Transparency vs explanation of machine learning algorithms: perspectives from recent legal proceedings
Conference item
Nnawuchi, U., George, C. and Kammueller, F. 2024. Transparency vs explanation of machine learning algorithms: perspectives from recent legal proceedings. Santos M., Machado, J., Novais, P., Cortez, P. and Moreira, P. (ed.) 23rd International Conference on Artificial Intelligence. Viana do Castelo, Portugal 03 - 06 Sep 2024 Springer. pp. 270-283 https://doi.org/10.1007/978-3-031-73497-7_22
Title | Transparency vs explanation of machine learning algorithms: perspectives from recent legal proceedings |
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Authors | Nnawuchi, U., George, C. and Kammueller, F. |
Abstract | The extensive use of Machine Learning (ML) algorithms has significantly altered decision-making processes, societal structures, and power dynamics. These algorithms, known for their efficiency, are increasingly making critical decisions. However, concerns about their opacity and biases persist. Some legal scholars and data scientists argue that the GDPR includes a right to explanation to address ML opacity, while others advocate for transparency as a better solution. This study explores the debate between transparency and explanation within the GDPR's regulatory framework, focusing on Articles 15, 22 and recent EU court rulings. By examining judicial developments and scholarly perspectives, the study highlights the GDPR's efforts to promote transparency and accountability in automated decision-making. Despite the GDPR's provisions, the lack of an explicit right to explanation has led to ongoing legal and ethical discussions. This research aims to provide insights into how transparency, explanation, and individual rights intersect in the realm of algorithmic decision-making under the GDPR. |
Keywords | Machine Learning; Right to Explanation; Transparency; Automated decision-making; GDPR |
Sustainable Development Goals | 16 Peace, justice and strong institutions |
Middlesex University Theme | Sustainability |
Research Group | Aspects of Law and Ethics Related to Technology group |
Conference | 23rd International Conference on Artificial Intelligence |
Page range | 270-283 |
Proceedings Title | Progress in Artificial Intelligence: 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part I |
Series | Lecture Notes in Computer Science |
Editors | Santos M., Machado, J., Novais, P., Cortez, P. and Moreira, P. |
ISSN | 0302-9743 |
Electronic | 1611-3349 |
ISBN | |
Paperback | 9783031734960 |
Electronic | 9783031734977 |
Publisher | Springer |
Copyright Year | 2025 |
Publication dates | |
Online | 16 Nov 2024 |
16 Nov 2024 | |
Publication process dates | |
Accepted | 29 Jun 2024 |
Deposited | 11 Oct 2024 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | This version of the paper has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-ma...), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-73497-7_22 |
© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG | |
Additional information | Cite this paper as: |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-73497-7_22 |
Web address (URL) of conference proceedings | https://doi.org/10.1007/978-3-031-73497-7 |
Language | English |
https://repository.mdx.ac.uk/item/1q1xqw
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