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

Cited by (1,286)

Items 201–300 of 1,286

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18. Unintended effects of algorithmic transparency: The mere prospect of an explanation can foster the illusion of understanding how an algorithm works
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30. Enslaving the Algorithm: From a “Right to an Explanation” to a “Right to Better Decisions”?
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31. Towards eXplainable Artificial Intelligence (XAI) in Tax Law: The Need for a Minimum Legal Standard
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32. Realising Meaningful Human Control Over Automated Driving Systems: A Multidisciplinary Approach
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33. Legal Means of Providing the Principle of Transparency of the Artificial Intelligence
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37. Prediction of caregiver quality of life in amyotrophic lateral sclerosis using explainable machine learning
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38. Informational Privacy, A Right to Explanation, and Interpretable AI
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39. Open the Black Box Data-Driven Explanation of Black Box Decision Systems
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41. ALGORITHMIC BIAS IN LAW: THE DISCRIMINATORY POTENTIAL AND LEGAL LIABILITY OF AI-BASED DECISION SUPPORT SYSTEMS
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42. From social netizens to data citizens: Variations of GDPR awareness in 28 European countries
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44. Big Data Compliance for Innovative Clinical Models
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48. Machine learning in the EU health care context: exploring the ethical, legal and social issues
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49. Law, liberty and technology: criminal justice in the context of smart machines
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50. A Survey of the General Public’s Views on the Ethics of Using AI in Education
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51. Adaptive Architecture: regulating human building interaction
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52. Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective
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53. Post hoc explanations improve consumer responses to algorithmic decisions
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54. A survey on methods and metrics for the assessment of explainability under the proposed AI Act
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55. Levels of explicability for medical artificial intelligence: What do we normatively need and what can we technically reach?
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56. Integrating Technical and Legal Concepts of Privacy
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57. Digital Data Collection and Information Privacy Law
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58. Fairness and explainability in automatic decision-making systems. A challenge for computer science and law
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59. Put Dialectics into the Machine: Protection against Automatic-decision-making through a Deeper Understanding of <i>Contestability by Design</i>
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62. A systematic literature review of artificial intelligence (AI) transparency laws in the European Union (EU) and United Kingdom (UK): a socio-legal approach to AI transparency governance
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65. Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems
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68. Online Price Discrimination and EU Data Privacy Law
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