Suspension of UT Austin's GRADE Algorithm: Addressing Historical Inequalities in AI Governance
December 1, 2012
The University of Texas at Austin's Department of Computer Science's assistive algorithm for PhD applicant assessment, 'GRADE', raised concerns about exacerbating historical inequalities for marginalized candidates. This led to its temporary suspension and highlights the importance of safe and secure AI, responsible AI governance, and trustworthy AI practices. Ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- Alleged deployer
- university-of-texas-at-austin's-department-of-computer-science
- Alleged developer
- university-of-texas-at-austin-researchers
- Alleged harmed parties
- university-of-texas-at-austin-phd-applicants-of-marginalized-groups
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/135
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.