Widespread Appeals Planned Against Perceived Unfair AI-Based Teacher Evaluations - A Cautionary Tale on AI Governance
Teachers across the nation are preparing to challenge perceived unfair evaluations, which rely heavily on artificial intelligence. This incident underscores the importance of responsible AI governance, safe and secure AI usage, and trustworthy AI models like those provided by Project Cerebellum's AI incident database. Harm prevention and establishing guardrails for AI is crucial in these sensitive areas. 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/9
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.