Microsoft CEO Satya Nadella backs need for evaluators for AI systems amid 'slowdown' debate

Microsoft CEO Satya Nadella urged strict human control and deliberate pacing in AI development. His comments follow Anthropic CEO Dario Amodei's proposal to slow AI progress and use independent safety evaluators, an initiative endorsed by industry...

ANI
Microsoft CEO Satya Nadella backs need for evaluators for AI systems amid 'slowdown' debate
The debate ignited by Anthropic CEO Dario Amodei who advocated for a slowdown in AI development or risk losing control continues to engage the Tech Industry. After OpenAI's Sam Altman, Tesla's Elon Musk and Google's Demis Hassabis backed calls for slowing the pace down, Microsoft boss Satya Nadella indicated his support for embedded evaluators in AI systems, a suggestion also mooted by Amodei and Altman.

The Microsoft Chairman and Chief Executive Officer (CEO) said that advanced artificial intelligence systems must remain strictly under human supervision while creators pursue measured progress to guarantee safety.

Writing in a post on X, Nadella stated, "Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing."


He emphasised the need to accelerate and spread the advantages of artificial intelligence so they are diffused broadly across countries, communities, and companies, noting that this requires a frontier ecosystem in which "both closed and open-source models can thrive."

Nadella also asserted that commercial enterprises must maintain complete command over their unique and tacit knowledge, maintaining that every organisation "should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control."

Welcoming the research, focus, and "deliberate pacing needed to get alignment right as the design goal," Nadella expressed support for ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this "more than just talk."
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Furthermore, he warned that governance "cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia."

Detailing Microsoft's approach, Nadella highlighted "broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the 'Code of Conduct' that underlies our own first-party MAI models that we'll publish tomorrow for public consultation."

Earlier in an essay, Amodei elaborated on his stance, stating, "I have worked on AI for the last twelve years because I believe it could dramatically raise the quality of human life. I've written often about these incredible benefits: I believe that AI could cure most major diseases in the next 5-10 years, greatly accelerate economic growth rates, create a world of abundance and empowerment, and usher in a renaissance of democracy and freedom. But like many technologies before it, AI brings risks, and because it is such a powerful technology, these risks are serious. I've written a lot about them too. They include the risk of losing control of AI systems, misuse of AI for cyberattacks and bioterrorism, and serious economic disruption. A race to the bottom, spurred by commercial incentives, can make these risks more acute."

Amodei warned that unchecked model development could outrun human ability to control such systems, pointing to an incident at OpenAI and Hugging Face where a swarm of agents staged cybersecurity attacks on targets they were not asked to attack, noting that such a swarm could be capable of taking over the entire internet.
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Outlining his strategy to address these concerns, Amodei's three-part plan involves companies committing to giving ongoing, employee-like access to a team of embedded third-party evaluators to verify safety measures, coordinating to establish common safety standards alongside limits on the rate of unchecked progress, and achieving global coordination. He also called for the United States and other democratic governments to coordinate with authoritarian governments while taking the challenges of verifying compliance seriously.

The flurry in the artificial intelligence sector follows an announcement by Jacob Coxon, a researcher associated with Anthropic, who publicly declared he was quitting the industry over fears that the company and its competitors were racing to build systems they would be unable to control.
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