In July 2020 HMI launched a new fortnightly research seminar, aiming to provide a platform for new research on understanding and designing democratically, constitutionally, and culturally legitimate data and AI systems. This is a fast moving field, and we think most can be gained by elevating the voices of early career scholars pushing the frontiers of research, as well as newer entrants to this multi-discipline debate.
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
Upcoming speakers for 2020:
Our past 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.
You can sign up to be alerted about new seminars below, view our events page here, or follow us on Twitter.
Artist: Dario Veruari