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Incident 99: Major Universities Are Using Race as a “High Impact Predictor” of Student Success

Description: Several major universities are using a tool that uses race as one factor to predict student success.

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Entities

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Alleged: EAB developed an AI system deployed by University of Massachusetts Amherst , University of Wisconsin–Milwaukee , University of Houston , Texas A&M University , Georgia State University and more than 500 colleges, which harmed Black college students , Latinx college students and indigenous students.

Incident Stats

Incident ID
99
Report Count
1
Incident Date
2012-01-01
Editors
Sean McGregor, Khoa Lam
Applied Taxonomies
CSETv0, CSETv1, GMF, MIT

CSETv1 Taxonomy Classifications

Taxonomy Details

Incident Number

The number of the incident in the AI Incident Database.
 

99

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

1.1. Unfair discrimination and misrepresentation

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Discrimination and Toxicity

Entity

Which, if any, entity is presented as the main cause of the risk
 

AI

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Unintentional

Incident Reports

Reports Timeline

Incident OccurrenceMajor Universities Are Using Race as a “High Impact Predictor” of Student Success
Major Universities Are Using Race as a “High Impact Predictor” of Student Success

Major Universities Are Using Race as a “High Impact Predictor” of Student Success

themarkup.org

Major Universities Are Using Race as a “High Impact Predictor” of Student Success
themarkup.org · 2021

Major universities are using their students’ race, among other variables, to predict how likely they are to drop out of school. Documents obtained by The Markup through public records requests show that some schools are using education rese…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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