Auditing the Use of Language Models to Guide Hiring Decisions

3 April 2024

Papers citing "Auditing the Use of Language Models to Guide Hiring Decisions"

7 / 7 papers shown

Title
Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education Hayate Iso Pouya Pezeshkpour Nikita Bhutani Estevam R. Hruschka 58 0 0 24 Mar 2025
Hiring under Congestion and Algorithmic Monoculture: Value of Strategic Behavior Jackie Baek Hamsa Bastani Shihan Chen 36 0 0 27 Feb 2025
Towards Effective Discrimination Testing for Generative AI Thomas P. Zollo Nikita Rajaneesh Richard Zemel Talia B. Gillis Emily Black 30 1 0 31 Dec 2024
Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data Atmika Gorti Manas Gaur Aman Chadha 20 2 0 20 Aug 2024
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models Ze Wang Zekun Wu Xin Guan Michael Thaler Adriano Soares Koshiyama Skylar Lu Sachin Beepath Ediz Ertekin Jr. Maria Perez-Ortiz 32 4 0 17 Jun 2024
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender? Haozhe An Christabel Acquaye Colin Wang Zongxia Li Rachel Rudinger 31 12 0 15 Jun 2024
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016