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The Cambridge Handbook of Artificial Intelligence
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The Cambridge Handbook of Artificial Intelligence (2022)The Cambridge Handbook of Artificial Inte…Ethics Guidelines for Trustworthy AI (2021)Ethics Guidelines for Trustwo…Navigating the Ethical Terrain of AI-Generated Text Tools: A Review (2024)Navigating the Ethical Terrai…Fair and equitable AI in biomedical research and healthcare: Social science perspectives (2023)Fair and equitable AI in biom…Artificial Intelligence in Contemporary Societies: Legal Status and Definition, Implementation in Public Sector across Various Countries (2023)Artificial Intelligence in Co…A Loosely Wittgensteinian Conception of the Linguistic Understanding of Large Language Models like BERT, GPT-3, and ChatGPT (2023)A Loosely Wittgensteinian Con…The Ethics of Psychological Artificial Intelligence: Clinical Considerations (2021)The Ethics of Psychological A…The Moral Choice Machine (2020)The Moral Choice MachineMeasuring individual differences in implicit cognition: The implicit association test. (1998)Measuring individual differences in implicit cognition: The implicit association test. (1998)Semantics derived automatically from language corpora contain human-like biases (2017)How to Design and Evaluate Research in Education (1990)Blindspot: hidden biases of good people (2014)Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial (2017)Artificial Intelligence, Virtual Reality, and Augmented Reality in Counseling: Distinctions, Evidence, and Research Considerations (2023)AI Guidelines and Ethical Readiness Inside SMEs: A Review and Recommendations (2024)Therapists and Technology: A Qualitative Study on AI′s Role in Counseling (2026)Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies (2015)Governance of artificial intelligence (2021)Talking AI into Being: The Narratives and Imaginaries of National AI Strategies and Their Performative Politics (2021)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)What Is It Like to Be a Bat? (1974)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)The bewitching AI: The Illusion of Communication with Large Language Models (2025)Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective (1988)Dissecting racial bias in an algorithm used to manage the health of populations (2019)The global landscape of AI ethics guidelines (2019)A Survey on Bias and Fairness in Machine Learning (2021)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Do humans identify AI-generated text better than machines? Evidence based on excerpts from German theses (2025)Generative Artificial Intelligence and the Creative Industries: A Bibliometric Review and Research Agenda (2026)A Deep Gravity model for mobility flows generation (2021)The flaws of policies requiring human oversight of government algorithms (2022)Trustworthy AI: A Computational Perspective (2022)
this work references cited by second hop

References

  • 2021Ethics Guidelines for Trustworthy AI406 cited

Cited by

  • 2023Fair and equitable AI in biomedical research and healthcare: Social science perspectives66 cited
  • 2023A Loosely Wittgensteinian Conception of the Linguistic Understanding of Large Language Models like BERT, GPT-3, and ChatGPT47 cited
  • 2023Artificial Intelligence in Contemporary Societies: Legal Status and Definition, Implementation in Public Sector across Various Countries42 cited
  • 2024Navigating the Ethical Terrain of AI-Generated Text Tools: A Review35 cited
  • 2020The Moral Choice Machine31 cited
  • 2021The Ethics of Psychological Artificial Intelligence: Clinical Considerations31 cited

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