The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA-Reference-Cited by-同舟云学术

The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA

Published:2023-10-30 Issue: Volume: Page:
ISSN:
Container-title:Equity and Access in Algorithms, Mechanisms, and Optimization
language:
Short-container-title:

Author:

Salinas Abel¹^ORCID,Shah Parth¹^ORCID,Huang Yuzhong¹^ORCID,McCormack Robert²^ORCID,Morstatter Fred¹^ORCID

Affiliation:

1. University of Southern California, Information Sciences Institute, USA

2. Aptima Inc, USA

Funder

Defense Advanced Research Projects Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3617694.3623257

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5. Su Lin Blodgett , Gilsinia Lopez , Alexandra Olteanu , Robert Sim , and Hanna M. Wallach . 2021 . Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets. In Annual Meeting of the Association for Computational Linguistics. Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, and Hanna M. Wallach. 2021. Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets. In Annual Meeting of the Association for Computational Linguistics.

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