HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Unveiling the Concealed Gender Bias in Google Image Search: A Call for Trustworthy AI

This investigation sheds light on a persistent gender bias in Google Image Search, emphasizing the need for responsible AI governance and harm prevention. By understanding and addressing such biases, we can uphold safe and secure AI practices that align with Project Cerebellum's mission. Ready to help shape responsible AI? JOIN US 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.