Machine Learning Street Talk (MLST) cover image

Machine Learning Street Talk (MLST)

#99 - CARLA CREMER & IGOR KRAWCZUK - X-Risk, Governance, Effective Altruism

Feb 5, 2023
Carla Cremer, a doctoral student at Oxford, and Igor Krawczuk, a researcher at EPFL, dive into the intricate world of AI risk and governance. They argue that AI risks are deeply rooted in traditional political issues, advocating for democratic approaches in risk assessment. Their discussion tackles the Effective Altruism movement's paradoxes, highlighting the need for institutional accountability. They emphasize the importance of transparency in AI tools and call for diverse perspectives in decision-making to navigate the complexities of governance and societal impact.
01:39:45

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