No Simple Fix: How AI Harms Reflect Power and Jurisdiction in the Workplace
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3630106.3658915.pdf
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276.02 KB
Format
Adobe PDF
Checksum (MD5)
210cf3122dbfb440d4812672d5d0a35a
Author(s)
Nedzhvetskaya, Nataliya
Tan, JS
Date Issued
June 3, 2024
Publisher
ACM|The 2024 ACM Conference on Fairness, Accountability, and Transparency
Citation
Nedzhvetskaya, Nataliya and Tan, JS. 2024. "No Simple Fix: How AI Harms Reflect Power and Jurisdiction in the Workplace."
Version
Final published version
Abstract
The introduction of AI into working processes has resulted in workers increasingly being subject to AI-related harms. By analyzing incidents of worker-related AI harms between 2008 and 2023 in the AI Incident Database, we find that harms get addressed under considerably restricted scenarios. Results from a Qualitative Comparative Analysis (QCA) show that workers with more power resources, either in the form of expertise or labor market power, have a greater likelihood of seeing harms fixed, all else equal. By contrast, workers lacking expertise or labor market power, have lower success rates and must resort to legal or regulatory mechanisms to get fixes through. These findings suggest that the workplace is another arena in which AI has the potential to reproduce existing inequalities among workers and that stronger legal frameworks and regulations can empower more vulnerable worker populations.
Description
FAccT ’24, June 03–06, 2024, Rio de Janeiro, Brazil
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3630106.3658915
