Library
Use our library to explore Data & Society's original empirical research and read our expert commentary. Sort by media type, or select one or more topic categories to begin browsing.
Publisher
Title
Date
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Primer
Data & SocietyThis collaboration between Lana Swartz, Alice E. Marwick, and Kate Larson maps generative AI's role in scams, the communities most at risk, and the broader economic and cultural shifts at play. Read moreMay 2025 -
Policy Brief
Data & SocietyMay 2024 -
event
podcast
video
Data & SocietyA conversation with experts on the emerging regulations in the EU, US, and Canada, and asks how impact assessment practices can effectively account for the harms caused by algorithmic systems. Read moreJune 2021 -
Academic Article
Engaging Science, Technology, and SocietyIn this article, Research Lead Madeleine Clare Elish investigates who bears the responsibility when an automated system fails. "Just as the crumple zone in a car is designed to absorb the force of impact in a crash, the human ... Read on Engaging Science, Technology, and SocietyMay 2019 -
op-ed
NatureD&S affiliate Kate Crawford, with Ryan Calo, wrote this piece discussing risks in AI. Artificial intelligence presents a cultural shift as much as a technical one. This is similar to technological inflection points of the ... Read on NatureOctober 2016 -
blog post
CultureDigitally.orgD&S Advisor Tarleton Gillespie responds to Gizmodo's recent piece alleging bias in Facebook's Trending Topics list. He argues that information algorithms like the ones used to identify “trends” on Facebook do not work alone... Read on CultureDigitally.orgMay 2016