Enhancing data protection in AI-driven investment and robo-advisory services: a comparative analysis of EU and China regulatory approaches
Year: 2025
Type: article
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.
Source: Law Ethics & Technology
DOI: 10.55092/let20250002
Authors: Gaojue Liang, Lerong Lu
Institutions: Durham University, King's College London
Language: English
Subfield: Law
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4408201447