Harvard Kennedy School of Government professor and former Council of Economic Advisers Chairman Jason Furman joins Catalysts to share his perspective on AI regulation under the incoming Trump administration, discussing technological governance and societal adaptation. "The goal of the regulation should be to get more AI. This is not something we should be afraid of. We should be afraid of not having enough of it to give us the innovation we need for education, for wages, for medical research, etc.," he tells Yahoo Finance. Furman advocates for a decentralized approach to AI oversight, believing there shouldn’t be a single overarching AI regulator. Instead, he recommends that each sector have well-informed professionals who can assess specific safety risks and potential benefits unique to their domain. Addressing the broader societal implications, Furman acknowledges the challenges of AI-driven job displacement. However, he proposes proactive solutions to mitigate potential economic disruptions. "So it’s non-AI solutions to that challenge that’s created by AI," he suggests, recommending strategies such as new training programs, targeted education initiatives, and potential tax benefits for individuals impacted by this technology.
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