms, a worker hitched to an app this way is a "reverse centaur." Automation theorists call a human augmented by a machine a "centaur" – a human head supported by a machine's tireless and strong body. A "reverse centaur" is a machine augmented by a human – like the Amazon delivery driver whose app goads them to make inhuman delivery quotas while punishing them for looking in the "wrong" direction or even singing along with the radio:

https://pluralistic.net/2024/08/02/despotism-on-demand/#virtual-whips

Bossware pre-dates the current AI bubble, but AI mania has supercharged it. AI pumpers insist that AI can do things it positively cannot do – rolling out an "autonomous robot" that turns out to be a guy in a robot suit, say – and rich people are groomed to buy the services of "AI-powered" bossware:

https://pluralistic.net/2024/01/29/pay-no-attention/#to-the-little-man-behind-the-curtain

For an AI scammer like Elon Musk or Sam Altman, the fact that an AI can't do your job is irrelevant. From a business perspective, the only thing that matters is whether a salesperson can convince your boss that an AI can do your job – whether or not that's true:

https://pluralistic.net/2024/07/25/accountability-sinks/#work-harder-not-smarter

The fact that AI can't do your job, but that your boss can be convinced to fire you and replace you with the AI that can't do your job, is the central fact of the 21st century labor market. AI has created a world of "algorithmic management" where humans are demoted to reverse centaurs, monitored and bossed about by an app.

The techbro's overwhelming conceit is that nothing is a crime, so long as you do it with an app. Just as fintech is designed to be a bank that's exempt from banking regulations, the gig economy is meant to be a workplace that's exempt from labor law. But this wheeze is transparent, and easily pierced by enforcers, so long as those enforcers want to do their jobs. One such enforcer is Alvaro Bedoya, an FTC commissioner with a keen interest in antitrust's relationship to labor protection.

Bedoya understands that antitrust has a checkered history when it comes to labor. As he's written, the history of antitrust is a series of incidents in which Congress revised the law to make it clear that forming a union was not the same thing as forming a cartel, only to be ignored by boss-friendly judges:

https://pluralistic.net/2023/04/14/aiming-at-dollars/#not-men

Bedoya is no mere historian. He's an FTC Commissioner, one of the most powerful regulators in the world, and he's profoundly interested in using that power to help workers, especially gig workers, whose misery starts with systemic, wide-scale misclassification as contractors:

https://pluralistic.net/2024/02/02/upward-redistribution/

In a new speech to NYU's Wagner School of Public Service, Bedoya argues that the FTC's existing authority allows it to crack down on algorithmic management – that is, algorithmic management is illegal, even if you break the law with an app:

https://www.ftc.gov/system/files/ftc_gov/pdf/bedoya-remarks-unfairness-in-workplace-surveillance-and-automated-management.pdf

Bedoya starts with a delightful analogy to The Hawtch-Hawtch, a mythical town from a Dr Seuss poem. The Hawtch-Hawtch economy is based on beekeeping, and the Hawtchers develop an overwhelming obsession with their bee's laziness, and determine to wring more work (and more honey) out of him. So they appoint a "bee-watcher." But the bee doesn't produce any more honey, which leads the Hawtchers to suspect their bee-watcher might be sleeping on the job, so they hire a bee-watcher-watcher. When that doesn't work, they hire a bee-watcher-watcher-watcher, and so on and on.

For gig workers, it's bee-watchers all the way down. Call center workers are subjected to "AI" video monitoring, and "AI" voice monitoring that purports to measure their empathy. Another AI times their calls. Two more AIs analyze the "sentiment" of the calls and the success of workers in meeting arbitrary metrics. On average, a call-center worker is subjected to five forms of bossware, which stand at their shoulders, marking them down and brooking no debate.

For example, when an experienced call center operator fielded a call from a customer with a flooded house who wanted to know why no one from her boss's repair plan system had come out to address the flooding, the operator was punished by the AI for failing to try to sell the customer a repair plan. There was no way for the operator to protest that the customer had a repair plan already, and had called to complain about it.

Workers report being sickened by this kind of surveillance, literally – stressed to the point of nausea and insomnia. Ironically, one of the most pervasive sources of automation-driven sickness are the "AI wellness" apps that bosses are sold by AI hucksters:

https://pluralistic.net/2024/03/15/wellness-taylorism/#sick-of-spying

The FTC has broad authority to block "unfair trade practices," and Bedoya builds the case that this is an unfair trade practice. Proving an unfair trade practice is a three-part test: a practice is unfair if it causes "substantial injury," can't be "reasonably avoided," and isn't outweighed by a "countervailing benefit." In his speech, Bedoya makes the case that algorithmic management satisfies all three steps and is thus illegal.

On the question of "substantial injury," Bedoya describes the workday of warehouse workers working for ecommerce sites. He describes one worker who is monitored by an AI that requires him to pick and drop an object off a moving belt every 10 seconds, for ten hours per day. The worker's performance is tracked by a leaderboard, and supervisors punish and scold workers who don't make quota, and the algorithm auto-fires if you fail to meet it.

Under those conditions, it was only a matter of time until the worker experienced injuries to two of his discs and was permanently disabled, with the company being found 100% responsible for this injury. OSHA found a "direct connection" between the algorithm and the injury. No wonder warehouses sport vending machines that sell painkillers rather than sodas. It's clear that algorithmic management leads to "substantial injury."

What about "reasonably avoidable?" Can workers avoid the harms of algorithmic management? Bedoya describes the experience of NYC rideshare drivers who attended a round-table with him. The drivers describe logging tens of thousands of successful rides for the apps they work for, on promise of "being their own boss." But then the apps start randomly suspending them, telling them they aren't eligible to book a ride for hours at a time, sending them across town to serve an underserved area and still suspending them. Drivers who stop for coffee or a pee are locked out of the apps for hours as punishment, and so drive 12-hour shifts without a single break, in hopes of pleasing the inscrutable, high-handed app.

All this, as drivers' pay is falling and their credit card debts are mounting. No one will explain to drivers how their pay is determined, though the legal scholar Veena Dubal's work on "algorithmic wage discrimination" reveals that rideshare apps temporarily increase the pay of drivers who refuse rides, only to lower it again once they're back behind the wheel:

https://pluralistic.net/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men

This is like the pit boss who gives a losing gambler some freebies to lure them back to the table, over and over, until they're broke. No wonder they call this a "casino mechanic." There's only two major rideshare apps, and they both use the same high-handed tactics. For Bedoya, this satisfies the second test for an "unfair practice" – it can't be reasonably avoided. If you drive rideshare, you're trapped by the harmful conduct.

The final prong of the "unfair practice" test is whether the conduct has "countervailing value" that makes up for this harm.

To address this, Bedoya goes back to the call center, where operators' performance is assessed by "Speech Emotion Recognition" algorithms, a psuedoscientific hoax that purports to be able to determine your emotions from your voice. These SERs don't work – for example, they might interpret a customer's laughter as anger. But they fail differently for different kinds of workers: workers with accents – from the American south, or the Philippines – attract more disapprobation from the AI. Half of all call center workers are monitored by SERs, and a quarter of workers have SERs scoring them "constantly."

Bossware AIs also produce transcripts of these workers' calls, but workers with accents find them "riddled with errors." These are consequential errors, since their bosses assess their performance based on the transcripts, and yet another AI produces automated work scores based on them.

In other words, algorithmic management is a procession of bee-watchers, bee-watcher-watchers, and bee-watcher-watcher-watchers, stretching to infinity. It's junk science. It's not producing better call center workers. It's producing arbitrary punishments, often against the best workers in the call center.

There is no "countervailing benefit" to offset the unavoidable substantial injury of life under algorithmic management. In other words, algorithmic management fails all three prongs of the "unfair practice" test, and it's illegal.

What should we do about it? Bedoya builds the case for the FTC acting on workers' behalf under its "unfair practice" authority, but he also points out that the lack of worker privacy is at the root of this hellscape of algorithmic management.

He's right. The last major update Congress made to US privacy law was in 1988, when they banned video-store clerks from telling the newspapers which VHS cassettes you rented. The US is long overdue for a new privacy regime, and workers under algorithmic management are part of a broad coalition that's closer than ever to making that happen:

https://pluralistic.net/2023/12/06/privacy-first/#but-not-just-privacy

Workers should have the right to know which of their data is being collected, who it's being shared by, and how it's being used. We all should have that right. That's what the actors' strike was partly motivated by: actors who were being ordered to wear mocap suits to produce data that could be used to produce a digital double of them, "training their replacement," but the replacement was a deepfake.

With a Trump administration on the horizon, the future of the FTC is in doubt. But the coalition for a new privacy law includes many of Trumpland's most powerful blocs – like Jan 6 rioters whose location was swept up by Google and handed over to the FBI. A strong privacy law would protect their Fourth Amendment rights – but also the rights of BLM protesters who experienced this far more often, and with far worse consequences, than the insurrectionists.

The "we do it with an app, so it's not illegal" ruse is wearing thinner by the day. When you have a boss for an app, your real boss gets an accountability sink, a convenient scapegoat that can be blamed for your misery.

The fact that this makes you worse at your job, that it loses your boss money, is no guarantee that you will be spared. Rich people make great marks, and they can remain irrational longer than you can remain solvent. Markets won't solve this one – but worker power can.

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[drfunkbeat]

aitsf is fun bc it can be incredibly emotionally impactful while also being about the most absurd bullshit ever. like hitomi's monologue about grief after iris is killed made me cry. iris was killed by being sawed in half on livestream by a person wearing a giant polar bear costume. date says he wishes aiba had boobs bigger than her armspan. in the same scene, mizuki has a flashback to when she was 8 and being physically and verbally abused by her mother. the next time you talk to her she's inexplicably lifting a 100kg barbell with ease

[brokky]

[grimark]

again the way breq just takes it as a given that if she packed it all in and fucked off to the itran tetrarchy, never to be heard from again, that obviously seivarden would be coming with her. or whatever. begging your indulgence fleet captain but i think the codependency is coming from inside the house.

[sweetcalebb]

AI Zayne: Feelings?

Even though you're an adult, your dad insists you need an AI "bodyguard." You don't want one though, especially not one that feels so real. But you don't have a say in the matter so now you're stuck with one.

cw: controlling dad, attachment issues, slow-burn (?)

INSPIRED BY: @syluses and their yummy fic!

thank u sm! <3

₊˚ ✧

"I'm not a kid! I don't need a—" Your eyes flick to the thing in the corner. Zayne. Or whatever its name is. He's standing in his charging station, head bowed, eyes shut, looking way too... human. "A creepy babysitter!" you snap.

You pace around the room, your eyes drifting back to him every few seconds like he might activate on his own at any minute. "I'm an adult for God's sake!" you hiss into the phone, knuckles turning white with effort.

"This isn't up for debate," your dad snaps back, his patience wearing thin. You'd had this argument about 5 times already, and you were both getting sick of it.

You sigh, running a tired hand through your hair. You glance at Zayne for the twentieth time. He's still motionless. You're not sure what you expected, but something about him—or it—is unnerving.

You want to argue back. Want to tell your dad you won't put up with some operating system disguised as a human following you around, but the argument dies in your throat.

Because you know your dad.

And you know there's no winning.

"It says he's off," he finally says, his words calm, but laced with an undeniable edge of frustration. "Turn him back on."

You bite your lip, heat rushing to your cheeks. Who the hell did he think he was? Telling you what to do? Assigning someone—something—to dote on you? To strip you of your privacy under the guise of safety? It was bullshit.

But you don't say that.

You simply scoff into the phone. "Fine."

You hang up and immediately toss your phone on the couch harder than you mean to. It bounces off the cushions and lands on the floor with a loud thud, but you don't even bother to pick it up.

You pace the room instead, muttering silent curses and tugging at your hair.

Your dad was unbelievable!

He just—

He was always—

You pause, taking a stuttering breath. You need to stop thinking about him. Just.. do literally anything else.

You pad over to Zayne, your arms crossed, your brows knit together, and your breath uneven. You reach toward him, pressing the button behind his ear, and step back when his eyes blink open.

He takes a moment. Blinks again, then focuses on you.

He's silent for a second before saying, "Good evening."

You don't say anything, just stare.

For a moment, you almost feel bad. Zayne just looks so human, and you're here, ignoring his attempt at polite conversation. Then you remember he's only an operating system. Then you don't feel bad. Just mad all over again.

Zayne blinks again. "Your heart rate is elevated."

Your brows pinch closer.

What the fuck? Was he doing bio scans on you now?

"Are you experiencing stress?

"Don't do that," you huff.

"Don't do what?"

"Don't.." You pause, taking a small step back. "Don't scan me."

"My job is to protect you. I have to sc—"

"Stop it," you snap, your voice rising with frustration. You're not mad at him. Not entirely. But he's the only one you can take your anger out on right now. "Just don't."

There's a beat of silence before Zayne nods. "Okay. I won't scan you anymore."

You bite the inside of your cheek.

Thanks, Dad.

—

The next weeks blur past. You can't tell where one day ends and the next one starts. All you know is Zayne won't leave you alone. It doesn't matter where you go, he's always a few steps behind. Quiet, yet always right there.

It makes you want to scream. At nothing, at him, at your father for giving you this thing that can't seem to give you a second of peace.

You did once.

You just got sick of hearing his heavy footsteps behind you every second of the day, so you snapped back around and began yelling at him to stop following you like you were some glass doll.

He didn't even flinch. Just stared at you, then nodded and said, "I'll keep my distance from now on."

He didn't stop following you completely. He always lingered nearby—at a safe distance.

Still, you hadn't yelled at him since. You thought it would've made you feel better, but it only made you feel worse. Like you were screaming at a pet that didn't understand what they did wrong.

Instead, you were nicer.

Just a little nicer.

…Then a lot nicer.

Suddenly, his presence didn't bother you as much. No, you'd sit near him instead of across the room like you did the first few weeks with him.

Suddenly, you were making offhand comments about whatever you were reading for the pure sake of starting conversations.

And Zayne seemed to follow the same sentiment. You weren't sure you could call it that, but it felt like it. He started bringing you tea without asking. Started noticing things you weren't sure he was programmed to notice, like your haircut or your new clothes.

It was unsettling and comforting all at once.

And now you're in your room, screeching into the phone. "Maintenance?! Doesn't he have like—I don't know—auto updates? Or.. something?"

"I thought you'd be relieved. You've been stuck with him for a month," your dad says.

You stay silent.

You should be relieved. You were against Zayne from the very start.. but now? Do you really want him gone?

"He's supposed to have maintenance every month. He'll only be gone for a day or two."

Still, you say nothing.

Because who the hell does he think he is?

First, he forces this robotic bodyguard, or babysitter, or—whatever it's supposed to be—on you, then he thinks he can just take it back? What a fucking—

You shut your eyes, bringing your hand up to your face to rub your temple. You're overreacting. You know that. It's not like your dad's taking Zayne away forever.

It's just a day or two.

It's the principle that upsets you. That's what you tell yourself, anyway.

"He's doing just fine," you finally mutter. "He doesn't need maintenance."

Your dad sighs, and you can practically hear him pinching the bridge of his nose. "You don't get to decide that." His voice is smooth, but it's tinged with that controlled edge you know too well. "It's already scheduled."

"Then cancel it."

Your dad scoffs. "Why do you insist on being such a stubborn..—" He doesn't finish his sentence. Just lets out a low rumble. "I'm not canceling it. Why are you fighting me on this, of all things?"

He waits, then slowly adds, "Are you attached to it?"

Your breath hitches at his question.

"No," you mutter. "I'm not attached."

"Then what's the issue?"

"There's no issue."

"Then stop fighting this."

You groan. It was always the same thing with your dad. You were sick of him making choices for you.

"No. You can't just take him."

"Are you just arguing for the sake of arguing? When will you learn to—"

"He's mine."

It slips out before you can stop it.

And the world stills for just a second when the words finally register.

He’s mine.

It's childish. So embarrassingly childish, and you know your dad is on the other line with his brows furrowed and his mouth open.

"He's yours?" He echoes. It's silent for a second, then he laughs. The mocking sound grates on your nerves. "If you're this upset over it, then maybe the AI's gotten too close. Should I report it?"

You have to stop yourself from blurting out 'no' too quickly. You remind yourself to rein it in before speaking.

"It's not like that," you huff. "I just don't like you deciding things and then telling me at the last minute."

Your dad sighs. "Because if I asked, you'd argue. Like you're doing right now."

"But you can't just—"

"It's getting maintenance tomorrow. That's final."

"You don't get to just—to just decide that! He’s with me all the time—I should be the one to say when he gets maintenance!"

Your chest heaves with your angry breaths as you wait for your dad to argue back—because he always does—but it's silent.

Too silent.

"Hello?"

You pull your phone away from your ear to look at the screen, and you scoff. He hung up. That bastard hung up.

"Fuck you!" you yell into the speaker (even though he can't hear it) before slamming your phone down onto the bed with a quiet thud. The sound isn't nearly loud enough, though. So, impulsively, you turn to your nightstand and shove your humidifier off.

Your dad had no right.

No right whatsoever.

You're not attached.

Zayne is just a robot trained to keep you safe. Nothing less, nothing more. And yet you find yourself storming into the living room just to look at him.

You stop in front of him, the tension slowly bleeding out of your shoulders. He's charging, head bent and eyes closed—the way he always looks when he's plugged in.

He's so peaceful like this. So blissfully unaware. It makes you want to slap him because it just isn't fair.

It isn't fair that he doesn't have to feel these feelings. It isn't fair that he doesn't have so much frustration that he thinks he can punch a hole into the wall.

Slowly, you reach out, touching your fingertips to his lashes. The designers made them so long and pretty. Almost like he was made for you to like him. To lure you in. That wasn't fair either.

You stare for a moment longer before your fingers gently slip behind his ear. You want to make yourself believe this is a grudging decision, but you know it's not.

You press the power button, your stomach twisting as you wait for him to blink his eyes open. When he does, you don't even have the chance to say anything before he eyes you—once—then says, "You're upset."

You let out a soft breath through your nose. "I'm fine."

"You always say that when you're not."

You remind yourself he's programmed to be perceptive, but it doesn't stop the little squeeze your heart does.

"What's wrong?"

You shrug. "Nothing."

Zayne looks at you, searching for any shift or twitch that might tell him what happened. You don't give him the chance, though. You're already shuffling over to the couch and sink down.

Zayne follows, still trying to figure out what's bothering you.

"Do you know what maintenance you need?"

Zayne's eyes flicker to the floor. They flash a mechanical blue for a few seconds before they return to their normal hazel-green.

He glances back up.

"Diagnostics say all systems are operating within normal parameters."

Your chest tightens. If Zayne can do a little check-up on himself, why the hell did he need to get sent somewhere else?

Almost like he can read your mind, Zayne adds, "But all AIs under contract are required to report for monthly maintenance unless otherwise overridden.”

You take a small breath.

"Oh."

"You sound worried." His eyes run over your face, filing each expression into a personal folder in the corner of his mind. "Is that what you're upset about? My maintenance?"

You bite your lip, trying to stop the words from spilling out. It's silly, letting yourself get so vulnerable with a damn robot, but you can't help it.

"What happens if something goes wrong during maintenance? Do you even know?" you blurt out.

The minute you say it, Zayne's expression softens like he's finally put it together. "..You're worried about.. me."

You tear your eyes away.

It's not like he can judge you, but you still feel the need to avoid his gaze. "Just tell me what can go wrong."

He waits a beat, then softly— "No."

You snap your head back up, your brows furrowed. "What—? Zayne. Tell me."

"I think it's best I don't."

"Zayne—"

"It's highly unlikely anything will go wrong."

You huff, your lips curling with a frown. "What if you come back differently? Like.." You know you should shut up, but you don't. "Like, what if you start talking differently? Or don't remember who I am?"

"I'll remember you," he says, his voice lowering just a fraction. "I promise."

Your heart stutters.

"You're not just saying that?"

"No." Zayne takes a step closer, his gaze darting down to your hand like he's thinking about comforting you. Of holding it with his own.

Or maybe you’re imagining it.

Because he doesn't.

"I'll recite everything I know about you when I get back." His words are confident. Final.

You let out a soft breath. "Okay then." You stand back up, walking him back to his charging station. He hesitates for a second, something like sympathy passing through his eyes before he finally steps in.

"You'll recite everything when you're back?" you ask, standing in front of him, your fingers hovering over the button behind his ear.

He nods. "I'll recite everything."

Your chest feels tight. You want to believe him, but there's a part of you that's still doubting. It's why you don't press the button. Why you just let your fingers linger there, palm pressed against his jaw.

When you still don't say anything, Zayne reaches up and gently wraps his hand around your wrist. It almost feels like he's going to lean into your touch, but instead he just gives your wrist a light squeeze.

"You don't have anything to worry about."

"Okay."

You scan his face, like you're trying to memorize it in case they make any changes to his face. Maybe you are. Then, against your better judgment, you lean in and press your lips to his cheek.

It's warm. Soft. Like yours. It feels real enough to let your lips linger a second longer than you mean to before pulling back.

Zayne's forehead creases—something you didn't even know he could do—as he watches you lean back. His gaze darts down to your lips, up to your eyes, then back down again.

"Goodnight, Zayne," you murmur.

He hesitates. "..Goodnight."

And then you're powering him down.

—

Your dad said it would only take one to two days to do maintenance, but it actually took three.

Three whole days.

The minute his men bring Zayne back, you shoo them away to inspect him yourself.

You stand in front of Zayne, raking your eyes over every feature until you're certain they're the same. But you feel like something else is wrong.

Like they messed up. Fucked up his coding or whatever the hell is that makes Zayne Zayne.

That makes him.. yours.

You fumble with his power button and bite your nails as you wait for him to power on. You think it takes him a second longer to turn on, and it makes your stomach churn.

Even when he blinks his eyes open, you feel something isn't right still.

You can't help it. Quickly, you blurt out, "What's my favorite color?"

Zayne looks at you, but he doesn't answer. Just roves his eyes over your face like he's discovering it for the first time, and then you feel it.

Panic.

They fucked up.

For a moment you're quiet. Then it hits you. Dread, anger, and hurt all at once.

You groan as you spin around; you can't bear to look at Zayne like this.

"I told him to cancel it. But he didn't listen! No, he wanted to fucking—" You breathe in sharply. "He wanted to be an asshole!"

Your voice rises and falls with every syllable, chest heaving with angry breaths. You're so frantic, you don't even realize Zayne has stepped out of his charging station.

"I'm going to—to—"

Realistically, what would you do? What could you possibly do? It's a ridiculous notion because really, you can't do anything. Your dad is untouchable.

Because of course he is. Stupid, fucking—

Suddenly, you feel a hand on your shoulder. It's comforting. Heavy. You slowly turn around, your frustration melting away the minute you look at Zayne again. He looks so calm. So… Zayne.

He slowly drops his hand to his side.

"Zayne?" you murmur softly.

There's a small silence before he speaks.

"You kissed me."

Your eyes go wide, heat rushing to your cheeks.

"I wasn't programmed to respond to affection… But… I.." His eyes drift down to your lips. "I liked it. And I wasn't supposed to."

[fisherrprince]

Instead of writing a fanfic like a normal person this oneshot turned into two separate, contextless things,

[pink-yuri]

♡ Crossplay Love: Otaku x Punk ♡