AI Incident: Misidentification of Students of Color in Testing Software
This AI incident, where students of color are incorrectly identified by testing software, highlights the urgent need for safe and secure AI. Such misidentifications can lead to harmful consequences, underscoring the importance of responsible AI governance. By joining Project Cerebellum's AI incident database, you help in harm prevention and contribute to setting guardrails for AI that prioritize equity and fairness. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/138
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.