BiasMedium
New York City Reportedly Released Disputed Value-Added Teacher Ratings for Thousands of Teachers
- Occurred
- Feb 25, 2012
- Published
- Oct 19, 2013
- Source
- AI Incident Database
Summary
After a legal dispute over public-records requests, the New York City Department of Education released Teacher Data Reports that used a value-added statistical model to rate thousands of public-school teachers based on estimated student test-score growth. News outlets published the ratings in February 2012, and teachers, unions, and analysts disputed the scores as imprecise and potentially misleading, citing large error margins, limited samples, and apparent roster-linkage errors.
Developers
- New York City Department of Education
Deployers
- New York City Department of Education
Harmed parties
- Teachers
- Students
- New York City teachers
- New York City students
- Epistemic integrity
- Educational communities
Classification
Category confidence: 85%
Severity confidence: 80%
Rationale: Algorithmic teacher evaluation disputes suggest potential bias or unfair outcomes in employment decisions.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8