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 15 posts
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
High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response
Abstract: This paper describes the coupling of machine learning and the social production of risk…
October 9, 2020
Academic article
Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment
Data & Society Fellow Cynthia Conti-Cook and co-authors assess the bias involved in risk assessment…
November 23, 2018
Academic article
When a Computer Program Keeps You in Jail
D&S resident Rebecca Wexler describes the flaws of an increasingly automated criminal justice…
June 13, 2017
Artículo
How to Hold Algorithms Accountable
D&S affiliate Sorelle Friedler, with Nicholas Diakopoulos, discuss five principles to hold…
November 17, 2016
Artículo