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UC San Diego Labor Center and researchers urge worker-centered AI adoption, flag cases of harm
Summary
UC San Diego Labor Center and researchers presented case studies to the San Diego County AI Ad Hoc Subcommittee showing how poorly designed AI deployments can harm workers and residents and recommended worker involvement, transparency and human oversight.
Satomi Rausch Ziegler, executive director of the UC San Diego Labor Center, and Dr. Lilly Irani, associate professor and faculty director at the labor center, warned the San Diego County AI Ad Hoc Subcommittee that AI implementations can produce operational failures, safety risks and inequitable outcomes unless workers and subject-matter experts are involved from planning through deployment.
The presenters summarized machine-learning basics and described several case studies intended to show both risks and mitigation steps. Their recommendations emphasized transparency from vendors, human oversight, inclusive design involving front-line workers and phased testing.
Key case studies and regional implications
- Hershey's ERP rollout: The presenters said a rapid enterprise resource planning (ERP) deployment resulted in major operational disruptions, a reported drop in sales and a substantial…
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