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Participant Interactions with Artificial Intelligence: Using Large Language Models to Generate Research Materials for Surveys and Experiments
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Participant Interactions with Artificial Intelligence: Using Large Language Models to Generate Research Materials for Surveys and Experiments (2025)Participant Interactions with Artificial …Large language models that replace human participants can harmfully misportray and flatten identity groups (2025)Large language models that re…The Values Encoded in Machine Learning Research (2022)The Values Encoded in Machine…Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models. (2022)Auditing the AI auditors: A f…Mitigating bias in algorithmic hiring (2020)Mitigating bias in algorithmi…Ethical Principles of Psychologists and Code of Conduct. (2015)Ethical Principles of Psychol…Educational measurement. (2015)Educational measurement.The Essential Impact of Context on Organizational Behavior (2006)The Essential Impact of Conte…Cognitive Reflection and Decision Making (2005)Cognitive Reflection and Deci…Experimental and Quasi-Experimental Designs for Research (1963)Intrinsic Motivation and Self-Determination in Human Behavior (1985)Intrinsic Motivation and Self-Determination in Human Behavior (1988)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Time Discounting and Time Preference: A Critical Review (2002)The trouble with overconfidence. (2008)Conditions for intuitive expertise: A failure to disagree. (2009)The Polarizing Impact of Science Literacy and Numeracy on Perceived Climate Change Risks (2012)Content Analysis: An Introduction to its Methodology. (1984)Qualitative evaluation and research methods (1990)Three Approaches to Qualitative Content Analysis (2005)Putting AI ethics to work: are the tools fit for purpose? (2021)Ethics and diversity in artificial intelligence policies, strategies and initiatives (2022)Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (2023)Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings. (1963)Big Data's Disparate Impact (2014)Certifying and Removing Disparate Impact (2015)Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development (2020)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)Fairness in Machine Learning: A Survey (2023)The Problem of Speaking for Others (1991)Epistemic Injustice (2007)ChatGPT outperforms crowd workers for text-annotation tasks (2023)Evaluating Generative AI Psychotherapy Chatbots Used by Youth: Cross-Sectional Study (2025)Take caution in using LLMs as human surrogates (2025)The homogenizing effect of large language models on human expression and thought (2026)Distinguishing addiction and high engagement in the context of online game playing (2005)Cultural considerations in adolescent suicide prevention and psychosocial treatment. (2008)The Case for Cultural Competency in Psychotherapeutic Interventions (2008)Auditing of AI: Legal, Ethical and Technical Approaches (2023)Bias and ethics of AI systems applied in auditing - A systematic review (2024)Ethics-based AI auditing: A systematic literature review on conceptualizations of ethical principles and knowledge contributions to stakeholders (2024)Self-Concept: Validation of Construct Interpretations (1976)Thirteen Ways to Look at the Correlation Coefficient (1988)A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students (2004)
this work references cited by second hop

References

  • 2005Cognitive Reflection and Decision Making5,253 cited
  • 2006The Essential Impact of Context on Organizational Behavior3,540 cited
  • 2015Educational measurement.2,272 cited
  • 2015Ethical Principles of Psychologists and Code of Conduct.1,679 cited
  • 2020Mitigating bias in algorithmic hiring830 cited
  • 2022The Values Encoded in Machine Learning Research316 cited
  • 2022Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models.233 cited
  • 2025Large language models that replace human participants can harmfully misportray and flatten identity groups119 cited

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