CFP: MINT-Yale Workshop on Normative Philosophy of Computing

Submission deadline: July 26, 2024

Conference date(s):
September 27, 2024 - September 28, 2024

Go to the conference's page

Conference Venue:

Yale Law School, Yale University
New Haven, United States

Topic areas


Together with the ANU Machine Intelligence and Normative Theory lab, Yale Law School is hosting a two-day workshop on normative philosophy of computing on September 27-28, 2024. The workshop will feature papers that use the tools of analytical philosophy to frame and address normative questions raised by computing and computational systems. This includes work in moral, legal and political philosophy focused on artificial intelligence, such as (philosophical) work on AI ethics and safety. But it also includes (social) epistemology, (social) philosophy of language, aesthetics, and normative approaches to philosophy of science and philosophy of mind. Submitted work also need not focus specifically on artificial intelligence, as distinct from other sociotechnical systems reliant on computing, such as online communication, digital platforms, search engines, cybersecurity, algorithmic management etc. Versions of this workshop have been run in the past at Harvard, Stanford, and ANU.  

Papers will be selected for either *spotlight* or *lightning* presentations. One author of papers accepted for spotlight presentations will be eligible for full funding for travel and accommodation for the workshop. One author of papers accepted for lightning presentations will be eligible for partial funding, with the possibility of full funding based on need. 

To be considered for the workshop, please submit the following materials to [email protected] by July 26 (end of day, anywhere on Earth):

-        Cover page containing author details and paper title.

-        500-1,000 word paper abstract prepared for blind review. 

This workshop is possible through the generous support of the Yale Law School and Schmidt Sciences AI 2050.

Organisers: Seth Lazar (ANU), Scott Shapiro and Ketan Ramakrishnan (YLS)

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