Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling
Abstract: Audits are critical mechanisms for identifying the risks and limitations of deployed…
April 25, 2025
Academic article
Biblioteca de investigación y recursos
This library includes Data & Society publications produced over our 10+ year history. Our research, events, and insights explore how technology shapes society, and how society can shape technology in turn.
Showing 12 of 55 posts
October 3, 2024
Entrada de blog
The Algorithmic Impact Methods Lab: Methods from the Field
Launched in May 2023, Data & Society’s Algorithmic Impact Methods Lab (AIMLab) takes an…
September 18, 2024
Entrada de blog
Assessing the impact of algorithmic systems
"Join Jason Foster in this thought-provoking discussion with Tamara Kneese, the lead of the…
June 6, 2024
Audio
Keywords of the Datafied State
Produced in collaboration with global scholars and edited by Jenna Burrell, Ranjit Singh, and…
April 24, 2024
Informe
AI Auditing: The Broken Bus on the Road to AI Accountability
From the 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML). Abstract: One of…
January 25, 2024
Academic article
Q&A with Siegel Research Fellow and Senior Researcher at the Data & Society Research Institute Ranjit Singh
Ranjit Singh reflects on the possibilities and limits of red-teaming for AI accountability
January 22, 2024
Entrada de blog
AI Red-Teaming is Not a One-Stop Solution to AI Harms: Recommendations for Using Red-Teaming for AI Accountability
Red-teaming is a method where people — traditionally security engineers inside a company — interact…
October 25, 2023
Informe de política
Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability
Abstract: In widely used sociological descriptions of how accountability is structured through…
June 12, 2023
Academic article
April 3, 2023
Entrada de blog