AI Incident Database - Incident 135
Source evidence cited by public records. This page shows where the source is used, its trust tier, and when it was last checked in the seed.
Records using this source
- educational-communities
entity | 25 June 2026 | 70%
educational-communities - organisation named in the AI Incident Database harm index.
- students
entity | 24 June 2026 | 70%
students - organisation named in the AI Incident Database harm index.
- university-students
entity | 19 June 2026 | 70%
university-students - organisation named in the AI Incident Database harm index.
- university-applicants
entity | 13 Sept 2022 | 70%
university-applicants - organisation named in the AI Incident Database harm index.
- austin-waters
entity | 10 Aug 2022 | 70%
austin-waters - organisation named in the AI Incident Database harm index.
- computer-science-phd-applicants
entity | 10 Aug 2022 | 70%
computer-science-phd-applicants - organisation named in the AI Incident Database harm index.
- phd-applicants
entity | 10 Aug 2022 | 70%
phd-applicants - organisation named in the AI Incident Database harm index.
- phd-applicants-from-underrepresented-groups
entity | 10 Aug 2022 | 70%
phd-applicants-from-underrepresented-groups - organisation named in the AI Incident Database harm index.
- risto-miikkulainen
entity | 10 Aug 2022 | 70%
risto-miikkulainen - organisation named in the AI Incident Database harm index.
- university-of-texas-at-austin-phd-applicants-of-marginalized-groups
entity | 10 Aug 2022 | 70%
university-of-texas-at-austin-phd-applicants-of-marginalized-groups - organisation named in the AI Incident Database harm index.
- university-of-texas-at-austin-researchers
entity | 10 Aug 2022 | 70%
university-of-texas-at-austin-researchers - organisation named in the AI Incident Database harm index.
- university-of-texas-at-austin's-department-of-computer-science
entity | 10 Aug 2022 | 70%
university-of-texas-at-austin's-department-of-computer-science - organisation named in the AI Incident Database harm index.
- UT Austin's GRADE Algorithm Reportedly Reduced Review of Lower-Scored PhD Applicants Amid Bias Concerns
event | 10 Aug 2022 | 82%
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.