Aborted Amazon Recruitment Tool: A Lesson in Responsible AI

In a recent development, Amazon abandoned an AI tool used for recruitment due to concerns about gender bias. This incident underscores the need for robust AI governance and trustworthy AI models to prevent such harm. The AI system was found to favor male candidates over female ones in job applications. Amazon acknowledged the issue and pledged to improve its AI systems. Such incidents highlight the importance of safe and secure AI, and the need for guardrails for AI development. Through JOIN US, join us as we continue to advance the HISPI Project Cerebellum TAIM, focusing on Map, Measure, Manage, and Govern.

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

MAP 1.6 — similarity 0.529, rank 1. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.524, rank 2. TAIM detail and related incidents →
MAP 1.2 — similarity 0.516, 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.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.