HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Analyzing AI Bias in a Jewish Baby Stroller Algorithm: Preventing Harm through Responsible AI

Explore the implications of this AI incident, which reveals potential bias in an image recognition algorithm related to baby strollers. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Help us build guardrails for AI and contribute to safe and secure AI development by JOIN US.

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.