Inside AI Policy

June 15, 2024

Mercatus fellow highlights real safety risks from bipartisan Senate effort to regulate AI

By Mariam Baksh / June 6, 2024

Leading approaches to regulating the development and deployment of frontier artificial intelligence models are based on hypothetical risks and threaten innovation while handicapping already meager defenses against actual attacks powered by the technology, according to a researcher from George Mason University’s free market think tank.

“AI systems are digital systems. Digital systems can be hacked,” Matt Mittlesteadt told Inside AI Policy. “While concerns over [weapons of mass destruction] are theoretical, this is a guaranteed fact.”

Mittlesteadt, who is a research...

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