CFP: AI and Data Ethics: Philosophy and Pedagogy

Submission deadline: January 10, 2026

Conference date(s):
March 6, 2026 - March 7, 2026

Go to the conference's page

Conference Venue:

Department of Philosophy, University of Southern California
Los Angeles, United States

Topic areas

Details

This is a call for proposals for AI and Data Ethics: Philosophy and Pedagogy, a workshop to be held at University of Southern California on March 6-7. The conference has two goals: first, to bring together scholars interested in the philosophy and ethics of AI, data, and related topics in computing and technology ethics. And second, to share pedagogical ideas, strategies, and reports on teaching this material – especially to STEM and CS student – and in other public, outward-facing presentations.  

We are proposing an unusual format: each speaker will have 40 minutes to speak, followed by 30 minutes of Q&A. That initial 40 minutes should contain both:

  1. some presentation of your own research, in the usual philosophy-conference way 

  2. a presentation of how this material, or related material, might be taught in the classroom, in public-facing ways, etc. 

The presentation should contain a minimum of 10 minutes of each part, but the balance of how you use your time will be up to you. 

A major goal of this conference is to really think about, not only breaking issues in the philosophy and ethics of AI, data, etc., but to really think together about better ways to teach and present these ideas in engaging, useful, and relevant ways to students and professionals in the world of tech and STEM. 

Submissions should be abstracts, up to 1000 words, describing the research and pedagogical parts of the presentation. Please submit abstracts to [email protected]

Submission deadline is Jan 10. We have some limited funding for travel support, which we are preferenentially holding for those without sufficient institutional travel support. 


Confirmed Speakers: 


Gabby Johnson

David Danks

C. Thi Nguyen



Conference Organizers: David Danks, John Patrick Hawthorne, C. Thi Nguyen, Mark Schroeder

Supporting material

Add supporting material (slides, programs, etc.)