activity
20172026
most citedEveryday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors

156 citations · 467 across the 38 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.HC2023

The Public Algorithms Survey in Allegheny County

Yu-Ru Lin, Beth Schwanke, Rosta Farzan +4

This survey study focuses on public opinion regarding the use of algorithmic decision-making in government sectors, specifically in Allegheny County, Pennsylvania. Algorithms are b…

cs.HC2023

Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice

Wesley Hanwen Deng, Nur Yildirim, Monica Chang +3

An emerging body of research indicates that ineffective cross-functional collaboration -- the interdisciplinary work done by industry practitioners across roles -- represents a maj…

cs.HC2023★ 2 cited

Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI

Wesley Hanwen Deng, Motahhare Eslami, Kenneth Holstein

Data-driven algorithmic and AI systems are increasingly being deployed to automate or augment decision processes across a wide range of public service settings. Yet community membe…

cs.HC2023★ 28 cited

Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?

Rena Li, Sara Kingsley, Chelsea Fan +6

Recent years have witnessed an interesting phenomenon in which users come together to interrogate potentially harmful algorithmic behaviors they encounter in their everyday lives.…

cs.HC2023★ 8 cited

Investigating Girls' Perspectives and Knowledge Gaps on Ethics and Fairness in Artificial Intelligence in a Lightweight Workshop

Jaemarie Solyst, Alexis Axon, Angela E. B. Stewart +2

Artificial intelligence (AI) is everywhere, with many children having increased exposure to AI technologies in daily life. We aimed to understand middle school girls' (a group ofte…