Public AI Seminar (unlisted)

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artificial intelligence computers and society

Harvard University / Metagov

Audience:	Researchers in the topic
Seminar series time:	Tuesday 15:00-17:00 in your time zone, UTC
Organizers:	Joshua Tan*, SJ Klein, Alex Krasodomski, Nick Garcia
	*contact for this listing

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The seminar has two parallel objectives:

1. To develop a body of research, ideas, and tools to support the development of public AI and other forms of public interest AI. We especially want to support additional writing on the topic. We plan to organize the outputs from the seminar into a special collection, to be published by a university press.

2. To foster an intellectual community capable of describing, guiding, and implementing public AI and other forms of public interest AI. The new community will include scholars and practitioners from a variety of fields including politics, public policy, computer science, law, economics, political science, history, and business.

Over the course of the seminar, we will consider different models of public AI, lessons from both history and from AI, general theories of public investment and of regulation, as well as many different arguments for and against public AI. Four themes will guide our considerations: public benefit, public accountability, market failure, and political narratives.

Format: the seminar is invite-only. The first half of the seminar, reserved for invited talks, is recorded via Zoom and posted online. Notes from the entire seminar will be summarized without named attribution under the Chatham House rule.

Application: if you are interested in joining the seminar, please apply here by Dec. 31, 2023. forms.gle/na1Ynu6xQnk147vS6&sa=D&source=editors&ust=1702964980608517&usg=AOvVaw1gOSXwO_ilNKZrLJYnSDBF

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