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Building Trust in Artificial Intelligence: A Systematic Review through the Lens of Trust Theory
16 references·0 citing·44 second hopsampled
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(1986)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy (2020)Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges (2023)The global landscape of AI ethics guidelines (2019)A Survey on Bias and Fairness in Machine Learning (2021)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)How to teach responsible AI in Higher Education: challenges and opportunities (2023)Developing trustworthy artificial intelligence: insights from research on interpersonal, human-automation, and human-AI trust (2024)Ethics-based AI auditing: A systematic literature review on conceptualizations of ethical principles and knowledge contributions to stakeholders (2024)Firm Resources and Sustained Competitive Advantage (1991)Common method biases in behavioral research: A critical review of the literature and recommended remedies. 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References

  • 2020Human Trust in Artificial Intelligence: Review of Empirical Research2,874 cited
  • 2022Trust in AI and Its Role in the Acceptance of AI Technologies961 cited
  • 2020Data governance: Organizing data for trustworthy Artificial Intelligence805 cited
  • 2020Bridging the Gap Between Ethics and Practice747 cited
  • 2022Trustworthy Artificial Intelligence: A Review707 cited
  • 2022Trustworthy AI: From Principles to Practices609 cited
  • 2020In AI We Trust: Ethics, Artificial Intelligence, and Reliability598 cited
  • 2020Trustworthy artificial intelligence594 cited
  • 2022AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework529 cited
  • 2022The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust502 cited
  • 2020Attachment and trust in artificial intelligence447 cited
  • 2021Trust in Artificial Intelligence: Meta-Analytic Findings392 cited
  • 2019The EU Approach to Ethics Guidelines for Trustworthy Artificial Intelligence355 cited
  • 2022Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework

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330 cited
  • 2023Ethical Dilemmas and Privacy Issues in Emerging Technologies: A Review323 cited
  • 2021Motivations, barriers and risks of smart home adoption: From systematic literature review to conceptual framework279 cited
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