AI Workers' Inquiry

Alex Hanna, Clarissa Redwine, Linda Huber, Nathan Kim, Cella Sum, JS Tan, Justine Zhang, Gena Kim, Sophie Song, Shreya Chowdhary, Bria Massey, Francesca Lameiro
Collective Action in Tech, the ACM Strike School, and DAIR

Continuation of CRAFT session (Taking Stock at FAccT: Insights through Participatory Design)

Yanan Long, Jan Simson, Shiran Dudy
University of Chicago; LMU Munich & Munich Center for Machine Learning; Northeastern University

Countering narratives of inevitability show and tell

Tania Duarte
We and AI

Critical AI Literacy x Computing Education Research Social Gathering

Faye-Marie Vassel, Jaemarie Solyst, Evan Shieh
Stanford University

Data for Democratizing AI Safety Evaluation

Charvi Rastogi
Google DeepMind, ML Commons

Eval Eval Coalition Social

Jennifer Mickel

Extended Discussion on Tutorial: AI Measurement as a Stakeholder-Engaged Design Practice

Anna Kawakami
Carnegie Mellon University

Generative AI Risks + Red-Teaming

Manish Nagireddy
IBM Research

Global Majority AI Network Social

Lindsey Batteast
Just Innovation Forum

Leveraging Survey Methodology to Improve Training Data Quality and Enrich Fairness Research

Christoph Kern, Clara Strasser Ceballos
LMU Munich

Off-session Social: The Many Faces of Multiplicity in ML

Prakhar Ganesh
McGill University and Mila-Quebec AI Institute

Participatory Engagement for AI

Joshua Pikus
Partnership on AI, Data & Society, Coworker.org

PhDs After Dark: Wine, Woes and Wisdom 🍷

Marc T.J Elliott
Queen's University Belfast

Political economy of algorithms and computing

Nathan Kim, Gena Kim, Justine Zhang, Cella Sum
University of Michigan

Queer in AI

Jordan Taylor
Carnegie Mellon University

RC-Trust FAccT Networking Evening

Jat Singh
RC-Trust, UA Ruhr, Germany

Transparency registers and other methods of civil society holding government to account

Alexandra Sinclair
University of Sydney

Unpacking AI companions through cinema

Priya Goswami
Mumkin App (co-founder, CEO)

What would a research agenda around societal resilience to AI look like?

Eliza Cudmore, Shannon Yang
UK AISI