2026-09-20T23:22:28.549Z
- publishedAt:
Not provided→ 2020-12-08T00:00:00.000Z
SOURCE-LINKED INTELLIGENCE
UT Austin's GRADE Algorithm Reportedly Reduced Review of Lower-Scored PhD Applicants Amid Bias Concerns
From the 2013 through 2019 admissions cycles, UT Austin's Department of Computer Science used GRADE, a statistical machine-learning system trained on past admissions decisions, to score and organize PhD applications. Critics said the system could reproduce historical admissions inequities and reduce attention to lower-scored applicants, while UT Austin said human reviewers still evaluated each file and later discontinued the tool.
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- recordType
- incident-report
- evidenceStatus
- reported
- region
- Global
Reported occurrence date: 2012-12-01T00:00:00.000Z
Evidence & attribution
- AI Incident Database
- AI Incident Database · 2020-12-08T00:00:00.000Z
AI Incident Database, Responsible AI Collaborative; McGregor (2021), Preventing Repeated Real World AI Failures by Cataloging Incidents. Incident-specific contributor credits are available at each citation link. Metadata adapted; article text excluded.
License: CC BY-SA 4.0
First collected: 2026-09-19T22:50:59.123Z. This is not the publication date.
Observed changes
AIIC observation times, not verified publisher revision times. Up to eight recent revisions.