Legitimate interest as a lawful basis for AI training: limits, safeguards, and governance

This thesis intends to answer the following questions: · Can legitimate interest under Article 6(1)(f) GDPR serve as a lawful basis for training AI models on personal data? · Considering that legitimate interest is not enough to comply with special category data restrictions, what alternatives can be put in place for this type of processing? · Which mitigation measures (including obligations under the AI Act) should be implemented for a privacy compliant governance framework?

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17244761
Primary Topic
Nonlinear Photonic Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Legitimate interest as a lawful basis for AI training: limits, safeguards, and governance

Zenodo (CERN European Organization for Nuclear Research)
Nonlinear Photonic Systems
article

Legitimate interest as a lawful basis for AI training: limits, safeguards, and governance

article en

Abstract

This thesis intends to answer the following questions: · Can legitimate interest under Article 6(1)(f) GDPR serve as a lawful basis for training AI models on personal data? · Considering that legitimate interest is not enough to comply with special category data restrictions, what alternatives can be put in place for this type of processing? · Which mitigation measures (including obligations under the AI Act) should be implemented for a privacy compliant governance framework?

Zenodo (CERN European Organization for Nuclear Research)
Maastricht University (NL)
Decent work and economic growth
Openalex Percentile: Top 49%
Nonlinear Photonic Systems
DOIOpen Access PDFOpenAlex
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Legitimate interest as a lawful basis for AI training: limits, safeguards, and governance · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS