Dispute Over NYC School Teacher Evaluation Algorithm: Highlighting the Need for Safe and Secure AI
February 25, 2012
An algorithm used to evaluate school teachers' effectiveness in New York City has led to thousands of disputes over its results, emphasizing the importance of trustworthy AI. Join us at Project Cerebellum, where we work on guardrails for AI like this incident, which maps to the Govern function in our HISPI Trusted AI Model (TAIM). JOIN US
- Alleged deployer
- new-york-city-dept.-of-education
- Alleged developer
- new-york-city-dept.-of-education
- Alleged harmed parties
- teachers
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.