Article
Open Access
Enhancing data protection in AI-driven investment and robo-advisory services: a comparative analysis of EU and China regulatory approaches
1 Durham Law School, Durham University, UK
2 The Dickson Poon School of Law, King's College London, UK
  • Volume
  • Citation
    Liang G, Lu L. Enhancing data protection in AI-driven investment and robo-advisory services: a comparative analysis of EU and China regulatory approaches. Law Ethics Technol. 2025(1):0002, https://doi.org/10.55092/let20250002. 
  • DOI
    10.55092/let20250002
  • Copyright
    Copyright2025 by the authors. Published by ELSP.
Abstract

Artificial Intelligence (AI) is driving innovation in the financial investment sector, but it also poses significant challenges for protecting investors’ personal information. The extensive data requirements for robo-advice, coupled with technological security risks, insufficient user awareness, trust concerns, and the frequently ambiguous or non-compliant nature of privacy statements, present significant challenges to the protection of investor information. Both the European Union (EU) and China face these challenges, though in distinct ways, with their regulatory frameworks offering opportunities for mutual learning and advancement. To improve the protection of investor data in both regions, it is essential to strengthen legal regulations, increase oversight of robo-advisory platforms, implement innovative regulatory models, and enhance user awareness.

Keywords

artificial intelligence; FinTech; Robo-advice; investor privacy protection; data security; regulatory frameworks; European Union; China

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