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Artificial intelligence in governance: recent trends, risks, challenges, innovative frameworks and future directions
16 references·3 citing·38 second hop
Artificial intelligence in governance: recent trends, risks, challenges, innovative frameworks and future directions (2025)Artificial intelligence in governance: re…Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk (2023)Trustworthy artificial intell…Artificial Intelligence Regulation: a framework for governance (2021)Artificial Intelligence Regul…The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration (2020)The Dark Sides of Artificial …Data governance: Organizing data for trustworthy Artificial Intelligence (2020)Data governance: Organizing d…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…Responsible Artificial Intelligence (2019)Responsible Artificial Intell…Principles alone cannot guarantee ethical AI (2019)Principles alone cannot guara…Governing artificial intelligence: ethical, legal and technical opportunities and challenges (2018)Governing artificial intellig…Discrimination in the Age of Algorithms (2018)Discrimination in the Age of …AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)AI4People—An Ethical Framewor…Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation (2017)Why a Right to Explanation of…The EU General Data Protection Regulation (GDPR): European Regulation that has a Global Impact (2017)The EU General Data Protectio…Society-in-the-loop: programming the algorithmic social contract (2017)Society-in-the-loop: programm…A Layered Model for AI Governance (2017)A Layered Model for AI Govern…The future of employment: How susceptible are jobs to computerisation? (2016)The future of employment: How…RETRACTED: Artificial intelligence and employee performance in Uganda’s healthcare institutions: exploring the mediation effects of perceived ease of use and skills enhancement (2025)RETRACTED: Artificial intelli…Responsible AI starts with the artifact: Challenging the concept of responsible AI in IS research (2025)Responsible AI starts with th…Human-Controllable AI: Meaningful Human Control (2025)Human-Controllable AI: Meanin…Judgment under Uncertainty (1982)Capitalism, Socialism and Democracy (1997)The Skill Content of Recent Technological Change: An Empirical Exploration (2003)Why Are There Still So Many Jobs? The History and Future of Workplace Automation (2015)Robots at Work (2018)Algorithms at Work: The New Contested Terrain of Control (2019)A theory of justice original editionCRITICAL QUESTIONS FOR BIG DATA (2012)Semantics derived automatically from language corpora contain human-like biases (2017)Artificial Intelligence and the Public Sector—Applications and Challenges (2018)Governance of artificial intelligence (2021)Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)The ethics of algorithms: Mapping the debate (2016)Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)Legal and human rights issues of AI: Gaps, challenges and vulnerabilities (2020)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)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Ethical Decision Making by Individuals in Organizations: An Issue-Contingent Model (1991)Artificial Intelligence, Values, and Alignment (2020)Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)Data quality in context (1997)Designing data governance (2009)6th SGEM International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS Proceedings, Modern Science (2019)Trustworthy AI: From Principles to Practices (2022)The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT (2023)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)AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2022)Responsible artificial intelligence governance: A review and research framework (2025)'It's Reducing a Human Being to a Percentage' (2018)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

  • 2016The future of employment: How susceptible are jobs to computerisation?8,693 cited
  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations4,732 cited
  • 2019Principles alone cannot guarantee ethical AI1,869 cited
  • 2017Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation1,305 cited
  • 2019Responsible Artificial Intelligence1,064 cited
  • 2020Data governance: Organizing data for trustworthy Artificial Intelligence805 cited
  • 2018Governing artificial intelligence: ethical, legal and technical opportunities and challenges743 cited
  • 2020AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings610 cited
  • 2017Society-in-the-loop: programming the algorithmic social contract552 cited
  • 2017A Layered Model for AI Governance430 cited
  • 2017The EU General Data Protection Regulation (GDPR): European Regulation that has a Global Impact413 cited
  • 2018Discrimination in the Age of Algorithms400 cited
  • 2020The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration396 cited

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  • 2021Artificial Intelligence Regulation: a framework for governance395 cited
  • 2023Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk363 cited
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    • 2025Responsible AI starts with the artifact: Challenging the concept of responsible AI in IS research27 cited
    • 2025Human-Controllable AI: Meaningful Human Control22 cited
    • 2025RETRACTED: Artificial intelligence and employee performance in Uganda’s healthcare institutions: exploring the mediation effects of perceived ease of use and skills enhancement14 cited