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When Is a Decision Automated? A Taxonomy for a Fundamental Rights Analysis
7 references·3 citing·38 second hop
When Is a Decision Automated? A Taxonomy for a Fundamental Rights Analysis (2024)When Is a Decision Automated? A Taxonomy …Technology, Displaced? The Risks and Potential of Artificial Intelligence for Fair, Effective, and Efficient Refugee Status Determination (2021)Technology, Displaced? The Ri…Human–AI Interactions in Public Sector Decision Making: “Automation Bias” and “Selective Adherence” to Algorithmic Advice (2020)Human–AI Interactions in Publ…Accountable Artificial Intelligence: Holding Algorithms to Account (2020)Accountable Artificial Intell…Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making (2018)Fairness and Accountability D…Counterfactual Fairness (2017)Counterfactual FairnessTechnological Due Process (2007)Technological Due ProcessSocial, legal, and ethical implications of AI-Generated deepfake pornography on digital platforms: A systematic literature review (2025)Social, legal, and ethical im…Responsible AI, ethics, and the AI lifecycle: how to consider the human influence? (2025)Responsible AI, ethics, and t…Navigating data governance risks: Facial recognition in law enforcement under EU legislation (2024)Navigating data governance ri…Street-Level Bureaucracy: Dilemmas of the Individual in Public Services (1981)A PUBLIC MANAGEMENT FOR ALL SEASONS? (1991)Fairness through awareness (2012)Improving Fairness in Machine Learning Systems (2019)Algorithmic bias: review, synthesis, and future research directions (2021)Fairness in Machine Learning: A Survey (2023)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)Fairness definitions explained (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)The Black Box Society (2015)Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Accountability in Artificial Intelligence: What It Is and How It Works (2022)Explaining Why the Computer Says No: Algorithmic Transparency Affects the Perceived Trustworthiness of Automated Decision‐Making (2022)Accountability and Abuses of Power in World Politics (2005)Analysing and Assessing Accountability: A Conceptual Framework 1 (2007)The Black Box Society: The Secret Algorithms That Control Money and Information (2016)There is an elephant in the room: towards a critique on the use of fairness in biometrics (2022)Artificial Intelligence and Human Rights (2023)Doing Refugee Right(s) with Technologies? Humanitarian Crises and the Multiplication of “Exceptional” Legal States (2023)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Exploring artificial intelligence adoption in public organizations: a comparative case study (2022)Gender bias perpetuation and mitigation in AI technologies: challenges and opportunities (2023)Exploring automation bias in human–AI collaboration: a review and implications for explainable AI (2025)Conceptions and explanations of trust. (2001)Designing AI for Social Good: Seven Essential Factors (2019)Regulating ChatGPT and other Large Generative AI Models (2023)Bias in computer systems (1996)Artificial Intelligence Risk Management Framework (AI RMF 1.0) (2023)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Review articles: purpose, process, and structure (2017)The ABC of systematic literature review: the basic methodological guidance for beginners (2020)Four Responsibility Gaps with Artificial Intelligence: Why they Matter and How to Address them (2021)Ethical Implications and Accountability of Algorithms (2018)Fairness and Abstraction in Sociotechnical Systems (2019)Model Cards for Model Reporting (2019)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)
this work references cited by second hop

References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,544 cited
  • 2017Counterfactual Fairness1,096 cited
  • 2020Accountable Artificial Intelligence: Holding Algorithms to Account766 cited
  • 2020Human–AI Interactions in Public Sector Decision Making: “Automation Bias” and “Selective Adherence” to Algorithmic Advice588 cited
  • 2018Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making522 cited
  • 2007Technological Due Process277 cited
  • 2021Technology, Displaced? The Risks and Potential of Artificial Intelligence for Fair, Effective, and Efficient Refugee Status Determination57 cited

Cited by

  • 2025Social, legal, and ethical implications of AI-Generated deepfake pornography on digital platforms: A systematic literature review16 cited
  • 2025Responsible AI, ethics, and the AI lifecycle: how to consider the human influence?15 cited
  • 2024Navigating data governance risks: Facial recognition in law enforcement under EU legislation13 cited

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