SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey
16 references·1 citing·34 second hop
Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey (2025)Deconstructing the ethics of large langua…Bias and Fairness in Large Language Models: A Survey (2024)Bias and Fairness in Large La…Regulating ChatGPT and other Large Generative AI Models (2023)Regulating ChatGPT and other …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…A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)A Framework of Potential Sour…The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation (2020)The Chinese approach to artif…Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection (2020)Null It Out: Guarding Protect…Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Language (Technology) is Powe…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…The General Data Protection Regulation (2018)The General Data Protection R…The EU General Data Protection Regulation (GDPR) (2017)The EU General Data Protectio…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Fairness through awareness (2012)Fairness through awarenessData preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Validating Large Language Models for Title-Abstract Screening in Low-Prevalence Systematic Reviews: An Environmental Science Case Study (2026)Validating Large Language Mod…Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Equality of Opportunity in Supervised Learning (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)Measuring individual differences in implicit cognition: The implicit association test. (1998)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)The Black Box Society: The Secret Algorithms That Control Money and Information (2016)A Unified Framework of Five Principles for AI in Society (2019)Ethical framework for Artificial Intelligence and Digital technologies (2021)The ethics of algorithms: key problems and solutions (2021)The Ethics of Artificial Intelligence (2023)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Unsettling race and language: Toward a raciolinguistic perspective (2017)Towards a standard for identifying and managing bias in artificial intelligence (2022)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)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)Counterfactual Fairness (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Can Foundation Models Wrangle Your Data? (2022)m-Path: an easy-to-use and highly tailorable platform for ecological momentary assessment and intervention in behavioral research and clinical practice (2023)Corporate digital responsibility (2019)The European Legislation on AI: a Brief Analysis of its Philosophical Approach (2021)The flaws of policies requiring human oversight of government algorithms (2022)
this work references cited by second hop

References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2012Fairness through awareness3,501 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2017The EU General Data Protection Regulation (GDPR)2,592 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 2020Language (Technology) is Power: A Critical Survey of “Bias” in NLP1,044 cited
  • 2018The General Data Protection Regulation991 cited
  • 2024Bias and Fairness in Large Language Models: A Survey741 cited
  • 2020The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation573 cited
  • 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
  • 2021Persistent Anti-Muslim Bias in Large Language Models476 cited
  • 2023Regulating ChatGPT and other Large Generative AI Models466 cited
  • 2019On Measuring Social Biases in Sentence Encoders461 cited
  • 2020CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

438 cited
  • 2020Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection286 cited
  • Cited by

    • 2026Validating Large Language Models for Title-Abstract Screening in Low-Prevalence Systematic Reviews: An Environmental Science Case Study6 cited