Entities
View all entitiesIncident Stats
CSETv1 Taxonomy Classifications
Taxonomy DetailsIncident Number
135
CSETv1_Annotator-1 Taxonomy Classifications
Taxonomy DetailsIncident Number
135
Notes (special interest intangible harm)
The GRADE algorithm, which was designed to predict which students most closely matched previously successful PhD applicants, encoded previous biases in admissions.
Special Interest Intangible Harm
yes
Date of Incident Year
2013
CSETv1_Annotator-3 Taxonomy Classifications
Taxonomy DetailsIncident Number
135
Incident Reports
Reports Timeline

- View the original report at its source
- View the report at the Internet Archive
A university announced it had ditched its machine-learning tool, used to filter thousands of PhD applications, right as the software's creators were giving a talk about the code and drawing public criticism.
The GRADE algorithm was develope…

- View the original report at its source
- View the report at the Internet Archive
U of Texas at Austin has stopped using a machine-learning system to evaluate applicants for its Ph.D. in computer science. Critics say the system exacerbates existing inequality in the field.
In 2013, the University of Texas at Austin’s com…