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Fairness in Large Language Models: A Taxonomic Survey
16 references·3 citing·28 second hop
Fairness in Large Language Models: A Taxonomic Survey (2024)Fairness in Large Language Models: A Taxo…Bias and Fairness in Large Language Models: A Survey (2024)Bias and Fairness in Large La…StereoSet: Measuring stereotypical bias in pretrained language models (2021)StereoSet: Measuring stereoty…Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (2021)Proceedings of the 2021 ACM C…Persistent Anti-Muslim Bias in Large Language Models (2021)Persistent Anti-Muslim Bias i…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (2020)Proceedings of the 2020 Confe…CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models (2020)CrowS-Pairs: A Challenge Data…On Measuring Social Biases in Sentence Encoders (2019)On Measuring Social Biases in…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)HISTORIAE, History of Socio-C…AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)AI Fairness 360: An extensibl…Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Fairness definitions explained (2018)Fairness definitions explainedData Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)Data Statements for Natural L…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness amidst non‐IID graph data: A literature review (2025)Fairness amidst non‐IID graph…Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey (2025)Deconstructing the ethics of …AI fairness in practice: Paradigm, challenges, and prospects (2024)AI fairness in practice: Para…Fairness through awareness (2012)Big Data's Disparate Impact (2014)Certifying and Removing Disparate Impact (2015)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Algorithmic Bias in Education (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Measuring individual differences in implicit cognition: The implicit association test. (1998)Dissecting racial bias in an algorithm used to manage the health of populations (2019)The Study of Second Language Acquisition (1996)CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials (2010)Publication Manual of the American Psychological Association (2011)Improving Fairness in Machine Learning Systems (2019)Fairness in Machine Learning: A Survey (2023)Mitigating Unwanted Biases with Adversarial Learning (2018)Bridging the Gap Between Ethics and Practice (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Trustworthy Artificial Intelligence: A Review (2022)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)The life cycle of large language models in education: A framework for understanding sources of bias (2024)Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models (2024)A survey on LLM-as-a-judge (2026)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)LEGAL-BERT: The Muppets straight out of Law School (2020)On the Opportunities and Risks of Foundation Models (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)
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References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2018Fairness definitions explained1,125 cited
  • 2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias884 cited
  • 2018Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science840 cited
  • 2024Bias and Fairness in Large Language Models: A Survey741 cited
  • 2021StereoSet: Measuring stereotypical bias in pretrained language models643 cited
  • 2021Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency541 cited
  • 2021Persistent Anti-Muslim Bias in Large Language Models476 cited
  • 2020Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency475 cited

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2019
On Measuring Social Biases in Sentence Encoders
461 cited
  • 2020CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models438 cited
  • Cited by

    • 2025Fairness amidst non‐IID graph data: A literature review29 cited
    • 2025Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey26 cited
    • 2024AI fairness in practice: Paradigm, challenges, and prospects19 cited