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Accountability and AI: Redundancy, Overlaps and Blind-Spots
16 references·0 citing·53 second hop
Accountability and AI: Redundancy, Overlaps and Blind-Spots (2025)Accountability and AI: Redundancy, Overla…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…Accountable Artificial Intelligence: Holding Algorithms to Account (2020)Accountable Artificial Intell…When data is capital: Datafication, accumulation, and extraction (2019)When data is capital: Datafic…How and where is artificial intelligence in the public sector going? A literature review and research agenda (2019)How and where is artificial i…Close encounters of the digital kind: A research agenda for the digitalization of public services (2019)Close encounters of the digit…The accuracy, fairness, and limits of predicting recidivism (2018)The accuracy, fairness, and l…Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare (2018)Mapping the challenges of Art…How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)How the machine ‘thinks’: Und…The Oxford Handbook of Public Accountability (2014)The Oxford Handbook of Public…Analysing and Assessing Accountability: A Conceptual Framework 1 (2007)Analysing and Assessing Accou…Pathologies of Accountability: ICANN and the Challenge of “Multiple Accountabilities Disorder” (2005)Pathologies of Accountability…Managing Horizontal Government: The Politics of Co‐Ordination (1998)Managing Horizontal Governmen…Competing Technologies, Increasing Returns, and Lock-In by Historical Events (1989)Competing Technologies, Incre…Accountability in the Public Sector: Lessons from the Challenger Tragedy (1987)Accountability in the Public …Minds, brains, and programs (1980)Minds, brains, and programsRedundancy, Rationality, and the Problem of Duplication and Overlap (1969)Redundancy, Rationality, and …Guns, Germs, and Steel: The Fates of Human Societies. 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(1974)The symbol grounding problem (1990)The Rediscovery of the Mind (1992)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)A META‐ANALYSIS OF THE PREDICTORS OF ADULT OFFENDER RECIDIVISM: WHAT WORKS!* (1996)Predicting relapse: A meta-analysis of sexual offender recidivism studies. (1998)The accuracy of recidivism risk assessments for sexual offenders: A meta-analysis of 118 prediction studies. (2009)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)Machine behaviour (2019)In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020)Frame Analysis: An Essay on the Organization of Experience. (1975)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Framing Processes and Social Movements: An Overview and Assessment (2000)Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021)AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework (2022)Handbook of Theory and Research for the Sociology of Education. (1987)Sorting Things Out (1999)CRITICAL QUESTIONS FOR BIG DATA (2012)Assetization (2020)The Internet of Landlords: Digital Platforms and New Mechanisms of Rentier Capitalism (2020)Data as asset? The measurement, governance, and valuation of digital personal data by Big Tech (2021)Fairness through awareness (2012)Big Data's Disparate Impact (2014)The Relevance of Algorithms (2014)The ethics of algorithms: Mapping the debate (2016)Algorithms at Work: The New Contested Terrain of Control (2019)On the Opportunities and Risks of Foundation Models (2021)
this work references cited by second hop

References

  • 1989Competing Technologies, Increasing Returns, and Lock-In by Historical Events7,487 cited
  • 1980Minds, brains, and programs6,950 cited
  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 2007Analysing and Assessing Accountability: A Conceptual Framework 12,656 cited
  • 2014The Oxford Handbook of Public Accountability1,162 cited
  • 2018The accuracy, fairness, and limits of predicting recidivism1,071 cited
  • 2019When data is capital: Datafication, accumulation, and extraction1,052 cited
  • 1987Accountability in the Public Sector: Lessons from the Challenger Tragedy1,044 cited
  • 2018Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare947 cited
  • 1998Managing Horizontal Government: The Politics of Co‐Ordination846 cited
  • 2005Pathologies of Accountability: ICANN and the Challenge of “Multiple Accountabilities Disorder”822 cited
  • 2020Accountable Artificial Intelligence: Holding Algorithms to Account647 cited
  • 1969Redundancy, Rationality, and the Problem of Duplication and Overlap638 cited
  • 2020AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings610 cited

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2019
Close encounters of the digital kind: A research agenda for the digitalization of public services
516 cited
  • 2019How and where is artificial intelligence in the public sector going? A literature review and research agenda500 cited
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