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Second global AI safety summit faces tough questions, lower turnout

Second global AI safety summit faces tough questions, lower turnout

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Second global AI safety summit faces tough questions, lower turnout

 Last year, a who’s who of world leaders, corporate executives and academic experts gathered at Britain’s Bletchley Park for the world’s first global AI Safety Summit, hoping to reach consensus on the regulation of a technology some warned posed a threat to humanity.

Tesla mogul Elon Musk and OpenAI CEO Sam Altman rubbed shoulders with some of their fiercest critics, while China co-signed the “Bletchley Declaration” alongside the United States and others, signalling a willingness to cooperate despite mounting tensions with the West. 

Six months later, the second AI Safety Summit, a primarily virtual event co-hosted by Britain and South Korea, will take place as hype around artificial intelligence’s potential gives way to questions over its limitations.

“There are some radically different approaches…it will be difficult to move beyond what was agreed at Bletchley Park,” said Martha Bennett, a senior analyst at research and advisory firm Forrester, referring to the historic but necessarily broad agreement on AI safety.

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Thornier questions around the use of copyright material, data scarcity and environmental impact also look unlikely to attract such a star-studded congregation.

While organisers have trailered an event comparable to Bletchley, a number of its key attendees have turned down invitations to Seoul.

HYPE

As the first summit closed in November, British Prime Minister Rishi Sunak promised subsequent events would be held every six months so governments could keep tabs on the rapidly-developing technology.

Since then, attention has turned from existential risk to the resources needed to fuel AI’s development, such as the vast amount of data required to train large language models, and the electricity powering a growing number of data centres.

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“The policy discourse around AI has expanded to include other important concerns, such as market concentration and environmental impacts,” said Francine Bennett, interim director of the data and AI-focused Ada Lovelace Institute.

OpenAI CEO Altman has suggested the future of AI depends on an energy breakthrough. In February, the Wall Street Journal reported he was also seeking to raise as much as $7 trillion to boost the production of computer chips, a component currently in short supply.

But pinning the future of AI on scientific breakthroughs and lucrative financing efforts may not be the best move, experts warn.

“The failure of the technology to live up to the hype is inevitable,” said Professor Jack Stilgoe, an expert in technology policy at University College London.

“People will find surprising and creative uses for this technology, but that doesn’t mean the future is going to look how Elon Musk or Sam Altman imagine it.”

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Shares in tech giant Meta sank 13% last week after it announced it would double down on AI, although the pay-offs from big investments by Google and Microsoft were cheered by markets.

NO-SHOWS

The May 21-22 South Korea summit was always billed as a “mini summit” in anticipation of the next in-person gathering in Paris.

A virtual “leaders session” on day one, followed by an in-person meeting of technology ministers on day two, were explicitly designed to build on the legacy of Bletchley Park.

But far fewer leaders and ministers are set to attend, according to sources familiar with the matter, even with the French government postponing the next gathering to 2025.

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A spokesperson for the European Union did not rule out the bloc’s presence, but confirmed its chief tech regulators – Margrethe Vestager, Thierry Breton and Vera Jourova – would not be attending.

The U.S. Department of State confirmed it would send representatives to Seoul, but did not say who. The Canadian and Dutch governments said they would not be attending.

Brazil’s government said it was still considering its invitation, citing a clash with a G20 event the country is hosting the same week.

The Swiss government said Ambassador Benedikt Weschsler, head of digitalisation at the department of foreign affairs, would attend in-person.

“Nothing will ever live up to a first gathering of its kind,” said Linda Griffin, public policy lead at Mozilla, the organisation behind the Firefox web browser.

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“Getting international agreements is really hard, so it might take a few iterations of these events to find a rhythm.”
Griffin said there was no specific reason why Mozilla was not attending the Seoul summit but that it was focused on the Paris event.
Similarly, pioneering AI research unit Google DeepMind said it welcomed the summit, but declined to confirm its attendance.

Geoffrey Hinton, a former Google researcher and AI “godfather”, told Reuters he had declined an invitation to the event, citing an injury that made it difficult to fly.

A British government spokesperson said: “The AI Seoul Summit will build on the momentum of Bletchley Park to deliver further progress on AI safety, innovation and inclusivity, moving us all closer to a world where AI is improving our lives across the board.”

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Musk pushes plan for China data to power Tesla’s AI ambitions

Musk pushes plan for China data to power Tesla’s AI ambitions

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Musk pushes plan for China data to power Tesla's AI ambitions

Tesla is pushing ahead with plans to power the global development of its self-driving system with data from China that could be processed within the country, part of a strategic shift by Elon Musk, according to people with knowledge of the work.

As part of that effort, Tesla has been developing plans for a data center in China to train the algorithm needed for more fully autonomous vehicles, according to two people, who asked not to be named because the work remains private. 

Until recently, Tesla has focused on efforts to secure approval from Chinese regulators to transfer data generated by its EVs in China out of the country for its “Full Self Driving” (FSD) system, according to the two people and an additional person with knowledge of the matter.

It was not clear if Tesla would proceed with both options for handling self-driving data from China – data transfer and a local data center – or if it was developing parallel plans as a hedge.

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Tesla’s efforts underscore the speed of the electric vehicle maker’s pivot to bet on a breakthrough in AI at a time when EV demand has slowed and its competition has deepened.

Its push to make fuller use of data from vehicles in China to develop the automaker’s artificial intelligence for driving comes as the U.S. government has tried to clamp down on the transfer of AI technology from U.S. firms to China.

Tesla has not been able to offer the full version of FSD, which costs the equivalent of almost $9,000, in China.

A wider market for FSD in China would give a boost to the automaker’s revenue and profits at a time when both are getting squeezed by pressure from Chinese rivals such as BYD.

Setting up a data center in China for FSD development would require Tesla to work with a Chinese partner, two of the sources said. There is also a potential hardware-sourcing challenge.

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It has had talks with Nvidia about acquiring graphic processing units for a China data center, according to one of the people, who was briefed on the discussions. U.S. sanctions bar Nvidia and its partners from selling its most advanced chips in China.

Tesla’s campaign to make more use of data from China was kicked into high gear in a whirlwind trip by Musk to Beijing last month when he met with officials including Premier Li Qiang.

In his meeting with Li, Musk sought to smooth permissions for Tesla’s data transfer, two of the sources said. The potential of Tesla investing in a data center in China was also raised, they said.

Musk also discussed the possibility of Tesla licensing its FSD systems to Chinese EV makers, one person said. Musk had said in April Tesla was talking to another “major” automaker about licensing FSD without naming it.

China’s State Council Information Office did not respond to a request for comment.

THE CHINA EFFECT

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China, the world’s largest car market, has the biggest fleet of sensor-equipped cars capable of collecting data from congested cities with complicated traffic patterns, making data generated there valuable for automakers and AI providers.

Musk previously expressed opposition to a China-based data center, arguing that data transfer to the United States was the most efficient option, two people said.

Since 2021, Tesla has stored data collected by its Chinese EVs in Shanghai. Over that time, Tesla’s China team has been seeking approvals from Chinese regulators to transfer data out of the country, two people said.

Under a one-year pilot project, companies in Shanghai’s Lingang Area, where Tesla’s factory is located, will be allowed to transfer certain data without needing further security assessments, Reuters reported on Friday.

Some analysts see Musk as trying to make China a launchpad for self-driving in the same way Tesla’s 2019 bet on its Shanghai Gigafactory allowed it to break through as a mass-market electric vehicle maker.

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“It would definitely be a milestone for Tesla if it rolls out FSD in China and leverages the China data for algorithm training,” said Yale Zhang, managing director at Shanghai-based consultancy Automotive Foresight.

“China had played a key role in scaling up EV production for Tesla with the Shanghai factory. It would again serve a significant part in scaling up mass adoption of autonomous driving technologies,” he said.

Many industry experts expect it will take years before fully autonomous cars are commonplace, but predictions vary widely.

Driver-assistance features now offered in China are “level two” systems, meaning they require a driver ready to take over. Tesla’s FSD and its less-advanced options of Autopilot, are also level-two systems requiring attentive drivers.

More fully automated vehicle fleets operated by Baidu China’s biggest search engine operator, and Pony.ai, an autonomous driving startup, run in limited test zones.

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But China’s EV makers, including BYD, have made self-driving and advanced driver assist systems a priority. Mercedes and BMW have been granted licenses to test level-three systems that allow drivers to take their hands off the wheel and look away on a wider range of roads in China.

At least five automakers – Hyundai, Mazda, Toyota, Volkswagen, and Nissan- have approval to transfer some of their data out of China, but none of those approvals are for data to be used to train AI systems, according to lawyers, state media reports and analysts.

Penalties for violating data privacy laws that came into effect in China in 2021 are a major risk factor for data operations, groups representing foreign businesses in China say.

When asked about competition from Chinese EV makers during a call with investors after Tesla’s quarterly earnings last month, Musk said Tesla should be viewed more as an AI company.

He said he was confident Tesla’s FSD system would work “pretty well without modification in almost any market”. It would work better with “country-specific” training, Musk said.

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Reddit stock jumps after OpenAI partnership

Reddit stock jumps after OpenAI partnership

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Reddit stock jumps after OpenAI partnership

Shares of Reddit (RDDT.N) rose 14% on Friday, following a partnership with artificial intelligence firm OpenAI that is expected to draw in more users for the social media platform with AI-enhanced experience and attract more advertising revenue.

The stock was trading at $64.25 premarket, in touching distance of the highest closing price of $65.11 hit in late-March.
The partnership, announced on Thursday, allows Reddit to leverage OpenAI’s technology to build tools and features, and OpenAI’s ChatGPT platform to integrate Reddit’s content in a “real-time, structured” manner. OpenAI will also become an advertising partner for Reddit.

The pact delivers on Reddit’s “IPO promise of seizing opportunities to make more of AI, whether that’s deploying the tech on its platform to improve the user experience or feeding its content into AI language models,” said Russ Mould, investment director at AJ Bell.

Reddit, which primarily generates revenue from advertising, is seeking to diversify its income streams. In a February filing the company indicated its intent to explore new monetization channels, including offering creator tools and licensing its data to third parties.

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Reddit already has data licensing agreements with undisclosed parties that are projected to contribute at least $66.4 million in revenue this year. The license allows third parties to access, search, and analyze data on the platform.

With a daily active user count of more than 80 million, Reddit is considered a smaller player in the social media market. The company went public on the New York Stock Exchange on March 21. Its shares have gained 66% from their IPO price of $34 a piece.

The deal comes amidst a growing number of lawsuits against OpenAI, with firms alleging unauthorized use of their content for training large language models.

In recent months, OpenAI has also secured content licensing deals with several publishers, including the Associated Press and the Financial Times.

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EU demands clarity from Microsoft on AI risks in Bing

EU demands clarity from Microsoft on AI risks in Bing

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EU demands clarity from Microsoft on AI risks in Bing

The European Commission could fine Microsoft (MSFT.O), opens new tab if it doesn’t provide adequate information on risks stemming from generative AI features in search engine Bing by May 27.

The Commission said on Friday that it is worried about the dissemination of deep fakes and automated manipulation of services that can mislead voters.

It said it was stepping up enforcement actions on the matter, as it had not received a reply to a request for information sent on March 14.

If the deadline is not met, the commission could fine Bing up to 1% of its total annual income with periodic penalties of up to 5% of its average daily income.

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It can also fine the company if it provides incorrect or misleading information.

Tech companies are required to do more to tackle illegal and harmful content on their platforms under the European Union’s landmark Digital Services Act, which kicked in last year.

Generative AI is one of the risks identified by the commission for the integrity of electoral processes, in particular for the upcoming European Parliament elections in June.

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