The Unintended Consequences of Amazon's Automated Recruitment Tool

In 2014, an automated hiring tool developed by Amazon was discovered to show gender bias in its recommendations. The tool, designed to streamline the company's recruitment process, had inadvertently learned from resumes that were predominantly submitted by men, leading to a less diverse candidate pool.

Matched TAIM controls

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

MAP 1.6 — similarity 0.479, rank 1. TAIM detail and related incidents →
GOVERN 3.1 — similarity 0.466, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.465, 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.