Date: 2023
Type: Thesis
GDPR’s reflection in privacy-enhancing technologies : implications for AI data protection
Florence : European University Institute, 2023, EUI, STG, Master Thesis, 2023
RINTAMÄKI, Tytti Katariina, GDPR’s reflection in privacy-enhancing technologies : implications for AI data protection, Florence : European University Institute, 2023, EUI, STG, Master Thesis, 2023 - https://hdl.handle.net/1814/76052
Retrieved from Cadmus, EUI Research Repository
The responsibility for regulating emerging technologies such as AI is falling into the hands of the Data Protection Regulators as responsibility is attributed to them through the AI Act. The General Data Protection Regulation (GDPR) will serve as the data governance framework that is expected to protect European data. Despite debates, this paper will show that GDPR and AI systems can coexist. But how should AI systems begin to implement GDPR in their design? This study turns to Privacy-enhancing technologies (PETs) and how well they reflect GDPR to draw lessons for future AI. This analysis finds through content analysis that GDPR is largely reflected in the privacy policies, bylaws and codes of conduct of various PETs and encourages AI systems to learn from this. Specifically this research suggests that AI systems should utilize PETs as tools to further enhance their data protection and compliance with GDPR.
Additional information:
Award date: 15 June 2023; Supervisor: Andrea Renda, European University Institute
Cadmus permanent link: https://hdl.handle.net/1814/76052
Full-text via DOI: 10.2870/4790569
Series/Number: EUI; STG; Master Thesis; 2023
Publisher: European University Institute
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