Addressing Bias in AI: The Challenge of Islamophobia
Exploring an unfortunate issue in AI: the perpetuation of Islamophobic biases. This incident underscores the need for responsible AI governance and the role of Project Cerebellum's Trusted AI Model (TAIM) — specifically the Govern function, which aims to prevent such harm. Join us in fostering trustworthy AI JOIN US.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/118
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.