UT Austin's GRADE Algorithm Reportedly Reduced Review of Lower-Scored PhD Applicants Amid Bias Concerns
Description
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.
Actors
Alleged Deployers
- university-of-texas-at-austin's-department-of-computer-science
- risto-miikkulainen
- austin-waters
Alleged Developers
- university-of-texas-at-austin-researchers
Harmed Parties
- university-students
- university-of-texas-at-austin-phd-applicants-of-marginalized-groups
- university-applicants
- students
- phd-applicants-from-underrepresented-groups
- phd-applicants
- educational-communities
- computer-science-phd-applicants
Classification
Risk Domain
Discrimination & ToxicityRisk Subdomain
1.1. Unfair discrimination and misrepresentation
MIT Risk Profile
Topics
Source
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