
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Gender bias and stereotypes in Large Language Models
Hadas Kotek, Rikker Dockum, David Sun
(2023), pp. 12-24
Open Access | Times Cited: 105
Hadas Kotek, Rikker Dockum, David Sun
(2023), pp. 12-24
Open Access | Times Cited: 105
Showing 51-75 of 105 citing articles:
Evaluating the Effectiveness of AI Source Disclosure in Human–AI Communication
Gábor Bródy, Vincent Rouillard, Daniel Asherov, et al.
(2024)
Open Access | Times Cited: 1
Gábor Bródy, Vincent Rouillard, Daniel Asherov, et al.
(2024)
Open Access | Times Cited: 1
KoBBQ: Korean Bias Benchmark for Question Answering
Jiho Jin, Jiseon Kim, Nayeon Lee, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 507-524
Open Access | Times Cited: 1
Jiho Jin, Jiseon Kim, Nayeon Lee, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 507-524
Open Access | Times Cited: 1
Future Shock: Generative AI and the International AI Policy and Governance Crisis
David Leslie, Antonella Perini
Harvard data science review (2024), Iss. Special Issue 5
Open Access | Times Cited: 1
David Leslie, Antonella Perini
Harvard data science review (2024), Iss. Special Issue 5
Open Access | Times Cited: 1
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering
(2024)
Open Access | Times Cited: 1
(2024)
Open Access | Times Cited: 1
Is Attention All You Need? Toward a Conceptual Model for Social Awareness in Large Language Models
Gianmario Voria, Gemma Catolino, Fabio Palomba
(2024) Vol. 2005, pp. 69-73
Open Access | Times Cited: 1
Gianmario Voria, Gemma Catolino, Fabio Palomba
(2024) Vol. 2005, pp. 69-73
Open Access | Times Cited: 1
Playgrounds and Prejudices: Exploring Biases in Generative AI For Children.
Alexander Baines, Lidia Gruia, Gail Collyer-Hoar, et al.
(2024) Vol. 35, pp. 839-843
Closed Access | Times Cited: 1
Alexander Baines, Lidia Gruia, Gail Collyer-Hoar, et al.
(2024) Vol. 35, pp. 839-843
Closed Access | Times Cited: 1
Inductive Coding with ChatGPT - An Evaluation of Different GPT Models Clustering Qualitative Data into Categories
Clarissa Sabrina Arlinghaus, Charlotte Wulff, Günter W. Maier
(2024)
Closed Access | Times Cited: 1
Clarissa Sabrina Arlinghaus, Charlotte Wulff, Günter W. Maier
(2024)
Closed Access | Times Cited: 1
Implicit bias in LLMs: Bias in financial advice based on implied gender
Shir Etgar, Gal Oestreicher-Singer, Inbal Yahav
(2024)
Closed Access | Times Cited: 1
Shir Etgar, Gal Oestreicher-Singer, Inbal Yahav
(2024)
Closed Access | Times Cited: 1
ChatGPT as a Tool for Equitable Education in Engineering Classes
Sourojit Ghosh
(2024)
Open Access | Times Cited: 1
Sourojit Ghosh
(2024)
Open Access | Times Cited: 1
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng, Baoyu Jing, Zihao Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6666-6676
Open Access | Times Cited: 1
Lecheng Zheng, Baoyu Jing, Zihao Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6666-6676
Open Access | Times Cited: 1
Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays
Cynthia Zastudil, Christine Holyfield, Christine Kapp, et al.
(2024) Vol. 16, pp. 1-6
Closed Access | Times Cited: 1
Cynthia Zastudil, Christine Holyfield, Christine Kapp, et al.
(2024) Vol. 16, pp. 1-6
Closed Access | Times Cited: 1
The Elusiveness of Detecting Political Bias in Language Models
Riccardo Lunardi, David La Barbera, Kevin Roitero
(2024) Vol. 33, pp. 3922-3926
Closed Access | Times Cited: 1
Riccardo Lunardi, David La Barbera, Kevin Roitero
(2024) Vol. 33, pp. 3922-3926
Closed Access | Times Cited: 1
Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 1: Preliminary Evaluation
Geoffrey Currie, Johnathan Hewis, Elizabeth Hawk, et al.
Journal of Nuclear Medicine Technology (2024), pp. jnmt.124.268332-jnmt.124.268332
Closed Access | Times Cited: 1
Geoffrey Currie, Johnathan Hewis, Elizabeth Hawk, et al.
Journal of Nuclear Medicine Technology (2024), pp. jnmt.124.268332-jnmt.124.268332
Closed Access | Times Cited: 1
Surprising gender biases in GPT
Raluca Alexandra Fulgu, Valerio Capraro
Computers in Human Behavior Reports (2024), pp. 100533-100533
Open Access | Times Cited: 1
Raluca Alexandra Fulgu, Valerio Capraro
Computers in Human Behavior Reports (2024), pp. 100533-100533
Open Access | Times Cited: 1
In generative AI we trust: can chatbots effectively verify political information?
Elizaveta Kuznetsova, Mykola Makhortykh, Victoria Vziatysheva, et al.
Journal of Computational Social Science (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Elizaveta Kuznetsova, Mykola Makhortykh, Victoria Vziatysheva, et al.
Journal of Computational Social Science (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 1
The Impact of Generative AI on Creativity in Software Development: A Research Agenda
Victoria Jackson, Bogdan Vasilescu, Daniel Russo, et al.
ACM Transactions on Software Engineering and Methodology (2024)
Closed Access | Times Cited: 1
Victoria Jackson, Bogdan Vasilescu, Daniel Russo, et al.
ACM Transactions on Software Engineering and Methodology (2024)
Closed Access | Times Cited: 1
Detection of Latent Gender Biases in Data and Models Using the Approximate Generalized Inverse Method
Takafumi Nakanishi
(2024), pp. 191-196
Closed Access
Takafumi Nakanishi
(2024), pp. 191-196
Closed Access
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures
Agrima Seth, Sanchit Ahuja, Kalika Bali, et al.
SSRN Electronic Journal (2024)
Open Access
Agrima Seth, Sanchit Ahuja, Kalika Bali, et al.
SSRN Electronic Journal (2024)
Open Access
¿Es capaz GPT-4 de aprobar el MIR 2023? Comparativa entre GPT-4 y ChatGPT-3 en los exámenes MIR 2022 y 2023
Álvaro Cerame del Campo, Juan Juaneda, Pablo Estrella-Porter, et al.
Revista Española de Educación Médica (2024) Vol. 5, Iss. 2
Open Access
Álvaro Cerame del Campo, Juan Juaneda, Pablo Estrella-Porter, et al.
Revista Española de Educación Médica (2024) Vol. 5, Iss. 2
Open Access
2025 EAAI Mentored Undergraduate Research Challenge: Playing Word Association Games
Richard G. Freedman
AI Matters (2024) Vol. 10, Iss. 1, pp. 16-25
Closed Access
Richard G. Freedman
AI Matters (2024) Vol. 10, Iss. 1, pp. 16-25
Closed Access
AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities
Dylan Russon, Marta Avalos, Ariel Guerra-Adames, et al.
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2024) Vol. 37
Open Access
Dylan Russon, Marta Avalos, Ariel Guerra-Adames, et al.
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2024) Vol. 37
Open Access
The Social Consequences of Language Technologies and Their Underlying Language Ideologies
Maria Goldshtein, Jaclyn Ocumpaugh, Andrew Potter, et al.
Lecture notes in computer science (2024), pp. 271-290
Closed Access
Maria Goldshtein, Jaclyn Ocumpaugh, Andrew Potter, et al.
Lecture notes in computer science (2024), pp. 271-290
Closed Access
When Human-AI Interactions Become Parasocial: Agency and Anthropomorphism in Affective Design
Takuya Maeda, Anabel Quan‐Haase
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 24, pp. 1068-1077
Open Access
Takuya Maeda, Anabel Quan‐Haase
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 24, pp. 1068-1077
Open Access
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation
Jennifer Chien, David Danks
2022 ACM Conference on Fairness, Accountability, and Transparency (2024)
Open Access
Jennifer Chien, David Danks
2022 ACM Conference on Fairness, Accountability, and Transparency (2024)
Open Access