Lawsuit Challenges Algorithmic Bias in Houston School Teacher Evaluations: A Case for Safe and Secure AI
May 8, 2017
On May 4, 2017, a U.S. federal judge recognized teachers' claims that the Houston Independent School District's algorithmic teacher evaluations potentially infringed upon their due process rights to job security by not providing transparency in termination reasons. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
- Alleged deployer
- houston-independent-school-district
- Alleged developer
- sas-institute
- Alleged harmed parties
- houston-independent-school-district-teachers
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/96
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.