A critique of current approaches to privacy in machine learning
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| Publicado en: | Ethics and Information Technology vol. 27, no. 3 (Sep 2025), p. 32 |
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| Autor principal: | |
| Otros Autores: | , , , , , |
| Publicado: |
Springer Nature B.V.
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 100 | 1 | |a van Daalen, Florian |u Maastricht University Medical Centre, Radiation Oncology (MAASTRO) GROW School for Oncology and Reproduction, Maastricht, Netherlands (GRID:grid.412966.e) (ISNI:0000 0004 0480 1382); Maastricht University, Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht, Netherlands (GRID:grid.5012.6) (ISNI:0000 0001 0481 6099) | |
| 245 | 1 | |a A critique of current approaches to privacy in machine learning | |
| 260 | |b Springer Nature B.V. |c Sep 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Access to large datasets, the rise of the Internet of Things (IoT) and the ease of collecting personal data, have led to significant breakthroughs in machine learning. However, they have also raised new concerns about privacy data protection. Controversies like the Facebook-Cambridge Analytica scandal highlight unethical practices in today’s digital landscape. Historical privacy incidents have led to the development of technical and legal solutions to protect data subjects’ right to privacy. However, within machine learning, these problems have largely been approached from a mathematical point of view, ignoring the larger context in which privacy is relevant. This technical approach has benefited data-controllers and failed to protect individuals adequately. Moreover, it has aligned with Big Tech organizations’ interests and allowed them to further push the discussion in a direction that is favorable to their interests. This paper reflects on current privacy approaches in machine learning and explores how various big organizations guide the public discourse, and how this harms data subjects. It also critiques the current data protection regulations, as they allow superficial compliance without addressing deeper ethical issues. Finally, it argues that redefining privacy to focus on harm to data subjects rather than on data breaches would benefit data subjects as well as society at large. | |
| 610 | 4 | |a Euronews European Union | |
| 651 | 4 | |a United States--US | |
| 651 | 4 | |a California | |
| 653 | |a Public interest | ||
| 653 | |a Machine learning | ||
| 653 | |a Personal information | ||
| 653 | |a Internet of Things | ||
| 653 | |a Science | ||
| 653 | |a Organizations | ||
| 653 | |a Privacy | ||
| 653 | |a Data processing | ||
| 653 | |a Personal health | ||
| 653 | |a General Data Protection Regulation | ||
| 653 | |a Right of privacy | ||
| 653 | |a Human rights | ||
| 653 | |a Social sciences | ||
| 653 | |a Ethics | ||
| 653 | |a Breaches | ||
| 653 | |a Internet | ||
| 653 | |a Scandals | ||
| 653 | |a Data | ||
| 653 | |a Ethical dilemmas | ||
| 653 | |a Regulation | ||
| 653 | |a Protection | ||
| 653 | |a Data integrity | ||
| 653 | |a Social | ||
| 700 | 1 | |a Jacquemin, Marine |u Maastricht University Medical Centre, Radiation Oncology (MAASTRO) GROW School for Oncology and Reproduction, Maastricht, Netherlands (GRID:grid.412966.e) (ISNI:0000 0004 0480 1382) | |
| 700 | 1 | |a van Soest, Johan |u Maastricht University Medical Centre, Radiation Oncology (MAASTRO) GROW School for Oncology and Reproduction, Maastricht, Netherlands (GRID:grid.412966.e) (ISNI:0000 0004 0480 1382); Maastricht University, Brightlands Institute for Smart Society (BISS), Faculty of Science and Engineering, Maastricht, Netherlands (GRID:grid.5012.6) (ISNI:0000 0001 0481 6099) | |
| 700 | 1 | |a Stahl, Nina |u University Maastricht, Department of Health, Ethics and Society (HES), Faculty of Health, Maastricht, Netherlands (GRID:grid.5012.6) (ISNI:0000 0001 0481 6099) | |
| 700 | 1 | |a Townend, David |u University of London, City Law School, London, United Kingdom (GRID:grid.4464.2) (ISNI:0000 0001 2161 2573); University Maastricht, Department of Health, Ethics and Society (HES), Faculty of Health, Maastricht, Netherlands (GRID:grid.5012.6) (ISNI:0000 0001 0481 6099) | |
| 700 | 1 | |a Dekker, Andre |u Maastricht University Medical Centre, Radiation Oncology (MAASTRO) GROW School for Oncology and Reproduction, Maastricht, Netherlands (GRID:grid.412966.e) (ISNI:0000 0004 0480 1382) | |
| 700 | 1 | |a Bermejo, Inigo |u Maastricht University Medical Centre, Radiation Oncology (MAASTRO) GROW School for Oncology and Reproduction, Maastricht, Netherlands (GRID:grid.412966.e) (ISNI:0000 0004 0480 1382); Hasselt University, Data Science Institute, Hasselt, Belgium (GRID:grid.12155.32) (ISNI:0000 0001 0604 5662) | |
| 773 | 0 | |t Ethics and Information Technology |g vol. 27, no. 3 (Sep 2025), p. 32 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3222714713/abstract/embedded/160PP4OP4BJVV2EV?source=fedsrch |
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| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3222714713/fulltextPDF/embedded/160PP4OP4BJVV2EV?source=fedsrch |