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In this episode of the AI in Healthcare and Life Sciences podcast, host Matthew DeMello speaks with John-Clark Levin, Fellow at the Yorktown Institute and researcher at Kurzweil Research, about the intersection of U.S. politics, AI development, and biosecurity. Levin outlines why the coming years may prove decisive for artificial general intelligence (AGI) and how political volatility under the current administration could directly impact AI safety and regulation. He explains the unique risks of authoritarian tendencies in shaping AI policy, particularly when it comes to epistemics—how governments decide what’s true and which advisors they trust. Want to share your AI adoption story with executive peers? Click emerj.com/ex2 for more information and to be a potential future guest on Emerj’s flagship’ AI in Business’ podcast! If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
3.8
44 ratings
In this episode of the AI in Healthcare and Life Sciences podcast, host Matthew DeMello speaks with John-Clark Levin, Fellow at the Yorktown Institute and researcher at Kurzweil Research, about the intersection of U.S. politics, AI development, and biosecurity. Levin outlines why the coming years may prove decisive for artificial general intelligence (AGI) and how political volatility under the current administration could directly impact AI safety and regulation. He explains the unique risks of authoritarian tendencies in shaping AI policy, particularly when it comes to epistemics—how governments decide what’s true and which advisors they trust. Want to share your AI adoption story with executive peers? Click emerj.com/ex2 for more information and to be a potential future guest on Emerj’s flagship’ AI in Business’ podcast! If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
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