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The increasing use of Large Language Models (LLMs) in a large variety of domains has sparked worries about how easily they can perpetuate stereotypes and contribute to the generation of biased content. With a focus on gender and…

计算与语言 · 计算机科学 2025-07-28 Gioele Giachino , Marco Rondina , Antonio Vetrò , Riccardo Coppola , Juan Carlos De Martin

With the introduction of ChatGPT, OpenAI made large language models (LLM) accessible to users with limited IT expertise. However, users with no background in natural language processing (NLP) might lack a proper understanding of LLMs. Thus…

计算与语言 · 计算机科学 2024-05-14 Stefanie Urchs , Veronika Thurner , Matthias Aßenmacher , Christian Heumann , Stephanie Thiemichen

The growing prominence of large language models (LLMs) in daily life has heightened concerns that LLMs exhibit many of the same gender-related biases as their creators. In the context of hiring decisions, we quantify the degree to which…

计算机与社会 · 计算机科学 2026-04-02 Nina Gerszberg , Janka Hamori , Andrew Lo

Large Language Models (LLMs) have made substantial progress in the past several months, shattering state-of-the-art benchmarks in many domains. This paper investigates LLMs' behavior with respect to gender stereotypes, a known issue for…

计算与语言 · 计算机科学 2023-08-30 Hadas Kotek , Rikker Dockum , David Q. Sun

Large language models (LLMs) reflect societal norms and biases, especially about gender. While societal biases and stereotypes have been extensively researched in various NLP applications, there is a surprising gap for emotion analysis.…

计算与语言 · 计算机科学 2024-05-29 Flor Miriam Plaza-del-Arco , Amanda Cercas Curry , Alba Curry , Gavin Abercrombie , Dirk Hovy

Large language models are quickly gaining momentum, yet are found to demonstrate gender bias in their responses. In this paper, we conducted a content analysis of social media discussions to gauge public perceptions of gender bias in LLMs…

人工智能 · 计算机科学 2023-09-19 Kyrie Zhixuan Zhou , Madelyn Rose Sanfilippo

With the growing deployment of large language models (LLMs) across various applications, assessing the influence of gender biases embedded in LLMs becomes crucial. The topic of gender bias within the realm of natural language processing…

计算与语言 · 计算机科学 2024-03-04 Jinman Zhao , Yitian Ding , Chen Jia , Yining Wang , Zifan Qian

Large Language models (LLMs), such as ChatGPT, have gained popularity in recent years with the advancement of Natural Language Processing (NLP), with use cases spanning many disciplines and daily lives as well. LLMs inherit explicit and…

计算与语言 · 计算机科学 2025-12-01 Fatima Kazi

LLMs have emerged as a promising tool for assisting individuals in diverse text-generation tasks, including job-related texts. However, LLM-generated answers have been increasingly found to exhibit gender bias. This study evaluates three…

计算与语言 · 计算机科学 2024-12-02 Haein Kong , Yongsu Ahn , Sangyub Lee , Yunho Maeng

This study investigates gender bias in large language models (LLMs) by comparing their gender perception to that of human respondents, U.S. Bureau of Labor Statistics data, and a 50% no-bias benchmark. We created a new evaluation set using…

计算与语言 · 计算机科学 2024-11-22 Tetiana Bas

The integration of large language models (LLMs) into healthcare holds promise to enhance clinical decision-making, yet their susceptibility to biases remains a critical concern. Gender has long influenced physician behaviors and patient…

Large language models (LLMs) acquire beliefs about gender from training data and can therefore generate text with stereotypical gender attitudes. Prior studies have demonstrated model generations favor one gender or exhibit stereotypes…

计算与语言 · 计算机科学 2024-10-16 Sharon Levy , William D. Adler , Tahilin Sanchez Karver , Mark Dredze , Michelle R. Kaufman

Large language models (LLMs) are increasingly used for everyday communication tasks, including drafting interpersonal messages intended to influence and persuade. Prior work has shown that LLMs can successfully persuade humans and amplify…

计算与语言 · 计算机科学 2026-01-12 Amalie Brogaard Pauli , Maria Barrett , Max Müller-Eberstein , Isabelle Augenstein , Ira Assent

Large Language Models (LLMs) have an increasing impact on our lives with use cases such as chatbots, study support, coding support, ideation, writing assistance, and more. Previous studies have revealed linguistic biases in pronouns used to…

计算与语言 · 计算机科学 2024-06-17 Smilla Due , Sneha Das , Marianne Andersen , Berta Plandolit López , Sniff Andersen Nexø , Line Clemmensen

Gender bias in artificial intelligence (AI) and natural language processing has garnered significant attention due to its potential impact on societal perceptions and biases. This research paper aims to analyze gender bias in Large Language…

计算与语言 · 计算机科学 2023-09-04 Vishesh Thakur

Over the last year, Large Language Models (LLMs) like ChatGPT have become widely available and have exhibited fairness issues similar to those in previous machine learning systems. Current research is primarily focused on analyzing and…

机器学习 · 计算机科学 2024-04-04 Anna Kruspe

Large language models (LLMs) are becoming pervasive in everyday life, yet their propensity to reproduce biases inherited from training data remains a pressing concern. Prior investigations into bias in LLMs have focused on the association…

计算与语言 · 计算机科学 2024-04-29 Messi H. J. Lee , Jacob M. Montgomery , Calvin K. Lai

Large Language Models (LLMs) such as ChatGPT have become increasingly integrated into critical activities of daily life, raising concerns about equitable access and utilization across diverse demographics. This study investigates the usage…

计算机与社会 · 计算机科学 2023-10-11 Fiona Draxler , Daniel Buschek , Mikke Tavast , Perttu Hämäläinen , Albrecht Schmidt , Juhi Kulshrestha , Robin Welsch

With the impressive performance in various downstream tasks, large language models (LLMs) have been widely integrated into production pipelines, like recruitment and recommendation systems. A known issue of models trained on natural…

计算与语言 · 计算机科学 2025-01-22 Damin Zhang , Yi Zhang , Geetanjali Bihani , Julia Rayz

LLMs are increasingly embedded in programming workflows, from code generation to automated code review. Yet, how gendered communication styles interact with LLM-assisted programming and code review remains underexplored. We present a…

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