Former OpenAI board members call for stricter AI regulations to ‘tame market forces’: ‘for the good of humanity’

Former board members OpenAI, Tasha McCauley AND Helena Tonerexpressed concerns about the lack of strict regulation in the AI ​​industry, suggesting that self-governance is not sufficient in the face of profit-driven pressures.

What happened: McCauley and Toner, who joined OpenAI’s board in 2018 and 2021, respectively, initially supported the company’s self-governance model. But they now argue that this approach is not robust enough to resist the temptation of profit incentives, a new opinion piece in The Economist finds.

Former board members drew attention to the resignation of OpenAI’s CEO, Sam Altmanlast November, attributing it to persistent patterns of behavior that they believe threaten management’s oversight of critical decisions and internal security measures.

They also expressed concern about Altman’s return to the company and the departure of senior security staff.

See also: Elon Musk Uses Grok to Throw Shade at Google’s Clumsy AI-Powered Search Engine: ‘How Many Stones Should I Eat a Day?’

They stressed the need for governments to develop an effective regulatory framework for AI, arguing against exclusive control of AI development by private technology companies. McCauley and Toner also cautioned against minimal government regulation of artificial intelligence, drawing comparisons to the laissez-faire approach to the Internet in the 1990s.

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Why is this important?: The concerns expressed by McCauley and Toner have their roots in a series of events at OpenAI.

It is worth adding that Altman, the head of Tesla Inc Elon MuskAND Alfabet sp. CEO Sundar Pichai all expressed the same opinion on this, calling AI “too important not to regulate it well.”

Earlier this month, the Senate Majority Leader Chuck Schumer (DN.Y.) announced plans to introduce a legislative roadmap to regulate artificial intelligence in the US

The European Union has also taken a proactive approach to tackling this issue, introducing the world’s first AI regulation with built-in compliance triggers designed to penalize “unacceptable risks.”

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Reservation: This content was produced in part by Benzinga Neuro and reviewed and published by Benzinga editors.

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