Copyright 2024 Computer Says Maybe
E04
June 21, 2024
What the FAccT?: Reformers and Radicals
Hosted by
Alix Dunn and Andrew Strait
In part 1 of our FAccT conference deep dive, Alix Dunn sits down with co-host Andrew Strait from the Ada Lovelace Institute to talk about the history of FAccT and some of the papers being presented at this year’s event.
On Computer Says Maybe, host Alix Dunn interviews visionaries and cutting edge researchers to help you wade through the wacky and worrying world of new technology.
Contact us with your feedback and suggestions, or if you’re keen to explore your area in conversation. We have rotating co-hosts and expert guests that help us deep dive into a particular topic. Write to us anytime at team@saysmaybe.com.
Show Notes
The Fairness, Accountability and Transparency Conference, or FAccT is an interdisciplinary conference dedicated to bringing together a diverse community of scholars and exploring how socio-technical systems could be built in a way that is compatible with a fair society. The seventh annual FAccT conference was held in Rio de Janeiro, Brazil, from Monday, June 3rd through Thursday, June 6th 2024 with over five hundred people in attendance.
This episode is hosted by Alix Dunn and our Co-Host is Andrew Strait
Further Reading:
- Robert Gorwa (WZB Berlin Social Science Center, Germany) and Michael Veale (University College London, UK)- Moderating Model Marketplaces: Platform Governance Puzzles for AI Intermediaries
- Marta Ziosi (University of Oxford, UK) and Dasha Pruss (Harvard University, USA)- Evidence of What, for Whom? The Socially Contested Role of Algorithmic Bias in a Predictive Policing Tool
- Michael Madaio (Google Research, USA), Shivani Kapania (Carnegie Mellon University, USA), Rida Qadri (Google Research, USA), Ding Wang (Google Research, USA), Andrew Zaldivar (Google Research, USA), Remi Denton (Google Research, USA) and Lauren Wilcox (eBay, USA)- Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations
- David Gray Widder (Digital Life Initiative, Cornell Tech, USA)- Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints
- Lara Groves (Ada Lovelace Institute, UK), Jacob Metcalf (Data & Society Research Institute, USA), Alayna Kennedy (Independent researcher, USA), Briana Vecchione (Data & Society Research Institute, USA) and Andrew Strait (Ada Lovelace Institute, UK)- Auditing Work: Exploring the New York City algorithmic bias audit regime
- Nari Johnson (Carnegie Mellon University, USA), Sanika Moharana (Carnegie Mellon University, USA), Christina Harrington (Carnegie Mellon University, USA), Nazanin Andalibi (University of Michigan, USA), Hoda Heidari (Carnegie Mellon University, USA) and Motahhare Eslami (Carnegie Mellon University, USA)- The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment
Transcript