Gender Discrimination in AI

@misc{Papert2022, author = "Papert, Nicole", title = {{Gender Discrimination in AI}}, howpublished = "\url{https://ir.hamilton.edu/do/a6f6e60b-7e1c-4147-a3e9-adb5a7b7f7bb}", institution = {Hamilton College}, year = 2022, month = apr, school = {Mathematics}, }
BibTeX
@misc{Papert2022,
       author = "Papert, Nicole",
       title =  {{Gender Discrimination in AI}},
       howpublished = "\url{https://ir.hamilton.edu/do/a6f6e60b-7e1c-4147-a3e9-adb5a7b7f7bb}",
       institution = {Hamilton College},
       year = 2022,
       month = apr,
       school = {Mathematics},
}
Copy BibTeX Copy BibTex
Creator
  • Papert, Nicole
    Role:
    Author
    Institution:
    Hamilton College
    Affiliation:
    Student
    Class Year:
    2022
Date

April 1st, 2022

Description

There are several studies revealing that AI tools used in job search applications and sites will promote different opportunities depending on the gender of the user. Specifically, men are typically shown more competitive job postings than women, given that the users have similar skills and qualifications. In this poster, I will closely examine why algorithms utilized for the job search process may present differently between men and women.

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

Back to top