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Trustworthy AI
12 references·9 citing·41 second hop
Trustworthy AI (2021)Trustworthy AIPrincipled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI (2020)Principled Artificial Intelli…Verbal probabilities: Very likely to be somewhat more confusing than numbers (2019)Verbal probabilities: Very li…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Responsible Artificial Intelligence (2019)Responsible Artificial Intell…INTERNATIONAL HUMAN RIGHTS LAW AS A FRAMEWORK FOR ALGORITHMIC ACCOUNTABILITY (2019)INTERNATIONAL HUMAN RIGHTS LA…Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning (2019)Better, Nicer, Clearer, Faire…AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)AI4People—An Ethical Framewor…The Off-Switch Game (2017)The Off-Switch GameWould You Trust a (Faulty) Robot? (2015)Would You Trust a (Faulty) Ro…Smart Technologies and the End(s) of Law (2015)Smart Technologies and the En…Taking Rights Seriously (1978)Taking Rights SeriouslyThe Theory of Games and Economic Behavior (1945)The Theory of Games and Econo…Building Trust in Artificial Intelligence: A Systematic Review through the Lens of Trust Theory (2026)Building Trust in Artificial …Trust, trustworthiness and AI governance (2024)Trust, trustworthiness and AI…Towards more sustainable and trustworthy reporting in machine learning (2024)Towards more sustainable and …Failures in the Loop: Human Leadership in AI-Based Decision-Making (2024)Failures in the Loop: Human L…Establishing and evaluating trustworthy AI: overview and research challenges (2024)Establishing and evaluating t…Could generative artificial intelligence serve as a psychological counselor? Prospects and limitations (2024)Could generative artificial i…Validation and interpretation of a multimodal drowsiness detection system using explainable machine learning (2023)Validation and interpretation…Assessing deep learning: a work program for the humanities in the age of artificial intelligence (2023)Assessing deep learning: a wo…Cancritical policy studiesoutsmart AI? Research agenda on artificial intelligence technologies and public policy (2022)Cancritical policy studiesout…A very brief measure of the Big-Five personality domains (2003)A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction (2011)Trust in Automation (2014)Overtrust of robots in emergency evacuation scenarios (2016)Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams (2019)A Systematic Review of Attitudes, Anxiety, Acceptance, and Trust Towards Social Robots (2020)Framing: Toward Clarification of a Fractured Paradigm (1993)Critical Discourse Analysis: The Critical Study of Language (1995)Critical discourse analysis: The critical study of language (1996)Roles for computing in social change (2020)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Artificial Intelligence Regulation: a framework for governance (2021)On the Morality of Artificial Agents (2004)The responsibility gap: Ascribing responsibility for the actions of learning automata (2004)Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)AI for humanitarian action: Human rights and ethics (2020)International migration management in the age of artificial intelligence (2020)From human resources to human rights: Impact assessments for hiring algorithms (2021)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Principles alone cannot guarantee ethical AI (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)What is Legal Pluralism? (1986)Justice as Fairness: Political Not Metaphysical (1991)Building on the Foundation of General Strain Theory: Specifying the Types of Strain Most Likely to Lead to Crime and Delinquency (2001)Frontiers in Group Dynamics (1947)A Method for Evaluating the Distribution of Power in a Committee System (1954)Measurement of health state utilities for economic appraisal (1986)Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data (2017)Societal and ethical issues of digitization (2018)Datafication (2019)On the Opportunities and Risks of Foundation Models (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)Bridging the Gap Between Ethics and Practice (2020)Artificial intelligence, systemic risks, and sustainability (2021)Responsible artificial intelligence governance: A review and research framework (2025)An Overview of Artificial Intelligence Ethics (2022)Thinking responsibly about responsible AI and ‘the dark side’ of AI (2022)Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making (2024)
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References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 1978Taking Rights Seriously5,459 cited
  • 1945The Theory of Games and Economic Behavior5,134 cited
  • 2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations4,732 cited
  • 2019Responsible Artificial Intelligence1,064 cited
  • 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI998 cited
  • 2015Would You Trust a (Faulty) Robot?493 cited
  • 2019Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning385 cited
  • 2015Smart Technologies and the End(s) of Law354 cited
  • 2019INTERNATIONAL HUMAN RIGHTS LAW AS A FRAMEWORK FOR ALGORITHMIC ACCOUNTABILITY207 cited
  • 2017The Off-Switch Game118 cited
  • 2019Verbal probabilities: Very likely to be somewhat more confusing than numbers100 cited

Cited by

  • 2024Trust, trustworthiness and AI governance68 cited
  • 2024Establishing and evaluating trustworthy AI: overview and research challenges59 cited
  • 2023Validation and interpretation of a multimodal drowsiness detection system using explainable machine learning

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51 cited
  • 2022Cancritical policy studiesoutsmart AI? Research agenda on artificial intelligence technologies and public policy45 cited
  • 2024Failures in the Loop: Human Leadership in AI-Based Decision-Making21 cited
  • 2026Building Trust in Artificial Intelligence: A Systematic Review through the Lens of Trust Theory17 cited
  • 2023Assessing deep learning: a work program for the humanities in the age of artificial intelligence13 cited
  • 2024Towards more sustainable and trustworthy reporting in machine learning12 cited
  • 2024Could generative artificial intelligence serve as a psychological counselor? Prospects and limitations3 cited