HireVue's Facial Analysis Algorithms Alleged as Unfair and Deceptive Technology

November 6, 2019

The hiring algorithms employed by HireVue, which incorporate facial analysis and personality estimation, have been accused in a complaint as potentially misleading and unfair. As responsible AI practitioners strive to promote safe and secure AI practices, incidents like this underscore the need for trustworthy AI and effective governance. The HISPI Project Cerebellum TAIM (Govern) aims to address such concerns by providing a platform for mapping, measuring, and managing AI-related incidents to prevent harm.

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Matched TAIM controls

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

GOVERN 3.1 — similarity 0.688, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.683, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.680, rank 3. TAIM detail and related incidents →

Alleged deployer: hilton-international, unilever, re:work-training
Alleged developer: hirevue
Alleged harmed parties: hilton-international-hiring-candidates, unilever-hiring-candidates, re:work-training-hiring-candidates

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/365

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.