Algorithmic Teacher Evaluation Program Failed Student Outcome Goals and Allegedly Caused Harm Against Teachers
September 1, 2009
This incident serves as a cautionary tale emphasizing the importance of trustworthy AI and the need for safe and secure AI practices. Join us at Project Cerebellum, the AI incident database, to learn more about Govern, Map, Measure, and Manage incidents like this through our HISPI Project Cerebellum TAIM.
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MEASURE 2.6 — similarity 0.669, rank 1. TAIM detail and related incidents →
- MAP 4.1 — similarity 0.641, rank 2. TAIM detail and related incidents →
- MEASURE 1.3 — similarity 0.636, rank 3. TAIM detail and related incidents →
- Alleged deployer
- intensive-partnerships-for-effective-teaching
- Alleged developer
- intensive-partnerships-for-effective-teaching
- Alleged harmed parties
- students, low-income-minority-students, teachers
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/239
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.