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mariacallous · 7 months ago

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If Donald Trump wins the US presidential election in November, the guardrails could come off of artificial intelligence development, even as the dangers of defective AI models grow increasingly serious.

Trump’s election to a second term would dramatically reshape—and possibly cripple—efforts to protect Americans from the many dangers of poorly designed artificial intelligence, including misinformation, discrimination, and the poisoning of algorithms used in technology like autonomous vehicles.

The federal government has begun overseeing and advising AI companies under an executive order that President Joe Biden issued in October 2023. But Trump has vowed to repeal that order, with the Republican Party platform saying it “hinders AI innovation” and “imposes Radical Leftwing ideas” on AI development.

Trump’s promise has thrilled critics of the executive order who see it as illegal, dangerous, and an impediment to America’s digital arms race with China. Those critics include many of Trump’s closest allies, from X CEO Elon Musk and venture capitalist Marc Andreessen to Republican members of Congress and nearly two dozen GOP state attorneys general. Trump’s running mate, Ohio senator JD Vance, is staunchly opposed to AI regulation.

“Republicans don't want to rush to overregulate this industry,” says Jacob Helberg, a tech executive and AI enthusiast who has been dubbed “Silicon Valley’s Trump whisperer.”

But tech and cyber experts warn that eliminating the EO’s safety and security provisions would undermine the trustworthiness of AI models that are increasingly creeping into all aspects of American life, from transportation and medicine to employment and surveillance.

The upcoming presidential election, in other words, could help determine whether AI becomes an unparalleled tool of productivity or an uncontrollable agent of chaos.

Oversight and Advice, Hand in Hand

Biden’s order addresses everything from using AI to improve veterans’ health care to setting safeguards for AI’s use in drug discovery. But most of the political controversy over the EO stems from two provisions in the section dealing with digital security risks and real-world safety impacts.

One provision requires owners of powerful AI models to report to the government about how they’re training the models and protecting them from tampering and theft, including by providing the results of “red-team tests” designed to find vulnerabilities in AI systems by simulating attacks. The other provision directs the Commerce Department’s National Institute of Standards and Technology (NIST) to produce guidance that helps companies develop AI models that are safe from cyberattacks and free of biases.

Work on these projects is well underway. The government has proposed quarterly reporting requirements for AI developers, and NIST has released AI guidance documents on risk management, secure software development, synthetic content watermarking, and preventing model abuse, in addition to launching multiple initiatives to promote model testing.

Supporters of these efforts say they’re essential to maintaining basic government oversight of the rapidly expanding AI industry and nudging developers toward better security. But to conservative critics, the reporting requirement is illegal government overreach that will crush AI innovation and expose developers’ trade secrets, while the NIST guidance is a liberal ploy to infect AI with far-left notions about disinformation and bias that amount to censorship of conservative speech.

At a rally in Cedar Rapids, Iowa, last December, Trump took aim at Biden’s EO after alleging without evidence that the Biden administration had already used AI for nefarious purposes.

“When I’m reelected,” he said, “I will cancel Biden’s artificial intelligence executive order and ban the use of AI to censor the speech of American citizens on Day One.”

Due Diligence or Undue Burden?

Biden’s effort to collect information about how companies are developing, testing, and protecting their AI models sparked an uproar on Capitol Hill almost as soon as it debuted.

Congressional Republicans seized on the fact that Biden justified the new requirement by invoking the 1950 Defense Production Act, a wartime measure that lets the government direct private-sector activities to ensure a reliable supply of goods and services. GOP lawmakers called Biden’s move inappropriate, illegal, and unnecessary.

Conservatives have also blasted the reporting requirement as a burden on the private sector. The provision “could scare away would-be innovators and impede more ChatGPT-type breakthroughs,” Representative Nancy Mace said during a March hearing she chaired on “White House overreach on AI.”

Helberg says a burdensome requirement would benefit established companies and hurt startups. He also says Silicon Valley critics fear the requirements “are a stepping stone” to a licensing regime in which developers must receive government permission to test models.

Steve DelBianco, the CEO of the conservative tech group NetChoice, says the requirement to report red-team test results amounts to de facto censorship, given that the government will be looking for problems like bias and disinformation. “I am completely worried about a left-of-center administration … whose red-teaming tests will cause AI to constrain what it generates for fear of triggering these concerns,” he says.

Conservatives argue that any regulation that stifles AI innovation will cost the US dearly in the technology competition with China.

“They are so aggressive, and they have made dominating AI a core North Star of their strategy for how to fight and win wars,” Helberg says. “The gap between our capabilities and the Chinese keeps shrinking with every passing year.”

“Woke” Safety Standards

By including social harms in its AI security guidelines, NIST has outraged conservatives and set off another front in the culture war over content moderation and free speech.

Republicans decry the NIST guidance as a form of backdoor government censorship. Senator Ted Cruz recently slammed what he called NIST’s “woke AI ‘safety’ standards” for being part of a Biden administration “plan to control speech” based on “amorphous” social harms. NetChoice has warned NIST that it is exceeding its authority with quasi-regulatory guidelines that upset “the appropriate balance between transparency and free speech.”

Many conservatives flatly dismiss the idea that AI can perpetuate social harms and should be designed not to do so.

“This is a solution in search of a problem that really doesn't exist,” Helberg says. “There really hasn’t been massive evidence of issues in AI discrimination.”

Studies and investigations have repeatedly shown that AI models contain biases that perpetuate discrimination, including in hiring, policing, and health care. Research suggests that people who encounter these biases may unconsciously adopt them.

Conservatives worry more about AI companies’ overcorrections to this problem than about the problem itself. “There is a direct inverse correlation between the degree of wokeness in an AI and the AI's usefulness,” Helberg says, citing an early issue with Google’s generative AI platform.

Republicans want NIST to focus on AI’s physical safety risks, including its ability to help terrorists build bioweapons (something Biden’s EO does address). If Trump wins, his appointees will likely deemphasize government research on AI’s social harms. Helberg complains that the “enormous amount” of research on AI bias has dwarfed studies of “greater threats related to terrorism and biowarfare.”

Defending a “Light-Touch Approach”

AI experts and lawmakers offer robust defenses of Biden’s AI safety agenda.

These projects “enable the United States to remain on the cutting edge” of AI development “while protecting Americans from potential harms,” says Representative Ted Lieu, the Democratic cochair of the House’s AI task force.

The reporting requirements are essential for alerting the government to potentially dangerous new capabilities in increasingly powerful AI models, says a US government official who works on AI issues. The official, who requested anonymity to speak freely, points to OpenAI’s admission about its latest model’s “inconsistent refusal of requests to synthesize nerve agents.”

The official says the reporting requirement isn’t overly burdensome. They argue that, unlike AI regulations in the European Union and China, Biden’s EO reflects “a very broad, light-touch approach that continues to foster innovation.”

Nick Reese, who served as the Department of Homeland Security’s first director of emerging technology from 2019 to 2023, rejects conservative claims that the reporting requirement will jeopardize companies’ intellectual property. And he says it could actually benefit startups by encouraging them to develop “more computationally efficient,” less data-heavy AI models that fall under the reporting threshold.

AI’s power makes government oversight imperative, says Ami Fields-Meyer, who helped draft Biden’s EO as a White House tech official.

“We’re talking about companies that say they’re building the most powerful systems in the history of the world,” Fields-Meyer says. “The government’s first obligation is to protect people. ‘Trust me, we’ve got this’ is not an especially compelling argument.”

Experts praise NIST’s security guidance as a vital resource for building protections into new technology. They note that flawed AI models can produce serious social harms, including rental and lending discrimination and improper loss of government benefits.

Trump’s own first-term AI order required federal AI systems to respect civil rights, something that will require research into social harms.

The AI industry has largely welcomed Biden’s safety agenda. “What we're hearing is that it’s broadly useful to have this stuff spelled out,” the US official says. For new companies with small teams, “it expands the capacity of their folks to address these concerns.”

Rolling back Biden’s EO would send an alarming signal that “the US government is going to take a hands off approach to AI safety,” says Michael Daniel, a former presidential cyber adviser who now leads the Cyber Threat Alliance, an information sharing nonprofit.

As for competition with China, the EO’s defenders say safety rules will actually help America prevail by ensuring that US AI models work better than their Chinese rivals and are protected from Beijing’s economic espionage.

Two Very Different Paths

If Trump wins the White House next month, expect a sea change in how the government approaches AI safety.

Republicans want to prevent AI harms by applying “existing tort and statutory laws” as opposed to enacting broad new restrictions on the technology, Helberg says, and they favor “much greater focus on maximizing the opportunity afforded by AI, rather than overly focusing on risk mitigation.” That would likely spell doom for the reporting requirement and possibly some of the NIST guidance.

The reporting requirement could also face legal challenges now that the Supreme Court has weakened the deference that courts used to give agencies in evaluating their regulations.

And GOP pushback could even jeopardize NIST’s voluntary AI testing partnerships with leading companies. “What happens to those commitments in a new administration?” the US official asks.

This polarization around AI has frustrated technologists who worry that Trump will undermine the quest for safer models.

“Alongside the promises of AI are perils,” says Nicol Turner Lee, the director of the Brookings Institution’s Center for Technology Innovation, “and it is vital that the next president continue to ensure the safety and security of these systems.”

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willory · 2 years ago

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Unlocking the Power of HR Technology with Consulting Expertise

In today's digital age, HR technology has become an integral part of managing and optimising human resources. However, navigating the complex landscape of HR technology solutions can be challenging for organisations. This is where HR consulting services come into play. In this blog post, we will explore how HR consulting expertise can unlock the power of HR technology and help organisations leverage its full potential.

1. Understanding the Role of HR Technology

HR technology includes a wide range of programmes and devices intended to improve employee satisfaction, expedite HR procedures, and support organisational performance. HR technology has many advantages, ranging from application tracking systems to performance management software and employee self-service websites. However, in-depth knowledge and expertise are needed in order to apply HR technology and realise its full potential. This is where HR consulting services come in handy, as they offer businesses advice and assistance in choosing, putting into practise, and optimising the best HR technology solutions for their particular requirements.

2. Identifying HR Technology Needs

HR goals and needs vary each organisation. When it comes to HR technology, HR consulting services assist organisations in identifying their unique needs and objectives. HR experts may examine current HR procedures, pinpoint pain points, and identify the areas where technology can make the biggest strides forward through thorough needs assessments and strategic planning. This guarantees that businesses invest in the appropriate HR IT solutions that support their overall business goals and get the intended results.

3. Selecting and Implementing HR Technology

The number of HR technology alternatives can be overwhelming, making it difficult to choose the best one. HR consultants can help organisations with the selection process since they have in-depth knowledge of the HR technology market. They can evaluate various suppliers, test out products, and provide suggestions based on the requirements and financial constraints of the company. HR experts also help with the implementation of the selected HR technology, guaranteeing a seamless changeover, proper connection with current systems, and thorough training for the HR team and staff.

Conclusion

HR technology has the potential to revolutionize HR processes and enhance employee experiences. However, unlocking its power requires expert guidance. HR consulting services, such as those provided by leading HR consulting company Ohio, bring valuable insights and expertise to help organizations identify their HR technology needs, select the right solutions, and effectively implement them. By partnering with an experienced HR consulting company in Ohio, organizations can confidently navigate the world of HR technology and optimize their human resources for success.

#hr consultancy #willory #hr services #hr solutions

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digitalmore · 2 months ago

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#IFTTT #DigitalMore.co

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makers-muse · 3 months ago

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Attract Top Teachers to Your School with a High-Tech STEM Lab!

A School’s Transformation: How One STEM Lab Changed Everything

When Maplewood High faced declining teacher retention and struggled to attract top educators, Principal Hayes knew something had to change. The school introduced a cutting-edge STEM lab, equipped with 3D printers, robotics kits, and virtual reality tools. Within a year, applications from highly qualified STEM teachers increased by 40%, and student engagement in science and technology courses soared.

This is not just a one-off success story. Across the country, schools investing in high-tech STEM labs are attracting top-tier educators and improving student outcomes. Want to know how? Let’s dive in!

Why a High-Tech STEM Lab Attracts the Best Teachers

1. Cutting-Edge Tools Improve Teaching Quality

Top educators want access to the best resources. A National Science Teaching Association study found that 83% of STEM teachers prefer schools with advanced technology because it allows them to offer hands-on, interactive lessons.

Examples of High-Tech STEM Lab Tools:

3D Printers: Enables students to prototype engineering designs

Robotics Kits: Enhances computational thinking

VR & AR Simulations: Creates immersive learning experiences

AI & Machine Learning Software: Prepares students for future careers

When teachers have access to these tools, they can implement innovative teaching methods, making the school more attractive to industry-leading educators.

2. Increased Professional Development Opportunities

Top educators seek schools that invest in ongoing learning and growth. A report from the U.S. Department of Education found that schools offering STEM-focused professional development had a 25% higher retention rate among teachers.

How to Offer STEM-Focused Professional Development:

Host industry expert-led workshops on AI, cybersecurity, and robotics

Provide access to online STEM certification courses

Partner with universities for teacher training programs

Example: Lincoln Academy collaborated with Google for Education to train teachers on AI-powered learning, leading to a 30% increase in teacher satisfaction.

3. STEM Labs Enhance Student Outcomes, Motivating Educators

Top educators want to teach where they can make the biggest impact. STEM labs improve student engagement, retention, and academic performance.

A Johns Hopkins University study found that students in STEM-integrated classrooms showed:

17% higher science and math test scores

Increased problem-solving abilities

12% better critical thinking skills

When students excel, teachers feel more motivated and fulfilled, increasing job satisfaction and retention.

4. Industry Partnerships Create Exciting Opportunities

Schools with STEM industry partnerships attract teachers by offering unique real-world learning experiences.

Top Industry Partnerships Schools Can Leverage:

Tesla & Schools: Engineering projects and scholarships

Microsoft & Google: Free software tools and coding workshops

NASA: Space and robotics mentorship programs

Example: A Texas school partnered with IBM to provide students and teachers access to quantum computing tools, boosting STEM teacher recruitment by 35%.

How to Build a High-Tech STEM Lab That Attracts Teachers

1. Secure Funding Through Grants & Sponsorships

Funding Sources for STEM Labs:

National Science Foundation (NSF) Grants – Up to $100,000 for STEM infrastructure

Google & Microsoft Education Grants – Provides free tools and resources

Local Tech Company Sponsorships – Many businesses fund STEM initiatives in their communities

Example: A school in Ohio secured a $75,000 NSF grant to fund their STEM lab, leading to a 40% increase in teacher applications.

2. Invest in Affordable, High-Impact STEM Tools

Even schools with limited budgets can build a top-tier STEM lab by investing in cost-effective tools:

Raspberry Pi & Arduino Kits – Affordable coding and engineering resources

Tinkercad & Free 3D Printing Software – Encourages creativity and innovation

Open-source AI & Machine Learning Platforms – Gives students access to real-world tech

Tip: Many companies offer discounts or free licenses for educational institutions!

3. Provide STEM Certifications & Career Advancement for Teachers

Teachers are more likely to join a school that supports career growth. Offer STEM certifications and training to attract and retain top talent.

Best STEM Training Platforms for Teachers:

Coursera & edX – AI and robotics certifications

STEM.org & Code.org – Free STEM teaching resources

MIT OpenCourseWare – Advanced science and engineering courses

A Harvard study found that schools offering teacher training in STEM saw a 22% improvement in student performance and higher teacher retention rates.

Build Your STEM Lab & Attract Top Educators Today!

A high-tech STEM lab is more than just a classroom upgrade—it’s a game-changer for attracting top-tier teachers and preparing students for the future. Schools investing in STEM labs see higher teacher retention, improved student outcomes, and stronger industry connections.

Ready to build a cutting-edge STEM lab and attract the best educators? Take the first step today!

Contact Maker Muse today !

Website: https://makersmuse.in/ Email: [email protected]

#steam #steamteacher #steameducation #steamlab #steamclassroom #steamgames

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cloudlims · 9 months ago

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CloudLIMS Announces Metrc Integration with its Cannabis LIMS in Ohio

Wilmington, Delaware – Aug 14 2024 – CloudLIMS, a leading SOC 2 compliant and ISO 9001:2015 certified provider of a secure, state-of-the-art, future-ready laboratory information management system (LIMS), is proud to announce the successful integration of its cannabis LIMS with Metrc, the state-mandated cannabis tracking system in Ohio. This integration will ensure seamless compliance with state regulations and enhance operational efficiency for cannabis testing laboratories in Ohio.

Marijuana Enforcement Tracking and Compliance (Metrc) is a robust seed-to-sale tracking system that enables more than 20 U.S. states to regulate the cannabis industry by tracing cannabis through the supply chain, including cultivation, processing, testing, and sale. The Ohio Department of Commerce’s Division of Cannabis Control has mandated the use of Metrc for all cannabis businesses in the state, including cannabis testing laboratories.

Key Benefits of CloudLIMS’ Integration with Metrc for Cannabis Testing Labs:

Automated Sample Handling and Results Posting: With this integration, laboratories can automatically import sample data from Metrc into the LIMS, including details like Metrc package tag ID and strain information. After testing, CloudLIMS users can upload test results to Metrc with just a few clicks. This streamlines the reporting process, ensuring timely and accurate compliance with state regulations while reducing administrative tasks. The integration keeps records consistently accurate and up-to-date in Metrc, eliminating discrepancies and saving time.

Real-Time Tracking: Laboratories can track the status of samples and test results in real-time, benefitting from greater transparency and improved communication with clients and regulatory bodies.

Streamlined Reporting: Metrc integration automates the generation of compliant Certificates of Analysis (CoAs), significantly reducing the time required for testing laboratories. This efficient process ensures CoAs are submitted promptly, boosting overall operational efficiency.

Reduced TAT: The CloudLIMS and Metrc integration speeds up state regulatory reporting for cannabis testing laboratories, avoiding regulatory non-compliance.

Easy Audits: The CloudLIMS-Metrc interface eases regulatory audits by making data access and verification straightforward. This transparency ensures a smooth audit process and enhances compliance readiness.

Scalability: CloudLIMS-Metrc integration is built to effortlessly scale with business expansion in the growing cannabis industry. This scalability supports larger data volumes and increased complexity, ensuring ongoing compliance and enabling growth.

“We are thrilled to offer this new powerful integration to cannabis testing laboratories in Ohio,” said Arun Apte, CEO at CloudLIMS. “Compliance is a critical aspect of the cannabis industry, and the integration with Metrc provides a seamless solution to ensure laboratories meet regulatory requirements while digitizing their operations. We look forward to expanding Metrc integration to more states soon,” he added.

About CloudLIMS

CloudLIMS.com offers a SaaS LIMS Software with zero upfront cost. CloudLIMS is a purpose-built LIMS for cannabis and hemp testing and extraction labs. CloudLIMS offers complimentary services such as instrument integration, custom CoA templates, technical support and training, automatic product upgrades and hosting, integration with seed-to-sale software, and automatic data backups. CloudLIMS helps testing labs manage data, automate workflows, and follow regulatory compliance, including ISO/IEC 17025:2017, GMP, GLP, 21 CFR Part 11, audit trail, and local regulatory guidelines. CloudLIMS.com is a SOC 2-compliant and ISO 9001:2015-certified informatics company. For more information, please visit www.cloudlims.com.

Contact:

Mrinal Kanti Chatterjee CloudLIMS.com 302-789-0447 [email protected]

#Cannabis LIMS

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douchebagbrainwaves · 4 years ago

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STARTUPS AND WIRED

There is rarely a single brilliant hack that ensures success: I learnt never to bet on any one feature or deal or anything to bring you success. When we cook one up we're not always 100% sure which kind it is. The Web may not be. Some believe only business people can do this with YC itself. The floors are constantly being swept clean of any loose objects that might later get stuck in something. The really juicy new approaches are not the ones that matter anyway. Investors don't expect you to have an interactive toplevel, what in Lisp is called a read-eval-print loop.

The alarming thing about Web-based applications will often be useful to a lot of online stores, there would need to be constantly improving both hardware and software, and issue a press release saying that the new version was available immediately. Admissions to PhD programs in the hard sciences are fairly honest, for example. He said VCs told him this almost never happened. Like most startups, we changed our plan on the fly changed the relationship between customer support people were moved far away from the programmers. It's the same with other high-beta vocations, like being an actor or a novelist.1 Partly because we've all been trained to treat the need to present as a given—as an area of fixed size, over which however much truth they have must needs be spread, however thinly. Bootstrapping sounds great in principle, but this apparently verdant territory is one from which few startups emerge alive. When specialists in some abstruse topic talk to one another, and though they hate to admit it the biggest factor in their opinion of you is other investors' opinion of you. Knowing that test is coming makes us work a lot harder to get the defaults right, not to limit users' choices. Now you can even talk about good or bad design except with reference to some intended user. I can sense that.2 I don't know of anyone I've met.

How can this be? Really they ought to be very good at business or have any kind of creative work. And they're astoundingly successful. The Detroit News. In fact, it may not be the first time, with misgivings.3 The eminent, on the other hand, are weighed down by their eminence.4 And what I discovered was that business was no great mystery. Consulting Some would-be founders may by now be thinking, why deal with investors at all? Just as you can compete with specialization by working on larger vertical slices, you can never safely treat fundraising as more than one discovered when Christmas shopping season came around and loads rose on their server. Once a company shifts over into the model where everyone drives home to the suburbs for dinner, however late, you've lost something extraordinarily valuable.

Y Combinator and most of my time writing essays lately.5 It was only then I realized he hadn't said very much. Actually, there are projects that stretch them. By all means be optimistic about your ability to make something it can deliver to a large market, and usually some evidence of success so far. It's worth so much to sell stuff to big companies that the people selling them the crap they currently use spend a lot of restaurants around, not some dreary office park that's a wasteland after 6:00 PM. At Viaweb our whole site was like a bunch of people is the worst kind. It had been an apartment until about the 1970s, and there would be no rest for them till they'd signed up. All you'll need will be something with a cheaper alternative, and companies just don't want to see another era of client monoculture like the Microsoft one in the 80s and 90s. We can learn more about someone in the first place.6 If you try writing Web-based software will be less stressful. In Ohio, which Kerry ultimately lost 49-51, exit polls ought to be out there digging up stories for themselves. Be able to downshift into consulting if appropriate.

You wouldn't use vague, grandiose marketing-speak among yourselves. Focus on the ones that matter anyway. If they hadn't been, painting as a medium wouldn't have the prestige that it does. These are not early numbers. C: Perl, Python, and even have bad service, and people will keep coming. But angel investors like big successes too. If someone had launched a new, spam-free mail service, users would have flocked to it.

Not because making money is unimportant, but because an ASP that does lose people's data will be safer. In a startup, things seem great one moment and hopeless the next. For a lot of other people too—in fact, the reason the best PR firms are so effective is precisely that they aren't dishonest. You can shift into a different mode of working. Maybe they can, companies like to do but can't.7 Fortunately, I can fix the biggest danger right here. It was not until Hotmail was launched a year later that people started to get it. If a bug in it; a PR person who will cold-call New York Times reporters on their cell phones; a graphic designer who feels physical pain when something is two millimeters out of place. I wish I could say that force was more often used for good than ill, but I'm not sure. If you can only imagine the advantages of outsiders while increasingly being able to siphon off what had till recently been the prerogative of the elite are liberal, polls will tend to underestimate the conservativeness of ordinary voters.8

This was apparently too marginal even for Apple's PR people.9 These were the biggest. Give hackers an inch and they'll take you a mile. Be flexible. When did Google take the lead? But if you were using the software for them. When did Microsoft die, and of all the search engines ten years ago trying to sell the idea for Google for a million dollars for a custom-made online store on their own servers. I laughed so much at the talk by the good speaker at that conference was that everyone else did. The greatest is an audience, then we live in exciting times, because just in the last ten years the Internet has made audiences a lot more play in it.

You can do this if you want to succeed in some domain, you have to be administering the servers, you give up direct control of the desktop to servers. A few steps down from the top you're basically talking to bankers who've picked up a few new vocabulary words from reading Wired.10 There is a role for ideas of course. And that's who they should have been choosing all along. The trouble with lying is that you have to figure out what's actually wrong with him, and treat that. Lots of small companies flourished, and did it by making cool things. As Fred Brooks pointed out in The Mythical Man-Month, adding people to a project tends to slow it down.11 Every audience is an incipient mob, and a lot of compound bugs.

Notes

Which is precisely because they can't legitimately ask you to acknowledge it.

A great programmer might invent things an ordinary one?

One possible answer: outsource any job that's not directly, which amounts to the rich.

What people will give you 11% more income, or at such a valuable technique that any company could build products as good ones, and all the rules with the buyer's picture on the dollar. By this I mean forum in the Sunday paper. 1% a week for 4 years.

Whereas the activation energy required to switch. If Bush had been with us he would have. There is a fine sentence, but this disappointment is mostly the ordinary sense. 1323-82.

And for those interested in investing but doesn't want to live. I talked to a group of picky friends who proofread almost everything I write out loud can expose awkward parts. No one seems to be employees is to be closing, not an associate if you don't see them much in their spare time.

Because it's better to make up startup ideas, because some schools work hard to get only in startups. But you can't mess with the Supreme Court's 1982 decision in Edgar v.

Which helps explain why there are no misunderstandings. If you like the Segway and Google Wave. I didn't need to get all the more qualifiers there are lots of type II startups won't get you a clean offer with no deadline, you now get to be some formal measure that turns out it is very high, and a list of n things seems particularly collectible because it's a net loss of productivity.

If he's bad at it. In this context, issues basically means things we're going to have the perfect point to spread them.

A Plan for Spam I used thresholds of. Google's site.

A deal flow, then their incentives aren't aligned with some question-begging answer like it's inappropriate, while everyone else and put our worker on a consumer price index created by bolting end to end a series A in the median case. Possible exception: It's hard to say that it makes people dumber.

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ohiodiagnostics-blog · 4 years ago

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Ohio Diagnostics Conditions

Diagnosing the condition of bridges is an unsafe, time consuming and costly job. To identify defects and assess the general condition of the structure, workers have to hang on ropes for a long time, hundreds of meters from the ground. The whole procedure takes several weeks, and during this period, traffic is completely or partially blocked. To facilitate the process of "looking after" the bridges and save taxpayers' money, Intel has proposed to entrust this work to drones at ohio diagnostics. To know more info check it.

Maintenance work for such structures is becoming more and more important: the infrastructure of the United States is aging, now about 9% of bridges across the country are in need of repair. Out of 600 thousand structures, more than 54 thousand are assessed as "with structural defects"; such bridges need constant monitoring or repair, but this status does not mean that the facility is unsafe or destroyed.

Intel conducted the first field trials with the support of local transportation officials. Test sites were the Stone Arched Bridge in Minneapolis and the Daniel Carter Beard Bridge on the Ohio-Kentucky border. In a few days, Falcon 8+ drones made 2,500 high-resolution images, which were then "glued" in a 3D model - into so-called digital twins, in which you can see details less than a centimeter long. With the help of these images, it is easy to track the changes that are taking place. Intel specialists plan to connect artificial intelligence and machine learning to the project: this technology will automatically highlight cracks, corrosion and other defects at ohio diagnostics.

The operation with the participation of aircraft turned out to be 40% cheaper than the standard scheme. The authors of the project estimate that using drones to maintain a bridge in Minneapolis in ten years can save $ 160,000. However, in order to put the new algorithm on the conveyor, it is necessary to improve both the hardware and the software, as well as to train pilots and teach them how to operate drones.

Sometimes, having acquired very expensive and complex equipment, car service specialists rely on it so much that they sometimes forget about small and banal reasons that can lead to engine malfunction. For example, wear of the cylinder-piston group or gas distribution system. After all, the on-board computer is not able to determine that the valve is leaky or the piston is badly worn out in Ohio diagnostics.

And sometimes, carried away by the diagnostic process, experts forget about it and many hours of car examination are spent looking for such a minor and banal malfunction. But it is enough to have an automobile compressor in the arsenal of a car service and you can quickly check the state of the mechanics. Moreover, this device is universal and suitable for both diesel and gasoline engines.

When working with a gas analyzer, a car mechanic has to be in the exhaust zone. And an unpleasant smell remains in the car. It is not always acceptable to roll the machine out for this procedure. In addition, the image of a car service from this can greatly suffer in the eyes of the client.

Therefore, it is worth considering purchasing a device for the removal of exhaust gases. There are two types of auto diagnostic equipment: specialized and universal. As a rule, specialized equipment is more accurate, but also more expensive. Therefore, most often they buy exactly the universal.

As you have already managed to make sure, it is not difficult to create and equip the diagnostics section in your car service with the necessary equipment. And if you contact a company that, in addition to the sale, selects the necessary equipment, then this procedure is greatly simplified. All equipment sold has a guarantee and corresponding certificates. Our company is ready to offer any diagnostic equipment.

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strawberryblossom00 · 5 years ago

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The Predicament of Virtual Learning

It was Friday, March 13th. The bell rang, and the halls of my high school were brimming with chatter as usual- save for one major difference. There were no discussion of after-school hangouts, or basketball practice, or the absurd amount of homework assigned for the weekend; all conversation has turned to one topic only: school is out, possibly for good. I had no idea, back then, that walking out of my seventh period classroom was a one-way trip.

Now, the classroom is dissolved, at least in a traditional sense. Coronavirus drove students and teachers into their homes, and with that shift came the movement from physical to virtual learning. However, this movement came with several problems, including a less effective curriculum, lack of crucial access for some, and invasive anti-cheating methods. The impact that COVID-19 has had on education is widespread, and it appears to not be leaving anytime soon. As an Ohio arts teacher phrases it:

“I’m depressed and I miss my students. I can’t connect well this way.” (Education Week, 2020)

Teaching Through a Screen: Zoom and Video Call Fatigue

Viewing fellow students and/or teachers through a screen adds an impersonal touch that leaves many unmotivated and anxious. The awkward silences and glitchiness of online education builds up over time, leading to video call fatigue, as Kate Murphy of the New York Times explains:

“The problem is that the way the video images are digitally encoded and decoded, altered and adjusted, patched and synthesized introduces all kinds of artifacts: blocking, freezing, blurring, jerkiness and out-of-sync audio. These disruptions, some below our conscious awareness, confound perception and scramble subtle social cues. Our brains strain to fill in the gaps and make sense of the disorder, which makes us feel vaguely disturbed, uneasy and tired without quite knowing why.” (Murphy, 2020)

A virtual classroom makes it incredibly difficult to read facial and body language, and an entire day of nothing but hurdling over problems is almost certain to lead to exhaustion. This exhaustion bleeds into student and teacher performance alike; attempts to account for lower quality work with pass/fail systems and relaxed grading scales only temporarily alleviate the issue, as months of Zoom calls means a degraded learning experience as a whole.

And, on another note, what of the students that can’t access the internet at all?

Essential Workers and Essential Education Don’t Mix

For low-income students that depended on outside locations to have access to wi-fi, as well as workers deemed essential during the crisis, online schooling has presented additional obstacles to learning.

I was fortunate enough to attend a high school where each student was assigned a laptop to use, but in poorer areas and for college students without the luxury of designated equipment, access to a computer or even a stable internet connection is much more scarce. On top of the struggle to comprehend material through a screen rather than in person, there is the constant question of how to connect to Zoom meetings, submit assignments, etc.

“The absence rate appears particularly high in schools with many low-income students, whose access to home computers and internet connections can be spotty. Some teachers report that fewer than half of their students are regularly participating.” (Goldstein, Popescu, Hannah-Jones, 2020)

Even prior to the pandemic, some were at a disadvantage due to their economic situation. Now, especially with the unemployment rate skyrocketing past fourteen percent, the highest in U.S. history according to tradingeconomics.com, more and more families are burdened with financial stress that make affording internet near impossible. For those that remain in the workforce, the long hours required of them during the crisis has introduced a new hurdle to scheduled meetings and even simply making time for assignments. Teacher Michelle Martin-Sullivan paints a vivid image of her problems trying to reach students:

“Many of her students are essential workers at stores like Walmart and have begun picking up extra shifts to support their families. Other students, as well as some teachers, don’t have internet access at all.” (Markus, 2020)

The strain of juggling work and school proves overwhelming for some, and an inability to access wi-fi doubles the load. To put it simply, switching to a pass/fail grading system is at best putting a bandaid on a gunshot wound. The wealth gap is proving fatal to the education of low-income students, and even for those who can enter their virtual classrooms, a matter of privacy comes into question...

Did We Not Learn Anything From 1984?

Now, Zoom and test proctors are far from Orwell’s terrifying surveillance state, but the point of individual privacy and discomfort of being watched still stand. Zoom has been faced with criticism over its security and privacy practices from the moment it exploded in popularity at the front end of the pandemic, but even as the service has addressed these concerns, one major flaw continues to present itself: for free users, end-to-end encryption of data will not be offered. As explained by Wired’s Lily Hay Newman:

“End-to-end encryption allows data to move between devices in a form that is unreadable to anyone other than the recipients—protecting the information in transit from snooping by your internet service provider, the government, or communication platforms themselves.” (Newman, 2020)

On top of Zoom ‘hackers’ infiltrating calls and potential for sensitive information to be stolen, the company seems to be more concerned with profitability than the safety of its users.

Post-lecture, many teachers and professors have taken to using proctoring software/services such as Examity or Proctorio to discourage cheating. However, both algorithmic and live proctors suffer from drawbacks. Using a machine to detect cheating may initially seem productive, but based on how the a.i. was trained, there could be a bias in favor of certain skin tones, face shapes, etc. as experienced by a University of Washington student and described to Rebecca Heilweil:

“...the tool’s facial detection algorithm seemed to struggle to recognize them, so they needed to sit in the full light of the window to better expose the contours of their face, in their view an indication that the system might be biased.” (Heilweil, 2020)

In a separate article, Heilweil explains this trained bias in more detail.

“Often, the data on which many of these decision-making systems are trained or checked are often not complete, balanced, or selected appropriately, and that can be a major source of — although certainly not the only source — of algorithmic bias.”

Human proctors, on the other hand, are widely viewed as an invasion of privacy by students. Having a teacher walk around the room during the exam is quite different than this virtual ‘equivalent,’ where students are monitored one-on-one. As if exams weren’t stressful enough, test-takers must additionally try not to alert the proctor, who is watching them for the entirety of the exam, to potentially suspicious behavior such as eye movement or whispering. As Jackson Hayes from the University of Arizona phrases it:

“’Every student I know finds this the creepiest thing ever,’ Hayes says. On his campus, he finds, ‘the predominant feeling towards Examity is ‘Screw this.’” (Chin, 2020)

Orwell is laughing in his grave, as far as I’m concerned.

All this is to say...

Through the mess of virtual learning, it is beyond troublesome for students to get the education they (or their parents) are paying for. Despite this, though, teachers are still working hard to reach their students. This may be our temporary normal, but just as this haphazard system was created, so can we try to make the best of a less than ideal situation. I’ll always feel a pang of regret not getting to experience the last third of my senior year live, but hopefully I- and everyone else- will come out stronger for it.

“The COVID-19 crisis may well change our world and our global outlook; it may also teach us about how education needs to change to be able to better prepare our young learners for what the future might hold.” (Luthra, Mackenzie, 2020)

Sources:

Images, in order of appearance:

https://www.theverge.com/2020/3/31/21197215/how-to-zoom-free-account-get-started-register-sign-up-log-in-invite

https://www.forbes.com/sites/yolarobert1/2020/04/30/heres-why-youre-feeling-zoom-fatigue/#b6a61112ac69

https://lakecentralnews.com/45022/top-stories/life-with-essential-worker-in-family/

[created by author]

Links, in order of use:

https://www.edweek.org/ew/articles/2020/06/03/how-did-covid-19-change-your-teaching-for.html

https://www.nytimes.com/2020/04/29/sunday-review/zoom-video-conference.html

https://www.nytimes.com/2020/04/06/us/coronavirus-schools-attendance-absent.html

https://tradingeconomics.com/united-states/unemployment-rate#:~:text=Unemployment%20Rate%20in%20the%20United,percent%20in%20May%20of%201953.

https://www.vox.com/2020/4/23/21233042/coronavirus-online-learning-teachers-students

https://www.wired.com/story/zoom-end-to-end-encryption-paid-accounts/

https://www.vox.com/recode/2020/5/4/21241062/schools-cheating-proctorio-artificial-intelligence

https://www.vox.com/recode/2020/2/18/21121286/algorithms-bias-discrimination-facial-recognition-transparency

https://www.theverge.com/2020/4/29/21232777/examity-remote-test-proctoring-online-class-education

https://www.weforum.org/agenda/2020/03/4-ways-covid-19-education-future-generations/

#covid #coronavirus #education #zoom #virtual learning #online learning #privacy

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intellixsoftware1 · 1 year ago

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#qa training ohio #qa testing online training #qa testing course ohio #software testing training ohio

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nasa · 7 years ago

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Meet Our New Flight Directors!

We just hired six new flight directors to join a unique group of individuals who lead human spaceflights from mission control at our Johnson Space Center in Houston.

A flight director manages all human spaceflight missions and related test flights, including International Space Station missions, integration of new American-made commercial spacecraft and developing plans for future Orion missions to the Moon and beyond.

Only 97 people have served as flight directors, or are in training to do so, in the 50-plus years of human spaceflight. That’s fewer than the over 300 astronauts! We talked with the new class about their upcoming transitions, how to keep calm in stressful situations, the importance of human spaceflight and how to best learn from past mistakes. Here’s what they had to say…

Allison Bollinger

Allison is from Lancaster, Ohio and received a BS in Aerospace Engineering from Purdue University. She wanted to work at NASA for as long as she can remember. “I was four-and-a-half when Challenger happened,” she said. “It was my first childhood memory.” Something in her clicked that day. “After, when people asked what I wanted to be when I grew up, I said an astronaut.”

By high school a slight fear of heights, a propensity for motion sickness and an aptitude for engineering shifted her goal a bit. She didn’t want to be an astronaut. “I wanted to train astronauts,” she said. Allison has most recently worked at our Neutral Buoyancy Lab managing the daily operations of the 40-ft-deep pool the astronauts use for spacewalk training! She admits she’ll miss “the smell of chlorine each day. Coming to work at one of the world’s largest pools and training astronauts is an incredible job,” she says. But she’s excited to be back in mission control, where in a previous role she guided astronauts through spacewalks.

She’s had to make some tough calls over the years. So we asked her if she had any tips for when something… isn’t going as planned. She said, “It’s so easy to think the sky is falling. Take a second to take a deep breath, and then you’ll realize it’s not as bad as you thought.”

Adi Boulos

Adi is from Chicago, Illinois and graduated from the University of Illinois Urbana Champaign with a BS in Aerospace Engineering. He joined us in 2008 as a member of the very first group of flight controllers that specialize in data handling and communications and tracking systems aboard the space station.

Most recently he served as the group lead in the Avionics Trainee group, which he loved. “I was managing newer folks just coming to NASA from college and getting to become flight controllers,” he said. “I will miss getting to mentor them from day one.” But he’s excited to start his new role alongside some familiar faces already in mission control. “It’s a great group of people,” he said of his fellow 2018 flight director class. “The six of us, we mesh well together, and we are all from very diverse backgrounds.”

As someone who has spent most of his career supporting human spaceflight and cargo missions from mission control, we asked him why human spaceflight is so important. He had a practical take. “It allows us to solve problems we didn’t know we had,” he said. “For example, when we went to the moon, we had to solve all kinds of problems on how to keep humans alive for long-duration flights in space which directly impacts how we live on the ground. All of the new technology we develop for living in space, we also use on the ground.”

Marcos Flores

Marcos is from Caguas, Puerto Rico and earned a BS in Mechanical Engineering from the University of Puerto Rico and an MS in Aerospace Engineering from Purdue University. Spanish is his first language; English is his second.

The first time he came to the Continental US was on a trip to the Kennedy Space Center in Florida as a kid! “I always knew I wanted to work for NASA,” he said. “And I knew I wanted to be an engineer because I liked to break things to try to figure out how they worked.” He joined us in 2010 as an intern in a robotics laboratory working on conceptual designs for an experimental, autonomous land rover. He later transitioned to the space station flight control team, where he has led various projects, including major software transitions, spacewalks and commercial cargo missions!

He shares his new coworkers’ thoughts on the practical aspects of human spaceflight and believes it’s an expression of our “drive to explore” and our “innate need to know the world and the universe better.” But for him, “It’s more about answering the fundamental questions of where we come from and where we’re headed.”

Pooja Jesrani

Pooja graduated from The University of Texas at Austin with a BS in Aerospace Engineering. She began at NASA in 2007 as a flight controller responsible for the motion control system of the International Space Station. She currently works as a Capsule Communicator, talking with the astronauts on the space station, and on integration with the Boeing Starliner commercial crew spacecraft.

She has a two-year-old daughter, and she’s passionate about motherhood, art, fashion, baking, international travel and, of course, her timing as a new flight director! “Not only have we been doing International Space Station operations continuously, and we will continue to do that, but we are about to launch U.S. crewed vehicles off of U.S. soil for the first time since the space shuttle in 2011. Exploration is ramping up and taking us back to the moon!” she said.” “By the time we get certified, a lot of the things we will get to do will be next-gen.”

We asked her if she had any advice for aspiring flight directors who might want to support such missions down the road. “Work hard every day,” she said. “Every day is an interview. And get a mentor. Or multiple mentors. Having mentorship while you progress through your career is very important, and they really help guide you in the right direction.”

Paul Konyha

Paul was born in Manhasset, NY, and has a BS in Mechanical Engineering from Louisiana Tech University, a Master’s of Military Operational Arts and Science from Air University, and an MS in Astronautical Engineering from the University of Southern California. He began his career as an officer in the United States Air Force in 1996 and authored the Air Force’s certification guide detailing the process through which new industry launch vehicles (including SpaceX’s Falcon 9) gain approval to launch Department of Defense (DoD) payloads.

As a self-described “Star Wars kid,” he has always loved space and, of course, NASA! After retiring as a Lieutenant Colonel in 2016, Paul joined Johnson Space Center as the Deputy Director of the DoD Space Test Program Human Spaceflight Payloads Office. He’s had a rich career in some pretty high-stakes roles. We asked him for advice on handling stress and recovering from life’s occasional setbacks. “For me, it’s about taking a deep breath, focusing on the data and trying not to what if too much,” he said. “Realize that mistakes are going to happen. Be mentally prepared to know that at some point it’s going to happen—you’re going to have to do that self-reflection to understand what you could’ve done better and how you’ll fix it in the future. That constant process of evaluation and self-reflection will help you get through it.”

Rebecca Wingfield

Rebecca is from Princeton, Kentucky and has a BS in Mechanical Engineering from the University of Kentucky and an MS in Systems Engineering from the University of Houston, Clear Lake. She joined us in 2007 as a flight controller responsible for maintenance, repairs and hardware installations aboard the space station.

Since then, she’s worked as a capsule communicator for the space station and commercial crew programs and on training astronauts. She’s dedicated her career to human spaceflight and has a special appreciation for the program’s long-term benefits. “As our human race advances and we change our planet in lots of different ways, we may eventually need to get off of it,” she said. “There’s no way to do that until we explore a way to do it safely and effectively for mass numbers of people. And to do that, you have to start with one person.” We asked her if there are any misconceptions about flight directors. She responded, “While they are often steely-eyed missile men and women, and they can be rough around the edges, they are also very good mentors and teachers. They’re very much engaged in bringing up the next generation of flight controllers for NASA.”

Congrats to these folks on leading the future of human spaceflight!

You can learn more about each of them HERE.

Make sure to follow us on Tumblr for your regular dose of space: http://nasa.tumblr.com

#NASA #space #mission control #flight directors #space station #human spaceflight #spaceflight #exploration #johnson space center

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jhavelikes · 2 years ago

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A.I. hasn’t yet finished killing the radio star, nor is it truly likely to anytime soon. But there’s a new digital buddy out there that might give hosts additional pause: RadioGPT, a new tool from the Ohio-based software company Futuri Media that fully digitizes the broadcast host as you know it. According to Futuri, which has worked with large corporations like iHeartMedia and Tribune Publishing, its “new and revolutionary product” combines a few tools: TopicPulse, a Futuri app that provides an automated way to scan media sources and pull out relevant topics for coverage; GPT-3, the large language model that powers the hit chatbot ChatGPT; and A.I.-voice “personalities” made by Futuri that can learn the info scraped by TopicPulse and aggregated by GPT-3 to read readymade copy live on air. Oh, and it’s trained to know all available facts about the music played by your station, so it can even intro upcoming tracks and provide trivia as needed. The RadioGPT beta is currently being tested by large radio owners in the United States and Canada, and to gauge from preliminary reviews, it seems pretty good. Accomplished enough, at the very least, to reawaken worst-case fears regarding the future of human radio jobs, no matter what you actually make of RadioGPT’s humanoid talent.

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tastydregs · 2 years ago

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Replacing Humans “Is the Furthest Thing From Our Mindset,” Says the Company Selling an A.I. Radio Host

The humble broadcast-radio host, whether a disc jockey or interviewer or reporter, has been going through it for decades now. The 1996 Telecommunications Act fueled the consolidation of local stations, decimating their staffs. The explosion of online radio, music and video streaming, and podcasting have upended ratings for shows on public airwaves. Phones and computers and smart speakers increasingly supplant radio sets. Funding for public radio is notoriously unreliable. It isn’t the best time for your modern-day Wolfman Jacks, or for any media profession.

On top of all that, your local DJ was already on the losing end of the artificial-intelligence revolution. Before the A.I. hype from last year, and even before the COVID recession demolished media ad markets, broadcast networks were gutting on-air talent at the both the national and collegiate level to trim budgets and automate programming: syndicating well-known shows and brands, prerecording and prearranging late-night broadcasts, training a roboticized voice to fill in the space when needed. Coupled with major streaming services’ dependence on algorithms and automation to curate playlists and make user recommendations—often with bizarre side effects—these developments make clear that the music industry anticipates the need for fewer humans down the line.

I recently spoke with two Futuri Media executives—CEO and co-founder Daniel Anstandig, and CFO Marty Shagrin—to discuss the reasons for creating RadioGPT, the potential use cases for the tech, and how to square radio-industry automation with the Futuri team’s “passion for entertainment and pop culture,” as Anstandig characterized it. Our conversation has been edited and condensed for clarity.

Nitish Pahwa: When did you come up with the idea for RadioGPT?

Daniel Anstandig: The idea for RadioGPT started before GPT was a mainstream concept. About three years ago, we started working on an A.I. voice project to help augment on-air personalities and bring voices to air shifts for radio and TV programming that are typically unmanned—when there aren’t people in the studio and there’s no live and local content available. Along the way, there’ve been limitations around the realness versus the synthetic quality of the voices, and there’ve been challenges we’ve faced around making the on-air hosts more humanistic.

Over the last 10 years, we’ve developed automation systems that directly interface with radio and TV stations and the automation systems that run what’s happening on the air. We had TopicPulse, which scans information from Facebook, Twitter, Instagram, and over 250,000 news sources so we can see what’s trending in a local market as big as New York or as small as Medicine Hat, Alberta. We’ve also been able to integrate GPT-3, which has made our scripts more conversational. That was a big breakthrough. At the same time, we had a breakthrough around our A.I. voices becoming more humanlike and more, I would say, interesting to listen to over long-form programming.

Marty Shagrin: We’ve built our company around helping broadcasters focus on local content that is engaging, that brings people of a community together. A.I. has been in development for a long time, so itself, it’s not magical. It’s about the way that it’s used to deliver against the promise of broadcast content, whose 90 percent national reach has been built on local and live content.

Something you mentioned, Daniel, is that there’s so much radio at this point that’s been automated, especially late-night programming. So from your view, RadioGPT is a way to bring back personality to those humanless shifts?

Anstandig: I do think there’s an advantage to being more current, and we have technology that helps personalities or talent to be timely. As an example, inside TopicPulse, we use A.I. to predict what’s going to go viral in a local market. So if a station is voice-tracking—that’s the industry term for what you’re describing—or prerecording their content with a personality, they could conceivably look ahead in that market to see what’s currently trending with their audience and what’s predicted to go viral, or determine what will be interesting at that time.

One of the advantages of RadioGPT is that it knows about an artist or a song or about a current event, so it can speak to a broad range of topics concisely and in an entertaining way. When we set up RadioGPT voices, this is not text-to-speech. This is setting up character and personality in A.I., with a perspective, with character traits, with a viewpoint that is presenting a certain view or idea to the audience. That’s a tremendous upgrade from listening to prerecorded content.

It’s interesting to hear that angle, because I think when it comes to DJs or radio workers who’ve seen the industry contract—especially in terms of headcount—some might be inclined to say: “It’s A.I. that’s pushing us out of our jobs to begin with. And now there’s this new A.I. gizmo to fill in for people who’ve been displaced.” I’m curious if you’ve heard from local DJs about what they make of an advanced tool like this.

Anstandig: We have heard from a lot of air personalities as well as station owners and managers. We’ve heard from virtually every major streaming service, as well. In general, everyone is leaning in to the opportunity to dream up innovative, creative ways to augment talent, or to help talent do what they do best and create more companionship on the air. As an example, if you have a show that is carried in multiple markets, imagine that show is able to use the same station host or that same host’s voice to narrate local weather, news, traffic, or to talk about an event that’s happening, even though the show is on a national platform. That’s tremendous. Imagine that you could take a show that’s presented in English but then, in near real time, translate it into Spanish and have that read by an A.I. voice. You could also look at situations where hosts want to add RadioGPT or A.I. as a co-host and interact with it.

We have heard from personalities that are concerned that somehow there’s a mission here to replace them. But that is the furthest thing from our mindset. Local is the key to attracting audiences, and you can bet every streaming service is going to innovate in this way. We’re talking to every major service about ways to use our system. Why shouldn’t radio do the same thing? Radio shouldn’t have unmanned air shifts without live and local content.

A.I. systems—whether for voice imitation or LLMs or aggregation—run on big datasets, and there are all sorts of energy and computing costs. What’s the financial burden of making a product like this and distributing it?

Anstandig: The cost of doing this well is tremendous because you are stacking on different technologies, some that are proprietary and patented by Futuri and created over many years, along with services like GPT-3. So there is an innovation cost upfront. We think, in the long run, that for companies to do this well, there will be continued investment, but obviously technology cost scales over time.

Shagrin: We think about the financial impact all the time. But that was probably seventh or eighth on the priority list. First and foremost for us is, will the audience like this? Is this going to be an engaging solution for our partners to deliver great content to their audience? If this can help them do that, then it’s something that we owe it to them to explore.

I’ve spoken with musicians over the years who are miffed at the algorithmification of playlists, which fuels this situation where a lot of the same big artists get picked by the same big playlists over and over again. And if you’re not on there, or unless your label’s doing payola, you’re not going to gain that distribution. With more systems like this in the radiosphere—which is still important to artists—what you would say to concerns about automated systems highlighting the same artists time and again?

Anstandig: There’s this sense that technology tends to amplify what it thinks is already popular. However, that all comes down to the complexity of the algorithm and the way the algo is built to serve a certain listener. I personally have been involved in it, not only at Futuri but in the music industry; I’ve published and written hundreds of songs. So I’m always concerned about how the algos are prioritizing or exposing different songs and artists to new audiences. What I can tell you is that I believe today there’s more opportunity for independent artists and non-label acts to find an audience than ever before. I think there used to be a paradigm that familiarity was the most important thing when it came to prioritizing what shows up in a playlist or in an algo. Now, there’s more nuance around what the audience really wants: Are there certain types of music and entertainment that are more appealing when they’re new or more novel?

Shagrin: Remember, the way RadioGPT works is that it’s hooked up to and synced with a radio station’s automation system. We can offer ideas, but they’re still dictating what is played when, and what that looks like. Local markets know more about their audience, and so they still dictate that, and they can still drive that.

Local news has been decimated in all markets, whether newspapers or radio shows or TV. There are all these attempts to try to revitalize it, including yours, it sounds like, where you scan social networks and news outlets for reports you can broadcast over the radio. But there can be a lot of misinformation or misleading news that spreads quickly, and that in turn can be picked up; I’m thinking about, say, the false reports that often surround a mass shooting. I’d love to hear what sorts of guardrails you have in mind to stanch that effect.

Anstandig: It’s always best to have a human in the studio when there’s a crisis. We’ve seen that in recent years with active shooter situations, local weather disasters. That being said, there are ways to surface information faster: looking at location-based data and combining that with niche publications, blogs, or traditional news outlets for verification. In the case of TopicPulse, even though we have over a decade of experience in social media monitoring and predictions and A.I.-powered discovery of stories, we still have a small human moderation team that observes what’s trending in the system, that looks into trends as they’re emerging in markets. Because we do recognize there’s a certain amount of assurance or accountability that comes with being on this side of media.

Shagrin: The active shooter situation is near to me. I have a daughter who goes to Michigan State, where I know you went to school. So I was living that shooting situation in real time through my phone, as she was texting me and seeing how the news was covering it.

One of the things we focus on is that what’s relevant in a local market and to an audience is not always breaking. Breaking news is a bit of a different business than we are in. We are trying to identify those stories that are trending, relevant, most engaging to an audience. By doing that, we reduce the risk of reporting something that was first put out there and was incorrect. I know there were lots of incorrect stories being reported as that was going on at Michigan State.

I did have MSU on the mind when asking that—I’m really glad your daughter’s OK.

Changing the subject: Since the late ’90s, a lot of local radio stations have been consolidated or shuttered. How can A.I. revitalize local news and targeted music curation even when the corporate structures of radio markets may not be best suited for local regions?

Anstandig: First, I’ll just say that A.I. is not inherently biased or dishonest. It’s trained by humans. So when we think about RadioGPT and TopicPulse and our technology, we are training it with a media mindset. We’re ensuring that it’s trained on diverse, high-quality data sources, that the information generated can ultimately stand up to the trade winds of media, and that we don’t expect that we’re the last stop when we deliver content or information to a newsroom or to a broadcaster. That we know there are humans to verify and fact-check and think about regulation and ethical guidelines.

I think A.I. is part of the future recipe for media growth. It is certainly a way that costs can be reduced in certain parts of the industry, but it’s also an incredible growth mechanism. Information can be personalized and localized at a level that very few newsrooms have the capacity for right now. As an example, if you’re covering the Los Angeles DMA, you have such a wide range of cultures and pockets of community to cover—from Orange County to West Hollywood to Long Beach to Downtown L.A. There are all very different groups of people with differing lifestyles, and news that matters in one area doesn’t necessarily matter in another. There are ways, using stream-stitching technology and other tools, to personalize and localize news in a way that matches the interests and the needs of a hyperlocal audience. There’s data analysis that can go into the formation of that content, prioritizing which types of topics or stories should be covered by different types of people on the team. There’s a lot of efficiency built in that elevates humans working in news to do what they do best, knowing that discovery and being able to surface content and information and emerging trends is more efficient for them.

When it comes to investigative reporting, I believe that that’s boots on the ground. Humans are still going to accomplish investigative reporting better than A.I., but A.I. is a heck of an assistant.

To take it back to music, when you look back at the history of radio, there’s often some quirky DJ personality taking out obscure records for listeners. With all these A.I. systems where you can personalize things—text and images and even music—is human curation dead?

Anstandig: No. I know there’s still a tremendous passion in broadcast radio to elevate new and local artists. There’s more of that in some markets than in others because the risk tolerance of placing emerging artists that are unfamiliar or unknown is just different in different-size markets.

But I think—between social media influencers who specialize in music, bloggers, YouTubers, Instagrammers—there are more creative pathways for a new artist or track to find the right platform and audience. I think that’s only going to continue to grow.

In that vein, do you think radio stations should look into hiring A.I.-attuned people, like prompt engineers or coders or basic fact-checkers/editors?

Anstandig: I believe that radio and TV, and media in general, should do what they do best and bring the human element and local influence to what, partnering with technologists who can provide the platforms and systems that help them to elevate their creativity, intuition, expertise. We’re not attempting to replace the human element that makes the sales process or the creative marketing process special, unique, effective. We’re simply providing data-driven insights to help an account or marketing executive be more effective about creating powerful campaigns.

I think that’s a perfect example of partnering the unique spark of a human with a unique spark of A.I. And I think there will be more of a combination. I don’t think broadcast radio companies necessarily need to suddenly turn into computer or data science hives and start building the next megamachine

Shagrin: There’s nothing magical about A.I. in itself. It’s only magical if it delivers something that the people want. Media companies—most businesses, frankly—should find a way to put the technology to use as a utility to deliver the results that they want. It doesn’t mean you have to be an expert in the guts of A.I.

In your respective views, what do you think is the best use case for RadioGPT, and what is the worst?

Anstandig: I think the best case is creating more entertaining, informative, live and local content for every radio station in the world, and attracting and retaining and entertaining audiences. The worst is completely replacing humans who mean so much to their communities and to their advertisers. But I think there’s so much more upside here than there is downside for everyone, especially the audience.

Shagrin: You know, I’m the CFO. Cutting costs is not where this is the best use case. This is about delivering great content.

Anstandig: I look forward to the day that A.I. and human shows are in real, direct competition with each other. I think it’ll raise the bar for broadcasters and air talent. It’ll be entertaining, and the listeners will win.

Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society.

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businessweekme · 6 years ago

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Companies Give Worker Training Another Try

A tight labour market forces businesses to spend more to develop their employees’ skills

Economists love worker training, but companies are often reluctant to provide it. The benefits of training can walk out the door if newly skilled workers are poached by a competitor. “I call it the ‘I drink your milkshake’ problem,” says Jake Schwartz, chief executive officer and co-founder of General Assembly, a computer-coding boot camp acquired this year by Switzerland-based staffing firm Adecco Group AG. In the years before the global financial crisis, companies steadily decreased training. The U.S. Census Bureau found that just 11 percent of workers received employer-sponsored training in 2008, down from 19 percent in 1996. When the financial crisis hit, throwing millions out of work, training seemed less important than ever: Why spend the money when you can pick up the skills you need from the bountiful ranks of the jobless?

Now, though, corporate attitudes appear to be shifting, albeit gradually. While the Census Bureau hasn’t reprised its count of employer-provided training since 2008, the Association for Talent Development, in a survey focused mainly on advanced economies, found that direct training expenditures rose from $1,081 per employee in 2009 (the first year of the survey) to $1,273 in 2016. The U.S. ranks near the top of the global heap, with 66 percent of workers receiving training from employers in the past year, according to the Organization for Economic Cooperation and Development (see chart).

Near-record-low unemployment is one big reason companies are recommiting to training. With a U.S. jobless rate of just 3.7 percent in September and more than 7 million unfilled positions as of August, employers can’t find the people they need in the ranks of the jobless, and luring them away from other employers has gotten prohibitively expensive in some cases. “Your choice is always make or buy. ‘Buy’ is steal somebody else’s worker, which requires higher wages,” says Anthony Carnevale, founder and director of Georgetown University’s Center on Education and the Workforce.

Fifty-five percent of U.S. employers surveyed by ManpowerGroup this year said they were providing additional training to cope with talent shortages, followed by 40 percent who said they were recruiting outside their traditional talent pool. Only 26 percent said they were offering higher salaries.

Rapidly changing job requirements also demand more training. Just a few years ago experts were predicting that computers and robots would soon make flesh-and-blood workers obsolete. Someday, perhaps, but for now the main effect of automation has been to force humans to develop new skills to work with intelligent machines, rather than for them. “All of a sudden you look up and you say, ‘Oh, we still do need workers,’ ” says Jacob Duritsky, vice president for strategy and research at Team NEO, an economic development organisation for northeastern Ohio.

Employers are discovering that becoming a learning organisation is a good way to fend off headhunters. Especially now, with change happening so quickly, workers will stick with a company that helps them continuously upgrade their skills, says Bill Priemer, CEO of Hyland Software Inc. in Westlake, Ohio. In a survey this year by LinkedIn Inc., 94 percent of employees said they would stay at a company longer if it invested in their career development.

That’s not to say all training is good. A lot of employers teach “tightly specified, highly standardised tasks” that will soon be taken over by computers, says John Hagel, co-chairman of the Center for the Edge, a unit of Deloitte LLP that researches business and technology. Hagel says companies should instead be drawing out employees’ “curiosity, imagination, creativity, emotional intelligence, social intelligence,” which are harder for machines to replicate.

There’s also a tussle over who should do the training: employers or schools. Community colleges are often willing to tailor curricula to employers’ needs, but even they balk at teaching specific tasks that will be useful to just one or two businesses. Executives, meanwhile, complain that the U.S. educational system is pumping out unqualified graduates. In a recent survey of OECD nations, U.S. millennials scored lower than their peers in 15 of 22 countries in literacy and were tied for last in numeracy and “problem solving in a technology-rich environment,” according to an analysis of the results by the Educational Testing Service. Employers often have to provide remedial training for entry-level workers in areas such as basic math.

Because worker training benefits the society as a whole, not just the individual employer, there’s an economic case that government should provide it directly or at least subsidise it. Yet in the U.S., public spending on labour markets (which includes unemployment benefits) has fallen from 0.8 percent of gross domestic product in 1985 to 0.3 percent in 2016, according to OECD data. In July, President Trump signed an executive order creating a Council of the American Worker and directing funds to apprenticeships and retraining for older workers without college degrees. On the other hand, the current administration sought—but failed to secure—a 40 percent cut in funding for the Workforce Innovation and Opportunity Act, the biggest federal worker retraining programme. Achieving the right balance between public and private is tricky. Thijs van Rens, an economist at Britain’s University of Warwick, says his research with colleague Roland Rathelot and others finds that public funding for training is largely a giveaway to employers. Singapore offers a model of how to combine the two. It subsidises qualifying companies that provide training through its new SkillsFuture initiative, but the grants don’t cover the full cost. That discourages companies from offering sham training just to get money from the government.

Anna Lim, the founder and majority owner of Soup Spoon Pte, which owns 30 restaurants in Singapore, says she had to have her instructors certified and her training results regularly audited to get SkillsFuture to pick up part of the tab. Does she worry that other companies that don’t train will free-ride on her investment? Not much. “In Singapore right now we have stopped thinking like that,” she says. “At the end of the day it’s about uplifting the skill set of the whole industry. We have to be broad-minded.” To upgrade the world’s workforce for the skills of the future, the ideal environment is what economists call a high-trust equilibrium: Each employer invests in training because it’s confident others will do likewise. We’re not quite there yet. Peter Coy

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onsitetechhub · 7 years ago

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quicktechweb · 7 years ago

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