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From Algorithmic Audits to Actual Accountability: Overcoming Practical Roadblocks on the Path to Meaningful Audit Interventions for AI Governance

Published: 27 July 2022 Publication History

Abstract

As algorithmic deployments become more and more common, policymakers and advocates are increasingly turning to audits as an approach for accountability. Some audits have already led to product updates or recalls, organizational changes and developments to regulation or standards. However, difficulties in execution, oversight and impact threaten the credibility and effectiveness of these audits.
In order to further mature the AI policy ecosystem, we must approach audit interventions with care. In this talk, I discuss several of the remaining roadblocks on the path to making audits a meaningful intervention for algorithmic accountability. I highlight the particular challenges of implementing audits in the algorithmic context, while also noting important lessons from audit systems in other industries. I conclude with recommendations for clearing the path towards more meaningful and mature audit accountability measures for AI governance.

Cited By

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  • (2024)Reflective Design for Informal Participatory Algorithm Auditing: A Case Study with Emotion AIProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685411(1-17)Online publication date: 13-Oct-2024
  • (2024)Law and the Emerging Political Economy of Algorithmic AuditsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658970(1255-1267)Online publication date: 3-Jun-2024
  • (2023)AI Art and its Impact on ArtistsProceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3600211.3604681(363-374)Online publication date: 8-Aug-2023
  • Show More Cited By

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Published In

cover image ACM Conferences
AIES '22: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
July 2022
939 pages
ISBN:9781450392471
DOI:10.1145/3514094
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 July 2022

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Author Tags

  1. accountability
  2. algorithm
  3. auditing
  4. deployment
  5. governance

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  • Invited-talk

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AIES '22
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AIES '22: AAAI/ACM Conference on AI, Ethics, and Society
May 19 - 21, 2021
Oxford, United Kingdom

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Overall Acceptance Rate 61 of 162 submissions, 38%

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Cited By

View all
  • (2024)Reflective Design for Informal Participatory Algorithm Auditing: A Case Study with Emotion AIProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685411(1-17)Online publication date: 13-Oct-2024
  • (2024)Law and the Emerging Political Economy of Algorithmic AuditsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658970(1255-1267)Online publication date: 3-Jun-2024
  • (2023)AI Art and its Impact on ArtistsProceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3600211.3604681(363-374)Online publication date: 8-Aug-2023
  • (2023)Ethical Data Science10.1093/oso/9780197693025.001.0001Online publication date: 23-Nov-2023

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