Author(s)

Wang Jiayi ¹

Affiliation(s)

¹ Beijing University of Chemical Technology, Chaoyang, Beijing, China

Corresponding Author

Wang Jiayi

ABSTRACT

GenAI jeopardizes personal data through misinformation proliferation, invasive profiling, and algorithmic opacity. Current legal frameworks lack AI-specific adaptability, failing to address synthetic data governance and risk escalation. Urgent reforms demand adaptive legislation harmonizing GDPR/PIPL standards, strengthened enforcement mandates, and ISO 31700-certified privacy engineering. Key priorities are defining algorithmic accountability, creating systems for certifying synthetic content, and integrating Privacy-by-Design principles in AI development for a balance between innovation and data protection.

KEYWORDS

Generative Artificial Intelligence, Protection of personal data, Legal issues, Response strategies

CITE THIS PAPER

Wang Jiayi. Research on Challenges and Legal Measures for Personal Data Protection in Generative AI. Science of Law Journal (2025) Vol. 4: 100-105. DOI: http://dx.doi.org/DOI: 10.23977/law.2025.040114.

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