Ethical Use of Machine Learning in Higher Education Admission

@misc{Fang2022, author = "Fang, Siqi", title = {{Ethical Use of Machine Learning in Higher Education Admission}}, howpublished = "\url{https://ir.hamilton.edu/do/32e61e84-27f5-429e-bf7b-74330a0229db}", institution = {Hamilton College}, year = 2022, month = apr, school = {Mathematics}, }
BibTeX
@misc{Fang2022,
       author = "Fang, Siqi",
       title =  {{Ethical Use of Machine Learning in Higher Education Admission}},
       howpublished = "\url{https://ir.hamilton.edu/do/32e61e84-27f5-429e-bf7b-74330a0229db}",
       institution = {Hamilton College},
       year = 2022,
       month = apr,
       school = {Mathematics},
}
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Creator
  • Fang, Siqi
    Role:
    Author
    Institution:
    Hamilton College
    Affiliation:
    Student
    Class Year:
    2023
Date

April 1st, 2022

Description

A machine learning model called GRADE was used for PhD admission at UT Austin from the year 2013-2020. The model was trained a small set of past admission decisions which are already bias and was used immediately without further tuning or human validation. The model will score all applicants and the decision is made without further human assessment for applicants with the highest and lowest score. Only 362/588 full human reviews are conducted with a few people admitted and the majority of the rest being rejected by algorithm.

Type of Work
Institution

Hamilton College

Area of Study
Course
Part of Collection

General Scholarship

Rights Statement

The copyright for this work is held by its creators and Hamilton College. More information

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