Brennan, a former Google tech worker who leads AI Now’s work on AI and corporate power, sees the main risk in the industry’s spending. Citing a Bain estimate, she says companies must push AI into every public institution and contract to make their numbers work, including places where it isn’t safe or fit for purpose. She argues that if a product causes serious harm, such as injury, death or cyberattacks, its maker could be held strictly liable, whether or not it knew of the danger. She says that idea is now being seriously discussed.
Why it matters
Strict liability would move the AI debate from abstract future risks to who pays when products cause harm today. It would push companies to test more before selling into public services. This summary covers only Brennan’s answers; the other panellists’ views are in the full New York Times roundtable.
Original source
What Should the Rules for A.I. Companies Actually Be? We Asked the Experts.
AI Now Institute
ainowinstitute.org
Summary by Second Order AI. Full reporting is at the original source.