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Integration of artificial intelligence of things (AIoT) in the public sector: drivers, barriers and future research agenda
16 references·2 citing·50 second hop
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The case of generative AI (2024)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Development and validation of an instrument to measure undergraduate students’ attitudes toward the ethics of artificial intelligence (AT-EAI) and analysis of its difference by gender and experience of AI education (2022)Assessing the nexus of Generative AI adoption, ethical considerations and organizational performance (2024)Understanding User Attitudes Towards AI-Enabled Technologies: An Integrated Model of Self-Efficacy, TAM, and AI Ethics (2024)Artificial Intelligence and Business Value: a Literature Review (2021)Ethics and discrimination in artificial intelligence-enabled recruitment practices (2023)Regulating ChatGPT and other Large Generative AI Models (2023)
this work references cited by second hop

References

  • 2018Artificial Intelligence and the Public Sector—Applications and Challenges1,579 cited
  • 2020AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings698 cited
  • 2013Privacy in the Internet of Things: threats and challenges613 cited
  • 2020Human–AI Interactions in Public Sector Decision Making: “Automation Bias” and “Selective Adherence” to Algorithmic Advice588 cited
  • 2022Artificial intelligence for the public sector: results of landscaping the use of AI in government across the European Union356 cited
  • 2019IoT and AI for Smart Government: A Research Agenda313 cited
  • 2020Strengthening legal protection against discrimination by algorithms and artificial intelligence267 cited
  • 2022Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods230 cited
  • 2019Beyond design and use: How scholars should study intelligent technologies210 cited
  • 2022Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence208 cited
  • 2022Artificial intelligence in public services: When and why citizens accept its usage194 cited
  • 2022Algorithm awareness: Why user awareness is critical for personal privacy in the adoption of algorithmic platforms?194 cited
  • 2020Strengthening digital inclusion through e-government: cohesive ICT training programs to intensify digital competency

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163 cited
  • 2018Game changing value from Artificial Intelligence: eight strategies146 cited
  • 2021Discrimination in the age of artificial intelligence121 cited
  • 2018An integrative public IoT framework for smart government121 cited
  • Cited by

    • 2025The efficacy of UTAUT3 in AIoT integration within library systems4 cited
    • 2024A Literature Review on Smart Technologies in Service Systems: HOW Should We Work in Future?4 cited