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Large Language Models Are Biased Because They Are Large Language Models
16 references·1 citing·44 second hop
Large Language Models Are Biased Because They Are Large Language Models (2025)Large Language Models Are Biased Because …Bias and Fairness in Large Language Models: A Survey (2024)Bias and Fairness in Large La…AI generates covertly racist decisions about people based on their dialect (2024)AI generates covertly racist …Is the world ready for ChatGPT therapists? (2023)Is the world ready for ChatGP…Quantifying Societal Bias Amplification in Image Captioning (2022)Quantifying Societal Bias Amp…Syntactic Structure from Deep Learning (2020)Syntactic Structure from Deep…Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Language (Technology) is Powe…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Surfing Uncertainty (2015)Surfing UncertaintyReconstructing constructivism: Causal models, Bayesian learning mechanisms, and the theory theory. (2012)Reconstructing constructivism…Homo Heuristicus: Why Biased Minds Make Better Inferences (2009)Homo Heuristicus: Why Biased …Measurement Validity: A Shared Standard for Qualitative and Quantitative Research (2001)Measurement Validity: A Share…The symbol grounding problem (1990)The symbol grounding problemHuman Error (1990)Human ErrorRational choice and the structure of the environment. (1956)Rational choice and the struc…IX.—Essentially Contested Concepts (1956)IX.—Essentially Contested Con…Distributional Structure (1954)Distributional StructureAI as Governance (2025)AI as GovernanceThe theory of decision making. (1954)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)The Framing of Decisions and the Psychology of Choice (1981)Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment. (1983)Individual differences in reasoning: Implications for the rationality debate? (2000)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Minds, brains, and programs (1980)Connectionism and cognitive architecture: A critical analysis (1988)Origins of the modern mind: three stages in the evolution of culture and cognition (1992)Grounding language in action (2002)Automaticity: A Theoretical and Conceptual Analysis. (2006)Judgment under Uncertainty: Heuristics and Biases (1974)The Evolution of Cooperation (1981)Heuristic Decision Making (2010)Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory (2013)Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing (2021)Measuring individual differences in implicit cognition: The implicit association test. (1998)Measuring individual differences in implicit cognition: The implicit association test. (1998)Computing Machinery and Intelligence (1950) (2004)Dissecting racial bias in an algorithm used to manage the health of populations (2019)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Algorithmic Bias in Education (2021)On the Opportunities and Risks of Foundation Models (2021)The Practice of Social Research (1989)Structural Equations with Latent Variables. (1991)Capitalism, Socialism and Democracy (1997)Nested Analysis as a Mixed-Method Strategy for Comparative Research (2005)State Repression and Political Order (2007)Set-Theoretic Methods for the Social Sciences: A Guide to Qualitative Comparative Analysis (2012)Power in International Politics (2005)Circular economy as an essentially contested concept (2017)Principles alone cannot guarantee ethical AI (2019)Language in Relation to a Unified Theory of the Structure of Human Behavior (1967)Theories of Lexical Semantics (2009)Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change (2016)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)A group-level model of safety climate: Testing the effect of group climate on microaccidents in manufacturing jobs. (2000)A study of the lagged relationships among safety climate, safety motivation, safety behavior, and accidents at the individual and group levels. (2006)Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis (2017)Towards a neuroscience of active sampling and curiosity (2018)REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics (2019)
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References

  • 1956Rational choice and the structure of the environment.5,918 cited
  • 1990Human Error5,105 cited
  • 1954Distributional Structure4,815 cited
  • 1990The symbol grounding problem4,233 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,980 cited
  • 1956IX.—Essentially Contested Concepts2,288 cited
  • 2009Homo Heuristicus: Why Biased Minds Make Better Inferences1,799 cited
  • 2001Measurement Validity: A Shared Standard for Qualitative and Quantitative Research1,600 cited
  • 2015Surfing Uncertainty1,357 cited
  • 2020Language (Technology) is Power: A Critical Survey of “Bias” in NLP1,137 cited
  • 2024Bias and Fairness in Large Language Models: A Survey897 cited
  • 2012Reconstructing constructivism: Causal models, Bayesian learning mechanisms, and the theory theory.665 cited
  • 2024AI generates covertly racist decisions about people based on their dialect367 cited
  • 2020Syntactic Structure from Deep Learning201 cited
  • 2022Quantifying Societal Bias Amplification in Image Captioning49 cited
  • 2023Is the world ready for ChatGPT therapists?

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  • 2025AI as Governance18 cited