**Requested PDF/A** A legal and technical assessment of the rights to information and an explanation
**Requested PDF/A** A legal and technical assessment of the rights to information and an explanation
This thesis explores why automated individual decision-making attracts the obligations of information and explanation, what these rights entail and how users of these automated processes may implement them, as referred to in the European General Data Protection Regulation. This thesis also explores why these data processing practices deserve special legal consideration when equivalent non-automated decisions are free from these onerous obligations. The problem at the heart of this thesis is the automation of everyday and high-consequence decision-making processes and the challenges and risks such technological transformation poses to the rights, freedoms, and legitimate interests of individuals. Particular relevance is given to the complexity and lack of neutrality that are introduced in decision-making through the automation of the process. This thesis provides an overview of the legal cases and disputes involving automated decisions reaching a court or a national Data Protection Authority (DPA) in a European member state. Likewise, this thesis provides both a doctrinal and a normative framework of the rights to information and an explanation that examine the legal foundations, rationale and intention of these obligations. This thesis also reflects on the distinction between explainability requirements for automated decision-making systems from a legal and a technical perspective and presents the most desirable properties technical and legal information and explanations about automated decision-making processes should attain according to both notions. Finally, this thesis examines the suitability of three concrete types of technical explainability methods to comply with the rights to information and an explanation. The expectations, reasoning, and rules exposed by a group of legal experts and practitioners regarding these explanations are complemented with an assessment of those same explanations using the doctrinal, normative frameworks and desirable properties proposed beforehand in the thesis.
University of Southampton
Bringas Colmenarejo, Alejandra
26da6380-e442-41d8-b06d-554e3b7252ea
2025
Bringas Colmenarejo, Alejandra
26da6380-e442-41d8-b06d-554e3b7252ea
Kohl, Uta
813ff335-441f-4027-801b-4e6fc48409c3
Law, Stephanie
0778fc4b-cdf4-436e-9fcb-7f2ee2006ca4
Bringas Colmenarejo, Alejandra
(2025)
**Requested PDF/A** A legal and technical assessment of the rights to information and an explanation.
University of Southampton, Doctoral Thesis, 275pp.
Record type:
Thesis
(Doctoral)
Abstract
This thesis explores why automated individual decision-making attracts the obligations of information and explanation, what these rights entail and how users of these automated processes may implement them, as referred to in the European General Data Protection Regulation. This thesis also explores why these data processing practices deserve special legal consideration when equivalent non-automated decisions are free from these onerous obligations. The problem at the heart of this thesis is the automation of everyday and high-consequence decision-making processes and the challenges and risks such technological transformation poses to the rights, freedoms, and legitimate interests of individuals. Particular relevance is given to the complexity and lack of neutrality that are introduced in decision-making through the automation of the process. This thesis provides an overview of the legal cases and disputes involving automated decisions reaching a court or a national Data Protection Authority (DPA) in a European member state. Likewise, this thesis provides both a doctrinal and a normative framework of the rights to information and an explanation that examine the legal foundations, rationale and intention of these obligations. This thesis also reflects on the distinction between explainability requirements for automated decision-making systems from a legal and a technical perspective and presents the most desirable properties technical and legal information and explanations about automated decision-making processes should attain according to both notions. Finally, this thesis examines the suitability of three concrete types of technical explainability methods to comply with the rights to information and an explanation. The expectations, reasoning, and rules exposed by a group of legal experts and practitioners regarding these explanations are complemented with an assessment of those same explanations using the doctrinal, normative frameworks and desirable properties proposed beforehand in the thesis.
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Published date: 2025
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Local EPrints ID: 506790
URI: http://eprints.soton.ac.uk/id/eprint/506790
PURE UUID: d123b196-b8f0-42a5-8d38-778bd988048b
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Date deposited: 18 Nov 2025 17:51
Last modified: 26 Nov 2025 03:00
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Alejandra Bringas Colmenarejo
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