Research on Challenges and Legal Measures for Personal Data Protection in Generative AI

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.