Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation

Cited by (1,286)

Items 401–500 of 1,286

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2. Machine Learning, Cognitive Sovereignty and Data Protection Rights with Respect to Automated Decisions
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4. Navigating the Maze: AI and Automated Decision-Making Systems in Private International Law
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5. Explainable AI: Can the AI Act and the GDPR go out for a date?
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7. Artificial Intelligence
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8. 3Es for AI: Economics, Explanation, Epistemology
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9. Algorithm Interpretation Right—The First Step to Algorithmic Governance
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10. The Tower of Babel in Explainable Artificial Intelligence (XAI)
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11. The Quest for Actionable AI Ethics
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12. GDPR anti-patterns
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13. Experimental Regulations for AI: Sandboxes for Morals and Mores
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14. A Deep Adversarial Framework for Visually Explainable Periocular Recognition
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15. BEING PROFILED
    Bayamiloglu, Emre, Baraliuc, Irina, Janssens, Liisa, Hildebrandt, Mireille · 2018 · Amsterdam University Press eBooks
16. Some HCI Priorities for GDPR-Compliant Machine Learning
    Michael Veale, Reuben Binns, Max G. Van Kleek · 2018
17. Teaching Meaningful Explanations
    N. Codella, M. Hind, K. Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, A. Mojsilovic · 2018 · arXiv.org
18. What Does It Mean to ‘Solve’ the Problem of Discrimination in Hiring?
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19. Artificial Intelligence in Forensic Science
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20. Addressing the Use of AI by EU Tax Authorities: Towards a Common Framework of Taxpayer Protection
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21. Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward
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22. AI for Sport in the EU Legal Framework
    Alberto Orlando · 2022 · IEEE International Workshop on Sport, Technology and Research (STAR)
23. Self-determination through explanation: an ethical perspective on the implementation of the transparency requirements for recommender systems set by the Digital Services Act of the European Union
    Matteo Fabbri · 2023 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
24. Towards algorithms and models that we can trust: A theoretical perspective
    Luca Oneto, Sandro Ridella, Davide Anguita · 2024 · Neurocomputing
25. The future of precision health is data‐driven decision support
    John Sperger, Nikki L. B. Freeman, Xiaotong Jiang, David Bang, Daniel de Marchi, Michael R. Kosorok · 2020 · Statistical Analysis and Data Mining The ASA Data Science Journal
26. Transparencia algorítmica y la propiedad intelectual e industrial: tensiones y soluciones
    Michelle Azuaje Pirela, Daniel Ernesto Finol González · 2020 · Revista La Propiedad Inmaterial
27. Household Social Robots − Special Issues Relating to Data Protection
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28. Standard Representation for Digital Forensic Processing
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29. The dual function of explanations: Why it is useful to compute explanations
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30. Chilling Effects of Profiling Activities: Mapping the Issues
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31. CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets
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32. AI Regulation in Europe
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33. Simplification of Administrative Procedures through Fully Automated Decision-Making: The Case of Norway
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34. Automated administrative decision-making under the influence of the GDPR – Early reflections and upcoming challenges
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35. Externalidades negativas da inteligência artificial: conflitos entre limites da técnica e direitos humanos
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36. A guided tour of multiple criteria sorting models and methods
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37. Mathematical algorithm design for deep learning under societal and judicial constraints: The algorithmic transparency requirement
    Holger Boche, Adalbert Fono, Gitta Kutyniok · 2025 · Applied and Computational Harmonic Analysis
38. Algorithmic Transparency from the South
    José Pablo Lapostol Piderit, Romina Garrido Iglesias, María Paz Hermosilla · 2023 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
39. Regulating Explainability in Machine Learning Applications -- Observations from a Policy Design Experiment
    Nadia Nahar, J. Rowlett, Matthew Bray, Zahra Abba Omar, X. Papademetris, Alka V. Menon, Christian Kästner · 2024 · Conference on Fairness, Accountability and Transparency
40. Privacy, Non-Discrimination and Equal Treatment: Developing a Fundamental Rights Response to Behavioural Profiling
    Niklas Eder · 2020 · Data science, machine intelligence, and law
41. The need for a numeric measure of explainability
    Wim De Mulder, Peggy Valcke · 2021 · IEEE International Conference on Big Data (BigData)
42. Data Processing and Legal Protection in Contracts in the Technologically Innovative Tourism Sector
    Apostolos D. Tassikas · 2021 · European journal of tourism, hospitality and recreation
43. Framing Algorithms – Competition Law and (Other) Regulatory Tools
    Peter Georg Picht, Gaspare Tazio Loderer · 2018 · SSRN Electronic Journal
44. Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications
    Rafael Brandão, Joel Luís Carbonera, Clarisse Sieckenius de Souza, Juliana Jansen Ferreira, Bernardo Gonçalves, Carla Faria Leitão · 2019 · arXiv (Cornell University)
45. Right to an Explanation Considered Harmful
    Andy Crabtree, Lachlan Urquhart, Jiahong Chen · 2019 · SSRN Electronic Journal
46. The Explanation Game: A Formal Framework for Interpretable Machine Learning
    David Watson, Luciano Floridi · 2020 · SSRN Electronic Journal
47. Using Machine Learning to Enhance Archival Processing of Social Media Archives
    Lizhou Fan, Zhanyuan Yin, Huizi Yu · 2020
48. AI in terrorism sentencing: evaluating predictive accuracy and ethical implications
    Shai Farber · 2024 · Criminal Justice Studies
49. AI Meets the GDPR
    Pierre Dewitte · 2025 · Cambridge University Press eBooks
50. The philosophy of cognitive diversity: Rethinking ethical AI design through the lens of neurodiversity
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51. Data Access and AI Explainability
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52. XAI: On Explainability and the Obligation to Explain
    Karoline Reinhardt, Oliver Buchholz · 2025 · Digital Society
53. A Review of Ethical Challenges in AI for Emergency Management
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54. Application of SHAP-based explainable machine learning in remaining useful life prediction for aircraft engine systems
    C. Z. Yuan, Yule Cai, Zixin Zhang · 2026 · International Journal of Machine Learning and Cybernetics
55. Governing AI Decision‐Making: Balancing Innovation and Accountability
    David Mark, John Morison · 2025 · Politics and Governance
56. Constitutive knowledge sources: an institutional approach to epistemic trust in opaque AI systems
    Lior Gazit · 2025 · AI and Ethics
57. Digital Innovation, Legal Reform, and Social Justice: Interdisciplinary Approaches to Law, Technology, and Human Rights
    Saleh Hashem Al-Farjani, Tanveer ahmad, Hafiz Ahmed Saeed Rana · 2025 · International Journal of Law and Social Sciences
58. Algoritmikus menedzsment a platformmunka világában
    Zsolt Ződi · 2022 · Állam-és Jogtudomány
59. The emerging role of Artificial Intelligence (AI) in urban and regional planning in India
    Shiv Marwaha, Himadri Shekhar Dey -, Tejwant Singh Brar · 2024 · International Journal of Arts Architecture & Design
60. Justice in the Age of Algorithms
    Abhishek Benedict Kumar, Karun Sanjaya, Mohammad Saleem · 2025 · Advances in computational intelligence and robotics book series
61. Toward empowering AI governance with redress mechanisms
    Yulu Pi, Maddie Proctor · 2025 · Cambridge Forum on AI Law and Governance
62. Privacy attitudes and behaviors in the age of post-privacy: An empirical approach
    Nicolas Demertzis, Katerina Mandenaki, Charalambos Tsekeris · 2021 · Journal of Digital Social Research
63. Administrative Justice in a Digital World
    Paul W. Fay Henman · 2021 · Oxford University Press eBooks
64. Habeas Data, Habemus Algorithms
    Jean-Marie Chenou, Laura Estefanía Rodríguez Valenzuela · 2021 · Law State and Telecommunications Review
65. Let the CAT out of the bag: Contrastive Attributed explanations for Text
    Saneem Chemmengath, Amar Prakash Azad, Ronny Luss, Amit Dhurandhar · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
66. Regulating AI
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67. Welfarist Moral Grounding for Transparent AI
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68. Leveraging Explainable AI Methods and Tools for Educational Data
    Gabriella Casalino, Giovanna Castellano, Pietro Ducange, Michela Fazzolari, Riccardo Pecori, Gianluca Zaza · 2024 · Communications in computer and information science
69. Explainable AI beer style classifier
    José M. Alonso, Alejandro Ramos-Soto, Ciro Castiello, Corrado Mencar · 2018 · CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)
70. Privacy-awareness of Users in our Cloudy Smart World
    Gizem Gültekin Várkonyi, Attila Kertész, Sz. Varadi · 2019 · International Conference on Fog and Mobile Edge Computing (FMEC)
71. Can EU Data Protection Legislation Help to Counter “Fake News” and Other Threats to Democracy?
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72. Retos y oportunidades del uso de la inteligencia artificial en las administraciones públicas
    Agustí Cerrillo i Martínez · 2019 · Oikonomics
73. Towards a Right not to Be Deceived? An Interdisciplinary Analysis of Media Personalization in the Light of the GDPR
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74. CIVIL LIABILITY IN THE DEVELOPMENT AND APPLICATION OF ARTIFICIAL INTELLIGENCE AND ROBOTIC SYSTEMS: BASIC APPROACHES
    Yulia Sergeevna Kharitonova, Viktoriia S. Savina, F. Pagnini · 2022 · Вестник Пермского университета Юридические науки
75. Outsmarting Pac-Man with Artificial Intelligence, or Why AI-Driven Cartel Screening Is Not a Silver Bullet
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76. Artificial Intelligence in Medicine
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77. Accountability in Mobile Service Robots
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78. Legal Issues of Social IoT Services: The Effects of Using Clouds, Fogs and AI
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79. Does the GDPR Help or Hinder Fair Algorithmic Decision-Making?
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80. Through a Glass, Darkly: Artificial Intelligence and the Problem of Opacity
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81. Interpretable Machine Learning for Genomics
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82. Contextualising local explanations for non-expert users: an XAI pricing interface for insurance
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83. Surfing the Third Wave of Computing: Consumer Contracting With eObjects in Australia
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84. Artificial intelligence in digital visual effects
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85. Automated decision-making in South Korea: a critical review of the revised Personal Information Protection Act
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86. Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges
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87. Towards a Comprehensive Taxonomy of Pointwise Reliability Assessment Techniques for Machine Learning Models
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88. Building Trustworthy AI: Transparency, Fairness, and Governance in the Digital Age
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89. Balancing innovation and integrity: AI in tax administration and taxpayer rights
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90. Contesting the algorithm: advancing a right to challenge AI decisions under the GDPR for algorithmic fairness
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91. Formal and computational foundations for implementing Affective Sovereignty in emotion AI systems
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92. La dignidad humana frente a la inteligencia artificial: un análisis ético y normativo en América Latina
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93. Pre Hoc and Co Hoc Explainability: Frameworks for Integrating Interpretability into Machine Learning Training for Enhanced Transparency and Performance
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94. Privacy, Trust and Ethical Issues
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95. Ethical, Legal and Privacy Considerations for Adaptive Systems
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96. Towards a Human Right in Recordkeeping and Archives
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