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SUMMARY:CS Seminar Series: Normativity and the AI Alignment Problem
DESCRIPTION:Abstract\nThe alignment problem in AI is currently framed in a variety of ways: It is the challenge of building AI systems that do as their designers intend\, or as their users prefer\, or as would benefit society. In this talk Gillian Hadfield connects the AI alignment problem to the far more general problem of how humans organize cooperation societies. From the perspective of an economist and legal scholar\, alignment is the problem of how to organize society to maximize human well-being—however that is defined. Hadfield will argue that “solving” the AI alignment problem is better thought of as the problem of how to integrate AI systems\, especially agentic systems\, into our human normative systems. She will present results from collaborations with computer scientists that begin the study of how to build normatively competent AI systems—AI that can read and participate in human normative systems—and normative infrastructure that can support AI’s normative competence. \nZoom link >>
URL:https://www.cs.jhu.edu/event/cs-seminar-series-normativity-and-the-ai-alignment-problem/
LOCATION:Hackerman B-17
CATEGORIES:Seminars and Lectures
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