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Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection

Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection

Privacy-preserving techniques in AI have garnered significant attention, particularly as regulations such as the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) come into force. Existing methods provide foundational solutions but have limitations when applied to large-scale data systems.

Mahesh Vaijainthymala Krishnamoorthy

JMIRx Med 2025;6:e70100

Ethical, Legal, and Practical Concerns Surrounding the Implemention of New Forms of Consent for Health Data Research: Qualitative Interview Study

Ethical, Legal, and Practical Concerns Surrounding the Implemention of New Forms of Consent for Health Data Research: Qualitative Interview Study

The General Data Protection Regulation (GDPR), which was introduced in the EU in 2018, constitutes an important part of existing governance frameworks. Although it contributes to harmonizing legal approaches to data sharing in member states, it does not prescribe a specific model of consent when consent is used as a basis to legally justify the use of health data for research. In fact, under certain conditions, the GDPR permits accessing health data for research without consent [16,17].

Svenja Wiertz, Joachim Boldt

J Med Internet Res 2024;26:e52180

Practices and Attitudes of Bavarian Stakeholders Regarding the Secondary Use of Health Data for Research Purposes During the COVID-19 Pandemic: Qualitative Interview Study

Practices and Attitudes of Bavarian Stakeholders Regarding the Secondary Use of Health Data for Research Purposes During the COVID-19 Pandemic: Qualitative Interview Study

The European Union's (EU) General Data Protection Regulation (GDPR) is a key legal framework for the use and exchange of European digital health data for research purposes [18]. The GDPR entered into force in May 2016 but was only applied from May 25, 2018.

Stuart McLennan, Sarah Rachut, Johannes Lange, Amelia Fiske, Dirk Heckmann, Alena Buyx

J Med Internet Res 2022;24(6):e38754

Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study

Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study

Given the definition in Recital 26 [76] of the most recent GDPR update, data anonymization (the term is common in Europe, whereas deidentification is more commonly used in North America) is a useful tool for sharing personal data while preserving privacy. Anonymization can be achieved by changing identifiers through removal, substitution, distortion, generalization, or aggregation.

Zheming Zuo, Matthew Watson, David Budgen, Robert Hall, Chris Kennelly, Noura Al Moubayed

JMIR Med Inform 2021;9(10):e29871

Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis

Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis

We focus on the GDPR because of the persistence of national divergences in member state law, despite the passage of the GDPR. In particular, the GDPR provides member states can introduce further conditions, including restrictions on processing of genetic data, biometric data, or health-related data. These exceptions exist outside the narrow circumstances in which special categories of personal data, which genetic data, biometric data, or health-related data belong to, can be processed [6].

James Scheibner, Jean Louis Raisaro, Juan Ramón Troncoso-Pastoriza, Marcello Ienca, Jacques Fellay, Effy Vayena, Jean-Pierre Hubaux

J Med Internet Res 2021;23(2):e25120