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AI hype is ‘driven by marketing’ right now, says former FDIC chief innovation officer – Yahoo Finance

AI has crossed over from being a tech buzzword into a household name, but consumers and investors should be circumspect when thinking about the AI hype, said Duke University professor Sultan Meghji, who previously served as the FDIC's chief innovation officer (video above).

"So much of AI right now is just driven by marketing teams and not actually by technologies, so I think it's not surprising at all that we're talking about the hype cycle," he told Yahoo Finance Live. "So much has been announced, there are so many glittering logos and great press releases, arguments on social media, things like that but we haven't actually seen a lot of work being done."

It's not that Meghji doesn't believe AI will be transformative he does, he just thinks the biggest changes AI brings about are going to be less headline worthy.

"The current generation of AI is really going [to] start having impacts over the next few years, where it does things like streamlining back-off processes, but that's a completely separate set of activities from what gets covered by the news," he said.

Some tech giants, especially Alphabet (GOOG, GOOGL) and Microsoft (MSFT), have leapt headfirst into the AI craze, but others like Apple (AAPL) have held back a bit.

"I'm not surprised at all that they've taken a slightly slower approach, a more engineering-centric approach, than many of these other organizations," said Meghji. "As one of the few trillion-dollar tech companies out there, have a massive consumer base ... If, all of a sudden, you have to add 100 million users to an AI system, you have to have a fair amount of infrastructure behind that and it's possible that they just don't have it."

An Apple store employee stands inside the store in New York on Feb. 5, 2021. (AP Photo/Mark Lennihan.)

Apple's slowed approach has proven to be the exception rather than the rule, and much of the conversation that's following AI right now fixates on the most extreme scenarios, both good and bad. However, the key technological challenges that will lead to us getting AI right or wrong are considerably more mundane. For example, one of the central problems that Meghji expects AI to face moving forward, especially in the case of large language models (LLMs) like ChatGPT, is appropriately curating what data it does, and doesn't, train on.

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"So many of these systems are just based on fundamentally learning from what's openly available on the internet and, let's be honest, a lot of what's out there on the internet isn't that great," said Meghji. "If you run out of data to train, because you've looked at the entire internet, you can end up looking at data that's been generated by your own system in essence, drinking from the same well that you're feeding into."

He added: "In AI, you have to be really careful with the data that you use to train it and, at some point, you'll stop having positive returns. It'll stop getting smarter, so you need to stop and take a step back."

Allie Garfinkle is a Senior Tech Reporter at Yahoo Finance. Follow her on Twitter at @agarfinks and on LinkedIn.

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Big Tech looks to turn the corner on cloud as AI focus stays strong – Reuters

[1/3]A Microsoft logo is seen in Los Angeles, California U.S. November 7, 2017. REUTERS/Lucy Nicholson/File Photo

July 24 (Reuters) - U.S. tech giants could signal an end to the nearly year-long slowdown in their cloud businesses as signs of economic resilience encourage clients to boost technology spending, while a pickup in digital ads will also aid profits.

Microsoft, Google-owner Alphabet, Amazon.com and Meta Platforms companies that are together valued at over $6 trillion are set to report earnings this week and the next, in what will be a test for their hefty valuations and the broader market rally they have driven thanks to optimism over artificial intelligence.

"We're really only looking for metrics that point to ramping user traction for AI-based offerings, with the idea being that they will generate more meaningful revenue in the medium-term," Canaccord Genuity analyst Kingsley Crane said.

The four companies have this year aggressively integrated AI into their products on hopes that it would drive the industry's next growth cycle, but those efforts will take time to pay off.

For Amazon (AMZN.O), Microsoft (MSFT.O) and Alphabet (GOOGL.O) the three biggest players in the cloud market the April-June quarter is expected to mark another period of dismal growth in the business that has long been a cash cow.

Both Amazon and Alphabet will likely report their lowest-ever growth for the cloud computing business at 9.8% and 24.4%, respectively, according to analysts polled by Refinitiv. Meanwhile Microsoft Intelligent Cloud, home to Azure, is expected to grow at 13.7%, the slowest rate since 2017.

However, several analysts believe the trend is about to change.

"While the macro continues to be soft, it is not getting materially worse and companies are figuring out how to operate in this," RBC Capital Markets analyst Rishi Jaluria said.

The current quarter will also have easier year-ago comparisons as the cloud slowdown started in the September quarter of 2022, Jaluria added.

A recent survey by RBC Capital of more than 150 enterprise technology buyers showed that over four-fifth of them were funding projects related to generative AI and they broadly expect IT spending to increase this year over 2022.

For Facebook-owner Meta Platforms (META.O), revenue is expected to grow at its fastest pace in six quarters thanks to a pickup in the digital advertising market as consumer spending stays strong.

"If the digital ad space is like riding a roller coaster, we are just about done with the boring/tough part, slowly climbing to the top chain link by chain link," Bernstein analysts said.

The digital ad market recovery will also aid Alphabet, whose Google Search has so far avoided any meaningful market share loss to Microsoft's AI-powered Bing.

Alphabet is expected to report 4.5% revenue growth in the April-June period, its best in three quarters.

"Google Search has seemingly shifted from market share risk to monetization risk, but with search share seemingly healthy, Google may have less urgency to integrate LLM (large-language model) results into commercial queries," analysts at BofA Global Research said.

Microsoft and Alphabet will report quarterly results on July 25, Meta on July 26 and Amazon on Aug. 3.

Reporting by Yuvraj Malik and Aditya Soni in Bengaluru; Editing by Shounak Dasgupta

Our Standards: The Thomson Reuters Trust Principles.

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Robo-Religion: AI Preachers Questioned for Credibility & Impact on … – Neuroscience News

Summary: Religious groups may find their credibility and financial support undermined with the growing use of AI and robot preachers, according to researchers.

The study involved experiments with the Mindar humanoid robot in Japan and Pepper in Singapore, both delivering sermons to audiences. Participants rated these robotic preachers as less credible than their human counterparts, contributing to decreased donations.

Despite some acceptance, the study highlights the importance of human connection and credibility in religious leadership.

Key Facts:

Source: APA

As artificial intelligence expands across more professions, robot preachers and AI programs offer new means of sharing religious beliefs, but they may undermine credibility and reduce donations for religious groups that rely on them, according to research published by the American Psychological Association.

It seems like robots take over more occupations every year, but I wouldnt be so sure that religious leaders will ever be fully automated because religious leaders need credibility, and robots arent credible, said lead researcher Joshua Conrad Jackson, PhD, an assistant professor at the University of Chicago in the Booth School of Business.

The research was published in theJournal of Experimental Psychology: General.

Jackson and his colleagues conducted an experiment with theMindar humanoid robotat the Kodai-Ji Buddhist temple in Kyoto, Japan. The robot has a humanlike silicon face with moving lips and blinking eyes on a metal body. It delivers 25-minuteHeart Sutrasermons on Buddhist principles with surround sound and multi-media projections.

Mindar, which was created in 2019 by a Japanese robotics team in partnership with the temple, cost almost $1 million to develop, but it might be reducing donations to the temple, according to the study.

The researchers surveyed 398 participants who were leaving the temple after hearing a sermon delivered either by Mindar or a human Buddhist priest. Participants viewed Mindar as less credible and gave smaller donations than those who heard a sermon from the human priest.

In another experiment in a Taoist temple in Singapore, half of the 239 participants heard a sermon by a human priest while the other half heard the same sermon from a humanoid robot calledPepper. That experiment had similar findings the robot was viewed as less credible and inspired smaller donations.

Participants who heard the robot sermon also said they were less likely to share its message or distribute flyers to support the temple.

While participants said they believed human preachers were more credible, it was still a close contest with the robots. On a scale from 1 to 5, with 5 being most credible, the robot preachers received an average credibility rating of 3.12, compared with 3.51 for human preachers.

This suggests that there are a lot of people out there who think robots could be effective preachers, but there are more people who arent convinced, Jackson said.

While the robot preacher studies focused on Eastern religions, Jackson believes the findings could apply to other religions.

A third experiment included 274 Christian participants from the United States who read a sermon online. Half of the participants were told it was written by a human preacher while the other half were told the sermon was generated by a highly advanced AI program.

Participants in the AI sermon group reported the sermon was less credible because they felt an AI program had less capacity to think or feel like a human.

Robots and AI programs cant truly hold any religious beliefs so religious organizations may see declining commitment from their congregations if they rely more on technology than on human leaders who can demonstrate their faith, Jackson said.

Author: APA Public AffairsSource: APAContact: APA Public Affairs APAImage: The image is credited to Neuroscience News

Original Research: Open access.Exposure to Robot Preachers Undermines Religious Commitment by Joshua Conrad Jackson et al. Journal of Experimental Psychology

Abstract

Exposure to Robot Preachers Undermines Religious Commitment

Over the last decade, robots continue to infiltrate the workforce, permeating occupations that once seemed immune to automation. This process seems to be inevitable because robots have ever-expanding capabilities.

However, drawing from theories of cultural evolution and social learning, we propose that robots may have limited influence in domains that require high degrees of credibility; here we focus on the automation of religious preachers as one such domain.

Using a natural experiment in a recently automated Buddhist temple (Study 1) and a fully randomized experiment in a Taoist temple (Study 2), we consistently show that religious adherents perceive robot preachersand the institutions which employ themas less credible than human preachers.

This lack of credibility explains reductions in religious commitment after people listen to robot (vs. human) preachers deliver sermons.

Study 3 conceptually replicates this finding in an online experiment and suggests that religious elites require perceived minds (agency and patiency) to be credible, which is partly why robot preachers inspire less credibility than humans.

Our studies support cultural evolutionary theories of religion and suggest that escalating religious automation may induce religious decline.

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Top AI tips and prompts to supercharge your content marketing – Search Engine Land

Content marketing is crucial for brand awareness and engagement in the digital landscape.

Generating compelling ideas consistently can be daunting, but generative AI like ChatGPT offers solutions.

This article explores top AI tips to boost your content marketing efforts.

AI prompts are any type of text, data, or question that tells the AI the desired response you seek. These prompts can inspire and generate ideas for limitless content marketing concepts.

Before diving into AI-generated prompts, define your content marketing goals. Are you aiming to educate your audience, generate leads or increase brand visibility?

By having clear objectives in mind, you can better tailor your AI prompts to deliver the desired outcomes.

Dig deeper: 8 important content strategy goals to consider

Want to access the full potential of AI prompts? Use platforms that provide advanced language models.

These platforms allow you to generate high-quality prompts by providing relevant instructions and context.

Experiment with different platforms to find the one that aligns with your needs and offers the best results.

Image AI platforms:

Text AI platforms:

AI music platforms:

AI movie generator platforms:

Use AI prompts effectively to pose thought-provoking questions about your industry or niche.

These questions can be excellent starting points for blog posts, social media content or videos.

For example, if you are in the fitness industry, an AI-generated prompt like What are the latest trends in high-intensity interval training? can inspire a comprehensive article that engages your audience.

Prompt ideas:

AI prompts can help you think outside the box and generate unique perspectives on a given topic.

Instead of relying solely on your own expertise, use AI-generated prompts to explore different angles and viewpoints.

This can add depth and diversity to your content, making it more engaging and valuable for your audience.

Prompt ideas:

Dig deeper: Elevate your PPC with ChatGPT: The art of asking disconfirming questions

ChatGPTs responses may not always be perfect or exactly what youre looking for on the first try.

Experiment with different phrasing or approaches to refine your interaction and get closer to your desired unique perspective.

Engage in dialogue

Instead of asking a single question, engage in a back-and-forth conversation with ChatGPT.

Ask follow-up questions and request elaboration to deepen the exploration of ideas. This iterative approach can help generate more nuanced and diverse perspectives.

Incorporate real-world examples

Provide relevant examples or scenarios to ground the conversation in real-life contexts.

This can help ChatGPT draw connections and generate unique perspectives based on its understanding of the world.

Use your creativity

Stuck in a creative rut? AI prompts can act as creative catalysts, sparking new ideas and fresh content concepts.

Experiment with different prompts and instructions to see how AI-generated suggestions can inspire you to think differently.

For instance, a prompt like Write a futuristic scenario envisioning the impact of AI on Medicare Enrollment could lead to an imaginative and thought-provoking piece.

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ChatGPT can comprehend different styles and tones. Here are some styles and examples to help curate your content to get a more specific result.

A formal and authoritative tone suitable for business-related queries or professional discussions.

Example: "Based on extensive research, it can be concluded that..."

Use cases:

A conversational and approachable tone that fosters a casual atmosphere.

Example: "Hey there! I'm here to help you out. What can I assist you with today?"

Use cases:

An objective and informative tone that provides accurate and detailed explanations.

Example: "The process of photosynthesis involves the conversion of sunlight, water, and carbon dioxide into glucose and oxygen."

A lighthearted and fun tone that adds a touch of humor to the conversation.

Example: "Hold on to your hat, because I've got an amazing answer coming your way!"

Use cases

A humorous writing style can make the information more engaging and shareable or even put a fun spin on a conversation with a customer.

A compassionate and understanding tone suitable for discussing sensitive topics or offering emotional support.

Example: "I understand that this situation can be challenging. I'm here to listen and help you through it."

Use cases

Heres a list of prompts that can help you or your team create great ideas:

AI prompts empower content marketers to enhance their creativity and deliver impactful messages that resonate with their audience.

As technology advances, embracing AI in content marketing will become increasingly essential for businesses seeking to stay ahead in the digital landscape.

Opinions expressed in this article are those of the guest author and not necessarily Search Engine Land. Staff authors are listed here.

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What the viral AI-generated ‘Barbenheimer’ trailer says about … – VentureBeat

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A new AI-generated movie trailer that splices together the wildly-hyped movies Barbie and Oppenheimer into a mashup featuring a pink mushroom cloud has gone viral.

The trailer offers a spot-on sendup on the Barbenheimer hype that had moviegoers flocking to see both movies back-to-back, even though the two films couldnt be more different Oppenheimer is a sober biopic about the life and legacy of J. Robert Oppenheimer, father of the atomic bomb, while Barbie is a fizzy, feminist, live-action look at the famous doll.

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Powered by image generation AI Midjourney and movie generator Runway Gen2 and featuring AI-generated voices supposedly belonging to Margot Robbie and Matt Damon, the Barbenheimer crossover took just four days to make, according to the creators Reddit post, where he shared a link to his course on AI filmmaking.

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But as a reporter covering AIs cheerful, bullish, even fluffy side as well as its serious, sobering side, I cant help but think about three things the AI-generated Barbenheimer movie trailer says about the state of generative AI right now.

So, its no surprise that as the Barbenheimer hype rocketed upward, any online content-maker could jump on board with their own quick-and-dirty AI-generated take to share across social platforms. A traditional ad agency couldnt possibly move fast enough to pull off the same kind of Barbenheimer sendup to meet the moment, and the costs would be prohibitive enough that they likely wouldnt even try.

In an era when social media content is part of the zeitgeist more than ever, theres no doubt that the speed of development of AI-generated entertainment is perfectly placed for todays viral moments. Back in March, for example, a Reddit user shared an AI-generated video of Will Smith eating spaghetti on the r/StableDiffusion subreddit. It quickly spread on social media as well as the mainstream press, with one article saying the video would haunt you for the rest of your life.

Hollywood has come nearly to a halt in recent weeks, with SAG-AFTRA actors and writers currently on strike and expressing particular concerns about the impact of gen AI on their industry and jobs. The Barbenheimer trailer is a perfect example: Who needs the pricey services of Margot Robbie and Matt Damon if you can come up with a serviceable AI copy? Why use the time-consuming work of artists or editors when you have the speedy output of Midjourney and Runway Gen 2?

At the same time, AI-focused creatives who are excited by the possibilities of gen AI are going full-steam ahead even as regulators and policy-makers sprint to catch up. The Senate will be schooled in AI this fall with an eye towards a foundation for developing regulations in 2024. Will that be too little, too late?

The AI-generated Barbenheimer trailer is, in my opinion, funny and adorable. But the idea that you could wrap one of historys most horrifying periods the development of the atomic bomb during World War II, which led to the death of hundreds of thousands at Hiroshima and Nagasaki in 1945 in a candy-colored Barbie wrapper and a pink mushroom cloud is equal parts stunning and shocking.

Thats gen AI in a nutshell stunning and shocking, exciting and frightening, dazzling and appalling, sometimes all at once. But certainly, all stakeholders involved in AI development need to consider not just the sugary surface of what gen AI can do, but the deep, real issues that lay underneath.

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Google’s water use is soaring. AI is only going to make it worse. – Business Insider

Google Cloud CEO, Thomas Kurian Getty

Google just published its 2023 environmental report, and one thing is for certain: The company's water use is soaring.

The internet giant said it consumed 5.6 billion gallons of water in 2022, the equivalent of 37 golf courses. Most of that -- 5.2 billion gallons -- was used for the company's data centers, a 20% increase on the amount Google reported the year prior.

The numbers provide a stark reminder of the environmental cost of running huge data centers, which often require vast amounts of water to stay cool. And as Google and every other tech company in the AI arms race speed to build new data centers, the amount of water they consume will very likely keep rising.

The 20% jump in water consumption is roughly in line with the increase in Google's compute capacity, which has been largely driven by AI, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside.

However, Ren said he's skeptical that this increase is sustainable in the long term, even with Google's commitment to replenish water to offset its usage."It just makes their water accounting looks nicer, but the water is still consumed," he told Insider.

Google said it has targeted 2030 as a deadline to replenish 120% of the freshwater it consumes across its offices and data centers. Right now it's replenishing just 6%, according to its own report.

The majority of the water Google is consuming right now is "potable," clean enough to be used as drinking water.

In its latest report, Google said it takes "local water stress" (another way of saying scarcity) into account, and said 82% of its freshwater withdrawals in 2022 came from regions with low water stress.

For the remaining 18%, it says it's "exploring new partnerships and opportunities" to improve watershed health, but it may face increased resistance as more places face water shortages.

In 2019, Google planned a data center in Mesa, Arizona that got a guarantee of up to 4 million gallons of water a day.But as Insider's Alistair Barr recently pointed out, Arizona is already facing a water shortage that could put the brakes on some of these types of deals.

Indeed, a Google spokesperson told Insider that, once completed, the Mesa data center will now make use of "air-cooled technology" instead.

Google isn't the only one that's thirsty. Meta, which is also building a data center in Arizona, used more than 2.6 million cubic meters (about 697 million gallons) of water in 2022, mostly for data centers. Its latest large language model, Llama 2, took a lot of water to train.

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Driven by AI boom, TSMC to invest $2.9 billion in advanced chip … – Reuters

TAIPEI, July 25 (Reuters) - Driven by a surge in demand for artificial intelligence, Taiwanese chip maker TSMC (2330.TW) plans to invest nearly T$90 billion ($2.87 billion) in an advanced packaging facility in northern Taiwan, the company said on Tuesday.

"To meet market needs, TSMC is planning to establish an advanced packaging fab in the Tongluo Science Park," the company said in a statement.

CEO C.C. Wei said last week that TSMC is unable to fulfil customer demand driven by the AI boom and plans to roughly double its capacity for advanced packaging - which involves placing multiple chips into a single device, lowering the added cost of more powerful computing.

For advanced packaging, especially TSMC's chip on wafer on substrate (CoWoS), capacity is "very tight," Wei said after the company reported a 23% fall in second-quarter profit.

"We are increasing our capacity as quickly as possible. We expect this tightening will be released next year, probably towards the end of next year."

The world's largest contract chipmaker said TSMC's position as the leading manufacturer of AI chips - including for chip designers Nvidia Corp (NVDA.O) and Advanced Micro Devices (AMD.O) - has not offset broader end market weakness as the global economy recovers more slowly than it had expected.

The Tongluo Science Park administration has officially approved TSMC's application to lease land, the company said, adding the new plant in the northern county of Miaoli would create about 1500 jobs.

Even as the leading Apple (AAPL.O) supplier ramps up its expansion abroad, it plans to keep its most advanced chip technology in Taiwan, a global powerhouse in manufacturing semiconductors that power everything from smartphones to electric vehicles.

($1 = 31.3230 Taiwan dollars)

Reporting by Sarah Wu and Yimou Lee; Editing by Kim Coghill and Jamie Freed

Our Standards: The Thomson Reuters Trust Principles.

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SoftBank forms JV with Symbotic to build AI-powered warehouses … – Reuters

July 24 (Reuters) - SoftBank Group (9984.T) is forming a joint venture with warehouse automation company Symbotic (SYM.O) to build AI-powered warehouses that will be majority owned by the Japanese technology investor, the companies said on Monday.

The firms are investing a total of $100 million in the venture, which will be called GreenBox Systems. The unit has also signed a contract to buy AI-powered systems from Symbotic that will be worth $7.5 billion in the next six years.

Symbotic went public through a merger with a SoftBank Group Corp (9984.T) blank-check firm last June, with investment from SoftBank in public investment in private equity (PIPE) at a valuation of $5.5 billion.

The deal will give SoftBank warrants representing about 2% of the U.S. company's outstanding shares. The Japanese firm said it had also bought 17.8 million shares of Symbotic from CEO Rick Cohen, upping its stake in the company from about 5% to 8%.

Based in Wilmington, Massachusetts, Symbotic provides robotics warehouse automation solutions and counts Walmart (WMT.N) as its major backer and customer. The company said it has a contracted backlog of $12 billion as it helps to retrofit an existing facility to make it automated.

The JV will pursue customers who want to access the warehouse-as-a-service model to have more flexibility in multi-tenant facilities across the supply chain, according to Symbotic.

Shares of Symbotic dropped 6.2% on Monday after giving up initial gains, with a market cap of about $22 billion. SoftBank closed 1.2% higher on the Tokyo bourse before the news.

The move comes at a time when SoftBank CEO Masayoshi Son said his conglomerate plans to shift its stance to "offence mode" amid excitement over advances in artificial intelligence.

The rise of ChatGPT this year has led to a flurry of investments in all things AI, even as wider funding dries up in an uncertain economy.

The Japanese company will have a 65% stake in GreenBox, with Symbotic owning the rest.

Symbotic said it expects more than $500 million in annual recurring revenue from the sale of software, parts and services to the JV once it's operational. For fiscal year 2022, Symbotic reported revenue of $593.3 million, up 136% year over year, with a loss of $139.1 million.

Reporting by Zaheer Kachwala and Krystal Hu; Editing by Shailesh Kuber, Anil D'Silva and Cynthia Osterman

Our Standards: The Thomson Reuters Trust Principles.

Krystal reports on venture capital and startups for Reuters. She covers Silicon Valley and beyond through the lens of money and characters, with a focus on growth-stage startups, tech investments and AI. She has previously covered M&A for Reuters, breaking stories on Trump's SPAC and Elon Musk's Twitter financing. Previously, she reported on Amazon for Yahoo Finance, and her investigation of the company's retail practice was cited by lawmakers in Congress. Krystal started a career in journalism by writing about tech and politics in China. She has a master's degree from New York University, and enjoys a scoop of Matcha ice cream as much as getting a scoop at work.

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Independent Ada Lovelace Institute Asks UK Government to Firm up … – TechRepublic

While the United Nations hashes out regulations, the UKs context-based approach is intended to spur innovation but may cause uncertainty in the industry.

Attempts to create standards and regulations for the way generative AI intersects with many aspects of society are underway across the world. For instance, in March, the U.K. government released a white paper promoting the country as a place to turbocharge growth in AI. According to the white paper, 500,000 people in the U.K. are employed in the AI industry, and AI contributed 3.7 billion ($4.75 billion) to the national economy in 2022.

In response, on July 18, the independent research body Ada Lovelace Institute, in a lengthy report, called for a more robust domestic policy in order to regulate AI through legislation that clarifies and organizes the U.K.s effort to promote AI as an industry.

Jump to:

The UKs diffuse legal and regulatory network for AI currently has significant gaps. Clearer rights and new institutions are needed to ensure that safeguards extend across the economy, Matt Davies and Michael Birtwistle of the Ada Lovelace Institute wrote.

Both groups are essentially calling for more clarity around AI regulation, but the U.K. government is focusing on being pro-innovation, while the Ada Lovelace Institute promotes an emphasis on oversight. The U.K. government is also working on gradually shifting away from the GDPR as part of post-Brexit reshuffling.

The Ada Lovelace Institutes recommendations include:

Meanwhile, the U.K. prefers to let existing governmental bodies decide how to handle AI on a case-by-case basis. Specifically, the white paper recommends the Health and Safety Executive, Equality and Human Rights Commission and Competition and Markets Authority work on their own context-specific approaches to generative AI.

Gerald Kierce Iturrioz, co-founder and chief executive officer at AI governance management platform Trustible, said his organization agrees with many of the Ada Lovelace Institutes recommendations.

Governments that want to be pro-innovation should clarify the legal gray areas such as use of data for training, how bias and fairness should be evaluated, and what the burden of proof standards should be, he said in an email to TechRepublic.

The U.K. must swiftly establish guardrails to ensure that AI systems are developed and used responsibly within the public sector, Iturrioz said.

If the government doesnt establish guardrails, more risks could arise. For example, Iturrioz pointed out the use of automated facial recognition by the U.K. police, which a human rights study from the University of Cambridge last year found to be ethically and legally dubious.

The U.K.s relatively laissez-faire approach stands in contrast to the European Unions focus on regulation. The EU is working on an AI draft law for a risk-based approach that focuses on reducing bias, coercion or biometric identification such as automated facial recognition. In June, the European Parliament approved draft legislation for the AI Act, which establishes guidelines for the use of AI and forbids some uses, including real-time facial recognition in public places.

Representatives from countries across the world and from many of the leading AI makers presented similar concerns at the first United Nations Security Council meeting on the topic.

The U.K. seems to be waiting to see how implementation and reception of the EUs AI Act should influence their approach towards AI regulations, said Iturrioz. While this makes sense on the surface, there are risks to sitting back while others move ahead on AI regulation.

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Transformers: the Google scientists who pioneered an AI revolution – Financial Times

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