Amazon Abandons Biased AI

Recently, Amazon announced the termination of an AI recruitment tool that exhibited gender bias in its hiring process. This move reflects the tech giant's commitment to responsible AI and harm prevention. The system was trained on historical data which perpetuated the bias, emphasizing the importance of safe and secure AI development.

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

MAP 1.6 — similarity 0.543, rank 1. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.527, rank 2. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.520, 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.