Universities Employing Race as a Predictive Factor for Student Success: A Cautionary Tale in AI Governance
Exploring the use of race as a predictor for student success, this article highlights the importance of safe and secure AI. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). It emphasizes the need for guardrails in AI development to prevent harm and foster responsible AI. Ready to contribute? Help us shape trustworthy AI by JOIN US.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/99
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.