activity
20142026
most citedOn the (im)possibility of fairness

267 citations · 506 across the 14 of their papers we have counts for

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Showing cs.CYShow all

6 papers · 1 filter

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.CY2021★ 34 cited

It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Michelle Bao, Angela Zhou, Samantha Zottola +5

Risk assessment instrument (RAI) datasets, particularly ProPublica's COMPAS dataset, are commonly used in algorithmic fairness papers due to benchmarking practices of comparing alg…

cs.CY2021★ 1 cited

A Research Ecosystem for Secure Computing

Nadya Bliss, Lawrence A. Gordon, Daniel Lopresti +2

Computing devices are vital to all areas of modern life and permeate every aspect of our society. The ubiquity of computing and our reliance on it has been accelerated and amplifie…

cs.CY2020★ 5 cited

Interdisciplinary Approaches to Understanding Artificial Intelligence's Impact on Society

Suresh Venkatasubramanian, Nadya Bliss, Helen Nissenbaum +1

Innovations in AI have focused primarily on the questions of "what" and "how"-algorithms for finding patterns in web searches, for instance-without adequate attention to the possib…

cs.CY2020

Evolving Methods for Evaluating and Disseminating Computing Research

Benjamin Zorn, Tom Conte, Keith Marzullo +1

Social and technical trends have significantly changed methods for evaluating and disseminating computing research. Traditional venues for reviewing and publishing, such as confere…

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…