Algorithmic bias (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Algorithmic bias" in English language version.

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aclanthology.org

Friðriksdóttir, Steinunn Rut; Einarsson, Hafsteinn (2024), "Gendered Grammar or Ingrained Bias? Exploring Gender Bias in Icelandic Language Models", Lrec-Coling 2024: 7596–7610
Feng, Shangbin; Park, Chan Young; Liu, Yuhan; Tsvetkov, Yulia (July 2023). Rogers, Anna; Boyd-Graber, Jordan; Okazaki, Naoaki (eds.). "From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models". Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Toronto, Canada: Association for Computational Linguistics: 11737–11762. arXiv:2305.08283. doi:10.18653/v1/2023.acl-long.656.

acm.org

dl.acm.org

Suresh, Harini; Guttag, John (November 4, 2021). "A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle". Equity and Access in Algorithms, Mechanisms, and Optimization. EAAMO '21. New York, NY, USA: Association for Computing Machinery. pp. 1–9. doi:10.1145/3465416.3483305. ISBN 978-1-4503-8553-4. S2CID 235436386.
Mehrabi, N.; Morstatter, F.; Saxena, N.; Lerman, K.; Galstyan, A. (2021). "A survey on bias and fairness in machine learning". ACM Computing Surveys. 54 (6): 1–35. arXiv:1908.09635. doi:10.1145/3457607. Retrieved April 30, 2025.
Busker, Tony; Choenni, Sunil; Shoae Bargh, Mortaza (November 20, 2023). "Stereotypes in ChatGPT: An empirical study". Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance. ICEGOV '23. New York, NY, USA: Association for Computing Machinery. pp. 24–32. doi:10.1145/3614321.3614325. ISBN 979-8-4007-0742-1.
Kotek, Hadas; Dockum, Rikker; Sun, David (November 5, 2023). "Gender bias and stereotypes in Large Language Models". Proceedings of the ACM Collective Intelligence Conference. CI '23. New York, NY, USA: Association for Computing Machinery. pp. 12–24. arXiv:2308.14921. doi:10.1145/3582269.3615599. ISBN 979-8-4007-0113-9.
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allthingsd.com

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archive.org

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arxiv.org

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Kotek, Hadas; Dockum, Rikker; Sun, David (November 5, 2023). "Gender bias and stereotypes in Large Language Models". Proceedings of the ACM Collective Intelligence Conference. CI '23. New York, NY, USA: Association for Computing Machinery. pp. 12–24. arXiv:2308.14921. doi:10.1145/3582269.3615599. ISBN 979-8-4007-0113-9.
Cheng, Myra; Durmus, Esin; Jurafsky, Dan (May 29, 2023), Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models, arXiv:2305.18189
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Feng, Shangbin; Park, Chan Young; Liu, Yuhan; Tsvetkov, Yulia (July 2023). Rogers, Anna; Boyd-Graber, Jordan; Okazaki, Naoaki (eds.). "From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models". Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Toronto, Canada: Association for Computational Linguistics: 11737–11762. arXiv:2305.08283. doi:10.18653/v1/2023.acl-long.656.
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