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

Cited by (1,286)

Items 101–200 of 1,286

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15. Why a Right to an Explanation of Algorithmic Decision-Making Should Exist: A Trust-Based Approach
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21. Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts
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32. AI Applications and Regulation: Mapping the Regulatory Strata
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38. Data protection in the age of welfare conditionality: Respect for basic rights or a race to the bottom?
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41. Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
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42. Do large language models have a legal duty to tell the truth?
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43. Legal and technical feasibility of the GDPR’s quest for explanation of algorithmic decisions: of black boxes, white boxes and fata morganas
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44. Varieties of AI Explanations Under the Law. From the GDPR to the AIA, and Beyond
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46. Through a Glass, Darkly: Artificial Intelligence and the Problem of Opacity
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47. Designing the Health-related Internet of Things: Ethical Principles and Guidelines
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49. How model accuracy and explanation fidelity influence user trust
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52. Artificial intelligence: accelerator or panacea for financial crime?
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54. The Brussels Effect and Artificial Intelligence
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55. Socio-ethical implications of using AI in accelerating SDG3 in Least Developed Countries
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56. From transparency to accountability of intelligent systems: Moving beyond aspirations
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57. The Right to Erasure in EU Data Protection Law
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58. Algorithmic decision-making employing profiling: will trade secrecy protection render the right to explanation toothless?
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59. Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport
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60. Enslaving the Algorithm: From a 'Right to an Explanation' to a 'Right to Better Decisions'?
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62. The Global Governance of Artificial Intelligence: Some Normative Concerns
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65. AI and Algorithmic Bias: Source, Detection, Mitigation and Implications
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