HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Unveiling the Unseen Gender Bias in Google Image Search: A Step Towards Responsible AI

Investigate the unnoticed gender bias within Google Image Search, shedding light on the need for trustworthy AI. Join us to contribute to Project Cerebellum's efforts in maintaining a safe and secure AI ecosystem, and help implement guardrails for AI through our AI incident database. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/18

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.