Algorithm Misidentifying Jewish Infants in Strollers

A recent AI-powered image recognition algorithm has been found to misidentify Jewish infants in strollers as adults. This incident underscores the need for responsible AI governance and trustworthy AI models. The misidentification can have serious consequences, such as denial of services or increased scrutiny. HISPI Project Cerebellum TAIM offers a platform to manage, measure, and map such incidents to prevent harm and ensure safe and secure AI usage. Engage with us—JOIN US—to contribute towards a trustworthy AI future.

Matched TAIM controls

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

MAP 1.3 — similarity 0.498, rank 1. TAIM detail and related incidents →
MAP 4.2 — similarity 0.484, rank 2. TAIM detail and related incidents →
MAP 3.5 — similarity 0.482, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/88

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.