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Expectation management in AI: A framework for understanding stakeholder trust and acceptance of artificial intelligence systems
16 references·4 citing·49 second hop
Expectation management in AI: A framework for understanding stakeholder trust and acceptance of artificial intelligence systems (2024)Expectation management in AI: A framework…A Review on Fairness in Machine Learning (2022)A Review on Fairness in Machi…Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation (2021)Cognitive Challenges in Human…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Unleashing the convergence amid digitalization and sustainability towards pursuing the Sustainable Development Goals (SDGs): A holistic review (2020)Unleashing the convergence am…The Ethics of AI Ethics: An Evaluation of Guidelines (2020)The Ethics of AI Ethics: An E…AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings (2020)AI governance in the public s…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…How and where is artificial intelligence in the public sector going? A literature review and research agenda (2019)How and where is artificial i…Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …The European Union General Data Protection Regulation: What It Is And What It Means (2018)The European Union General Da…Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare (2018)Mapping the challenges of Art…Artificial Intelligence and the 'Good Society': The US, EU, and UK Approach (2016)Artificial Intelligence and t…Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Consumer Acceptance and Use o…Data preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Qualitative Content Analysis (2008)Qualitative Content AnalysisHow to make product development projects more successful by integrating Kano's model of customer satisfaction into quality function deployment (1998)How to make product developme…Understanding user trust in AI-generated content: an elaboration likelihood model perspective (2025)Understanding user trust in A…Do consumers’ perceptions of algorithms and trusting beliefs in providers affect perceived structural assurances of AI-powered applications? 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References

  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
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  • 2020Unleashing the convergence amid digitalization and sustainability towards pursuing the Sustainable Development Goals (SDGs): A holistic review

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577 cited
  • 2019How and where is artificial intelligence in the public sector going? A literature review and research agenda500 cited
  • 2021Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation491 cited
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    • 2024Do consumers’ perceptions of algorithms and trusting beliefs in providers affect perceived structural assurances of AI-powered applications?18 cited
    • 2025Understanding user trust in AI-generated content: an elaboration likelihood model perspective13 cited