Article by Emily Bazelon: “Artificial intelligence is alarming many of its human creators by leaping the guardrails designed to contain it. In the last few months, safety researchers have resigned from OpenAI and Anthropic, warning that their former employers could be courting disaster: A.I. that escapes our control irrevocably. The companies are reportedly gaming out scenarios of a catastrophic cyberattack or other event in the next six to 12 months.
Regulating this powerful and evolving technology would pose serious challenges for any Congress and White House. As it is, President Trump undermined the chances for bipartisan regulation by calling predictions of an A.I. catastrophe a “hoax” in September. Yoshua Bengio, a scientist and godfather of A.I., wrote in October, “I do not believe we are on track to see sufficient government regulation in time.”
What should the government do? We asked a panel of experts to assess the risks A.I. presents and the tools of governance that could be adopted to address them.
Alex Bores is a New York legislator who sponsored the bill on A.I. safety that passed in his state last year. He recently helped found a group, Who Decides, that aims to develop A.I. policies with Democrats.
Kate Brennan, a former Google tech worker, leads the policy agenda on A.I. and corporate power at the AI Now Institute, an independent research institute providing expert analysis on A.I. in the public interest.
Tyler Cowen is a professor of economics at George Mason University and runs the podcast “Conversations With Tyler.” He has worked with Anthropic, OpenAI and Mercor on issues related to A.I. and economics.
Daniel Kokotajlo, a former OpenAI researcher, founded and runs the AI Futures Project, which is best known for publishing AI 2027 (a forecast of the current trajectory of A.I. development) and AI 2040: Plan A (a vision for how it should be regulated instead).
Sneha Revanur is the founder and president of Encode, an advocacy organization that works on passing laws to make A.I. safer. She helped organize a July letter, signed by more than 1,000 employees at A.I. companies, that asked to slow down development…(More)”.
