activity
20142026
most citedOn the (im)possibility of fairness

267 citations · 710 across the 27 of their papers we have counts for

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Showing cs.CYShow all

5 papers · 1 filter

cs.CY2026

The Beginning of ChatGPT Ads

Emma Lurie, Ro Encarnación, Sorelle A. Friedler +1

This paper presents the first empirical study of advertising content being rolled out in the user-facing online interfaces of large language models (LLMs). We systematically examin…

cs.CY2026

Triangulating Across U.S. Federal AI Transparency Regimes

Emma Lurie, Emma Fauser, Qing He +2

Federal AI systems can deny benefits or flag individuals for deportation, but the public disclosures meant to make those systems visible are fragmented and unevenly detailed. This…

cs.CY2022★ 1 cited

Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina

Mohsen Abbasi, Suresh Venkatasubramanian, Sorelle A. Friedler +2

Voter suppression and associated racial disparities in access to voting are long-standing civil rights concerns in the United States. Barriers to voting have taken many forms over…

cs.CY2017★ 123 cited

Runaway Feedback Loops in Predictive Policing

Danielle Ensign, Sorelle A. Friedler, Scott Neville +2

Predictive policing systems are increasingly used to determine how to allocate police across a city in order to best prevent crime. Discovered crime data (e.g., arrest counts) are…

cs.CY2016★ 267 cited

On the (im)possibility of fairness

Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian

What does it mean for an algorithm to be fair? Different papers use different notions of algorithmic fairness, and although these appear internally consistent, they also seem mutua…