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Artificial Intelligence and Privacy
4 references·3 citing·27 second hop
Artificial Intelligence and Privacy (2024)Artificial Intelligence and PrivacyRegulating ChatGPT and other Large Generative AI Models (2023)Regulating ChatGPT and other …Trust But Verify: A Guide to Algorithms and the Law (2017)Trust But Verify: A Guide to …The right to a human in the loop: Political constructions of computer automation and personhood (2017)The right to a human in the l…The Scored Society: Due Process for Automated Predictions (2014)The Scored Society: Due Proce…Generative AI and data protection (2025)Generative AI and data protec…AI, data governance and privacy (2024)AI, data governance and priva…Artificial Intelligence Governance and Ethics : Global Perspectives (2019)Artificial Intelligence Gover…North Carolina Law Review (1927)The politics of ‘platforms’ (2010)The Black Box Society (2015)Administration by Algorithm? Public Management meets Public Sector Machine Learning (2019)The impact of using algorithms for managerial decisions on public employees' procedural justice (2020)Are Algorithmic Decisions Legitimate? The Effect of Process and Outcomes on Perceptions of Legitimacy of AI Decisions (2022)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Artificial Intelligence in Society (2019)Machine behaviour (2019)Forbidden knowledge in machine learning reflections on the limits of research and publication (2020)ANÁLISIS DE LAS ESTRATEGIAS NACIONALES DE INTELIGENCIA ARTIFICIAL EN AMÉRICA LATINA: ESTUDIO DE LOS ENFOQUES DE ÉTICA Y DE DERECHOS HUMANOS (2021)Ethical considerations and statistical analysis of industry involvement in machine learning research (2021)Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach (2021)Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective (2024)Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation (2024)The potential of generative AI for personalized persuasion at scale (2024)Model Cards for Model Reporting (2019)On the Opportunities and Risks of Foundation Models (2021)Artificial Intelligence Risk Management Framework (AI RMF 1.0) (2023)A Contextual Approach to Privacy Online (2011)A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI (2018)Taxonomy of Risks posed by Language Models (2022)The Threat of Algocracy: Reality, Resistance and Accommodation (2016)Artificial Intelligence and the Public Sector—Applications and Challenges (2018)Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems (2021)Legitimacy of Algorithmic Decision-Making: Six Threats and the Need for a Calibrated Institutional Response (2022)Transparency and accountability in digital public services: Learning from the Brazilian cases (2022)
this work references cited by second hop

References

  • 2014The Scored Society: Due Process for Automated Predictions523 cited
  • 2023Regulating ChatGPT and other Large Generative AI Models466 cited
  • 2017Trust But Verify: A Guide to Algorithms and the Law85 cited
  • 2017The right to a human in the loop: Political constructions of computer automation and personhood75 cited

Cited by

  • 2019Artificial Intelligence Governance and Ethics : Global Perspectives33 cited
  • 2025Generative AI and data protection16 cited
  • 2024AI, data governance and privacy14 cited

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