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

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

4 April 2023
Ren-de Li
Sara Kingsley
Chelsea Fan
Proteeti Sinha
Nora Wai
Jaimie Lee
Hong Shen
Motahhare Eslami
Jason I. Hong
    MLAU
ArXivPDFHTML

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

2 / 2 papers shown
Title
Addressing the regulatory gap: moving towards an EU AI audit ecosystem beyond the AI Act by including civil society
Addressing the regulatory gap: moving towards an EU AI audit ecosystem beyond the AI Act by including civil society
David Hartmann
José Renato Laranjeira de Pereira
Chiara Streitbörger
Bettina Berendt
104
6
0
20 Feb 2025
Discovering and Validating AI Errors With Crowdsourced Failure Reports
Discovering and Validating AI Errors With Crowdsourced Failure Reports
Ángel Alexander Cabrera
Abraham J. Druck
Jason I. Hong
Adam Perer
HAI
68
54
0
23 Sep 2021
1