HMI Data, AI and Society (DAIS) public online seminar series

HMI Data, AI and Society (DAIS) public online seminar series

HMI’s Data, AI and Society seminar series returns in 2021, aiming to provide a platform for new research on understanding and designing democratically, constitutionally, and culturally legitimate data and AI systems.

The seminar is all-remote, all the time. The timezone shifts (within AEST working hours) to accommodate speakers from around the world. HMI project members and invitees provide a live audience, while streams are also be available to the public, and registrants are invited to an open Slack group where they can discuss the paper.

Videos of our sessions are shared at hmi.anu.edu.au/dais-videos

Our 2020 speakers were:

Claire Benn (Philosophy, ANU). ‘Signalling Virtue: Reassuring Observers of Machine Behaviour’. View here.
Lily Hu (Philosophy, Applied Mathematics, Harvard). ‘What is '“Race” in Algorithmic Discrimination on the Basis of Race?’ Read more here.
Maria De Arteaga (Computer Science, UT Austin). ‘What’s in a Name? Understanding and Mitigating Semantic and Representation Bias’. Read more here.
Clinton Castro (Philosophy, Florida Int. University). ‘Just Machines’. Read more here.
Barbara Kiviat (Sociology, Stanford). ‘The Moral Legibility of Narrative and Case Comparison’. Read more here.
Elettra Bietti (Law, Harvard)
Seda Gürses (Computer Science, KU Leuven)
Debbie Hellman (Law, University of Virginia)
Abhijnan Chakraborty (Computer Science, Max Planck Institute for Software Systems)
Rediet Abebe (Computer Science, UC Berkeley)
Marcello di Bello (Philosophy, City University of New York) and Ruobin Gong (Statistics, Rutgers)
Naman Goel (Computer Science, EPFL)
Cierra Robson (Sociology, Harvard)

You can sign up to be alerted about new seminars below, view our events page here, or follow us on Twitter.