https://mail.insyma.org/proceedings/files/original/articles/13. Vietnam_Nguyen Minh Thu.pdf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Proceedings of the International Symposium on Management (INSYMA) (Vol 22, 2025) Proceedings meta_title Legal Risks of Applying Artificial Intelligence as Robo-advisors: International Experiences and Suggestions for Vietnam Author #1 Nguyen Minh Thu Author #2 Dang Thi Xuan Author #3 Tran Vu Duc Hung Abstract/Description The rise of AI has revolutionized finance, particularly with robo-advisors, offering cost-effective, accessible, and unbiased investment advice. However, this integration presents significant legal hurdles, including liability for financial losses, data protection, algorithmic manipulation, and regulatory gaps. While some nations have established risk-mitigation regulations, Vietnam's user protection framework remains nascent. This paper analyzes the legal risks of AI in virtual financial advisory, comparing Singapore's regulatory model with Vietnam's. It proposes evidence-based policy solutions to optimize the governance and management of these advisors, thereby fostering the advancement of Vietnam's financial market within the ambit of digital transformation. keywords a;b;c;d Legal risks, AI, robo-advisors, Vietnam, financial technology. publication_date 2025/06/20 2025/06/20 pdf_url https://insyma.org/proceedings/files/articles/13. Vietnam_Nguyen Minh Thu.pdf abstract_html_url https://insyma.org/proceedings/items/show/ https://insyma.org/proceedings/items/show/501 firstpage 1164 lastpage 1170 issn 3047-857X 3047-857X conference Proceedings of the International Symposium on Management (INSYMA) Proceedings of the International Symposium on Management (Volume 21, 2024) publisher_name Fakultas Bisnis dan Ekonomika, Universitas Surabaya Fakultas Bisnis dan Ekonomika, Universitas Surabaya no article 189 Volume 22 authors Nguyen Minh Thu, Dang Thi Xuan, Tran Vu Duc Hung Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Legal Risks of Applying Artificial Intelligence as Robo-advisors: International Experiences and Suggestions for Vietnam Creator An entity primarily responsible for making the resource Nguyen Minh Thu