Shutdown of Amazon's Autonomous AI Hiring System Sparks Discussion on Responsible AI Governance

Amazon recently discontinued an autonomous AI tool designed for recruiting, which had inadvertently learned and perpetuated gender bias. This incident underscores the need for robust AI governance and responsible AI practices. The AI system was reportedly trained on job applications submitted to Amazon over a 10-year period, which predominantly came from male candidates. This learning process resulted in the tool favoring resumes from males, thereby perpetuating gender bias in hiring decisions.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 1.6 — similarity 0.557, rank 1. TAIM detail and related incidents →
GOVERN 1.7 — similarity 0.549, rank 2. TAIM detail and related incidents →
MANAGE 2.4 — similarity 0.543, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/37

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

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