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

Cited by (1,286)

Items 301–400 of 1,286

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3. Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)
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4. Healthcare AI, explainability, and the human-machine relationship: a (not so) novel practical challenge
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5. Toward Explainable Artificial Intelligence Through Fuzzy Systems
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6. AI, Explainability, and Safeguarding Patient Safety in Europe
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7. Uncertainty, Evidence, and the Integration of Machine Learning into Medical Practice
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8. An Assurance Case Pattern for the Interpretability of Machine Learning in Safety-Critical Systems
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9. Superimposition: Augmenting Machine Learning Outputs with Conceptual Models for Explainable AI
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10. The non-linear nature of the cost of comprehensibility
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11. Catala: Moving towards the future of legal expert systems
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12. Classification and application of deep learning in construction engineering and management – A systematic literature review and future innovations
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13. Trust triggers for multimodal command and control interfaces
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14. Risks and Opportunities of RegTech and SupTech Developments
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15. Explainable AI: A Neurally-Inspired Decision Stack Framework
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16. Technological Answerability and the Severance Problem: Staying Connected by Demanding Answers
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17. Digital Economic Policy
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18. Legal Provocations for HCI in the Design and Development of Trustworthy Autonomous Systems
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19. Blockchain and Artificial Intelligence Non-Formal Education System (BANFES)
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20. Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers
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21. What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems
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22. Artificial Intelligence and Administrative Decisions Under Uncertainty
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23. Explainable Artificial Intelligence in Genomic Sequence for Healthcare Systems Prediction
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24. Imposing Regulation on Advanced Algorithms
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25. Transparency in algorithmic decision-making: Ideational tensions and conceptual shifts in Finland
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26. Algorithmic Accountability in Context. Socio-Technical Perspectives on Structural Causal Models
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27. Ethical considerations in the early detection of Alzheimer's disease using speech and AI
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28. Fair Robust Assignment Using Redundancy
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29. TED: Teaching AI to Explain its Decisions
    Michael Hind, Dennis Wei, Murray S. Campbell, Noel Codella, Amit Dhurandhar, Aleksandra Mojsilović, Karthikeyan Natesan Ramamurthy, Kush R. Varshney · 2018 · arXiv (Cornell University)
30. Automated Decision Making and Personal Data Protection in Intelligent Tutoring Systems: Design Guidelines
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31. Fairness, Accountability, Sustainability, Transparency (FAST) of Artificial Intelligence in Terms of Hospitality Industry
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32. Optimizing Multi-Objective Federated Learning on Non-IID Data with Improved NSGA-III and Hierarchical Clustering
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33. Hiring, Algorithms, and Choice: Why Interviews Still Matter
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34. A Model-Agnostic Feature Attribution Approach to Magnetoencephalography Predictions Based on Shapley Value
    Yongdong Fan, Haokun Mao, Qiong Li · 2023 · IEEE Journal of Biomedical and Health Informatics
35. Legal and Ethical Considerations of Artificial Intelligence for Residents in Post-Acute and Long-Term Care
    Barry Solaiman · 2024 · Journal of the American Medical Directors Association
36. Performance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-Driven Verification
    Daniel Moreira, Mateusz Trokielewicz, Adam Czajka · 2019 · IEEE Winter Conference on Applications of Computer Vision
37. Explainable AI for Fighting COVID-19 Pandemic: Opportunities, Challenges, and Future Prospects
    Moses Kazeem Abiodun, Joseph Bamidele Awotunde, Dayo Reuben Aremu, Abidemi Emmanuel Adeniyi · 2022 · Disruptive technologies and digital transformations for society 5.0
38. Producer Liability for AI-Based Technologies in the European Union
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39. ICT-Based Co-production: A Public Values Perspective
    Wouter Nieuwenhuizen, Albert Jacob Meijer · 2020 · Springer eBooks
40. Decisions, Counterfactual Explanations and Strategic Behavior
    Stratis Tsirtsis, Manuel Gomez-Rodriguez · 2020 · arXiv (Cornell University)
41. Improving XAI Explanations for Clinical Decision-Making – Physicians’ Perspective on Local Explanations in Healthcare
    Ulf Lesley, Alejandro Kuratomi · 2024 · Lecture notes in computer science
42. Defining deliberation for dual-process models of reasoning
    Wim De Neys · 2025 · Nature Reviews Psychology
43. Intelligent Tutoring Systems and Transparency: The Case of Children and Adolescents
    Eirini Mougiakou, Spyros Papadimitriou, Maria K. Virvou · 2018 · International Conference on Information, Intelligence, Systems & Applications (IISA)
44. The Challenges of Artificial Judicial Decision-Making for Liberal Democracy
    Christoph K. Winter · 2022 · Economic analysis of law in European legal scholarship
45. The GDPR enshrines the right to the impersonal price
    Fabrizio Esposito · 2022 · Computer law & security review
46. Ethical Implications of Using ChatGPT in Educational Environments: A Comprehensive Review
    Amina M Al Marzouqi, Ahmad Aburayya, Raghad Alfaisal, Mohamed Ahmed Elbadawi, Said Abdelrahim Salloum · 2024 · Studies in big data
47. Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR
    Anton Korikov, Alexander Shleyfman, J. Christopher Beck · 2021 · International Joint Conference on Artificial Intelligence
48. Governing fiduciary relationships or building up a governance model for trust in AI? Review of healthcare as a socio-technical system
    Mehmet Bilal Ünver · 2023 · International Review of Law Computers & Technology
49. Towards Trust, Transparency and Liability in AI / AS systems
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50. Assessing the Clinical Validity of Attention-based and SHAP Temporal Explanations for Adverse Drug Event Predictions
    Jonathan T. Rebane, Isak Samsten, Panteleimon Pantelidis · 2021 · IEEE International Symposium on Computer-Based Medical Systems (CBMS)
51. Explanation and the Right to Explanation
    Elanor Taylor · 2023 · Journal of the American Philosophical Association
52. The SAGE Framework for Explaining Context in Explainable Artificial Intelligence
    Eleanor Mill, Wolfgang Garn, Nick F Ryman-Tubb, Christopher J. Turner · 2024 · Applied Artificial Intelligence
53. Explanation needs and ethical demands: unpacking the instrumental value of XAI
    Suzana Alpsancar, Heike M. Buhl, Tobias Matzner, Ingrid Scharlau · 2024 · AI and Ethics
54. Profiling and Automated Decision-Making: Legal Implications and Shortcomings
    Stefanie Hänold · 2018 · Perspectives in law, business and innovation
55. Monitoring Laws
    Jake Goldenfein · 2019 · Cambridge University Press eBooks
56. The law in computation: What machine learning, artificial intelligence, and big data mean for law and society scholarship
    Tania E. DoCarmo, Stephen C. Rea, Evan Conaway, John R. Emery, Noopur Raval · 2021 · Law & Policy
57. Unboxing the Black Box of Artificial Intelligence: Algorithmic Transparency and/or a Right to Functional Explainability
    Apostolos Vorras, Lilian Mitrou · 2021 · Springer eBooks
58. Karl Jaspers and artificial neural nets: on the relation of explaining and understanding artificial intelligence in medicine
    Georg Starke, Christopher J. Poppe · 2022 · Ethics and Information Technology
59. Ethical Implications of Predictive Risk Intelligence
    Tilimbe Jiya · 2019 · ORBIT Journal
60. The Seven Sins of Personal-Data Processing Systems under GDPR
    Supreeth Shastri, Melissa F. Wasserman, Vijay Chidambaram V · 2019 · arXiv (Cornell University)
61. The Stakeholder Playbook for Explaining AI Systems
    Robert Hoffman, Gary L. Klein, Shane T. Mueller, Mohammadreza Jalaeian, Connor Tate · 2021
62. Democratic self-government and the algocratic shortcut: the democratic harms in algorithmic governance of society
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63. ETHICS IN AI AND MACHINE LEARNING
    Rajesh Kumar Jaiswal, Shyam Sundar Sharma, Rajkumar Kaushik · 2023 · Journal of Nonlinear Analysis and Optimization Theory & Applications (JNAO)
64. 36 Exploring the Ethical Implications of AI in Legal Decision-Making
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65. The Right to an Explanation Under the GDPR and the AI Act
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66. Intelligent Incident Management Leveraging Artificial Intelligence, Knowledge Engineering, and Mathematical Models in Enterprise Operations
    Arturo Peralta, José Á. Olivas, Francisco P. Romero, Pedro Navarro-Illana · 2025 · Mathematics
67. Towards a Roadmap for Privacy Technologies and the General Data Protection Regulation: A Transatlantic Initiative
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68. Balancing fraud analytics with legal requirements: Governance practices and trade-offs in public administrations
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69. Mapping the Issues of Automated Legal Systems: Why Worry About Automatically Processable Regulation?
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70. Artificial Intelligence and Human Rights: Are they convergent or parallel to each other?
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71. Artificial Intelligence, Big Data as Institutions of New Technological Generation of Economy
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72. Minding the Machine v2.0
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73. Value Alignment for Advanced Artificial Judicial Intelligence
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74. AI-Enabled Spatial Intelligence
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75. IT vendors’ legitimation strategies and market share: The case of EMR systems
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76. Denied by an (Unexplainable) Algorithm: Teleological Explanations for Algorithmic Decisions Enhance Customer Satisfaction
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77. A discussion frame for explaining records that are based on algorithmic output
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78. “Just” algorithms: justification (beyond explanation) of automated decisions under the general data protection regulation
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79. Liable and Sustainable by Design: A Toolbox for a Regulatory Compliant and Sustainable Tech
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80. Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy
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81. Artificial Intelligence Governance and Regulation: A Roadmap to Developing Legal Policies for Artificial Intelligence Deployment
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82. Legal frameworks for AI service business participants: a comparative analysis of liability protection across jurisdictions
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83. A comprehensive survey of audio forgery detection: challenges and novel trends
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84. Algorithmic Decision-Making and the Problem of Control
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85. Automated Decision-Making under Article 22 GDPR
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86. Explanations as governance? Investigating practices of explanation in algorithmic system design
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88. Governance and Communication of Algorithmic Decision Making: A Case Study on Public Sector
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89. La transparencia y la no discriminación en el Estado de bienestar digital
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90. A perspective on the enabling technologies of explainable AI-based industrial packetized energy management
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91. Privacy and Future Consent in Smart Homes as Assisted Living Technologies
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92. Transparency at Sentencing
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93. Should we have a right to refuse diagnostics and treatment planning by artificial intelligence?
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94. The What, the Why, and the How of Artificial Explanations in Automated Decision-Making
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95. Minding the Machine v2.0: The EU General Data Protection Regulation and Automated Decision Making
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96. Looking Deeper into Tabular LIME
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97. Social Licence and Digital Trust in Data-Driven Applications and AI: a Problem Statement and Possible Solutions
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98. Pitfalls of Explainable ML: An Industry Perspective
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99. Conceptual Challenges for Interpretable Machine Learning
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