About Staff
Ms. Tsai is currently serving as a Project Manager, leading cutting-edge legal and policy research on AI regulations, data governance, and digital platform governance. She actively participates in AI governance initiatives and the drafting of the AI Risk Framework led by the Ministry of Digital Affairs and cross-ministerial task forces. She has also served as an external expert for the Taiwan Food and Drug Administration (TFDA) on the "Technical Guidelines for the Registration of AI/ML-based Software as a Medical Device."
Recipient of the Science & Technology Law Institute’s Excellent Research Award in both 2023 and 2024.
．Master of Science, UNIVERSITY OF AMSTERDAM, Faculty ofSocial and Behavioural Sciences
．LLB, NATIONAL CHENG KUNG UNIVERSITY
．Institute for Information Industry / Science & Technology Law Institute Project Manager (April 2024 – Present)
．Institute for Information Industry / Science & Technology Law Institute Senior Analyst (June 2023 – March 2024)
．Taiwan Food and Drug Administration, Ministry of Health and Welfare External Expert, Technical Guidelines for AI/ML-Based Software as a Medical Device (2020)
．Institute for Information Industry / Science & Technology Law Institute Analyst (February 2018 – June 2023)
Publications
．Yijen Tsai, A New Era of Tort Liability for Artificial Intelligence? Observations on the Legislative Direction of the EU AI Liability Directive Proposal, Science & Technology Law Review, Vol. 35 (No. 10), 47 (2023).
．Yijen Tsai, Group Privacy: The Evolving Public Meaning of Genetic Data in Light of International Norms and European Court of Human Rights Judgments, Science & Technology Law Review, Vol. 35 (No. 4), 38 (2023).
．Yijen Tsai, An Introduction to the U.S. Federal Data Privacy and Protection Act, Science & Technology Law Review, Vol. 35 (No. 7), 30 (2023).
．Yijen Tsai, A Brief Discussion on Dynamic Consent Mechanisms for Data Subjects in Biomedical Research, Contemporary Law Journal, Vol. 1, 77 (2022).
．Yijen Tsai, An Overview of Laws and Policies in the EU and U.S. Regarding the Market Approval of AI-Based Medical Device Software, Science & Technology Law Review, Vol. 31 (No. 10), 30 (2019).
．ISO/IEC 42001:2023 AI management systems
．ISO 14067:2018 Greenhouse gases — Carbon footprint of products — Requirements and guidelines for quantification
．ISO/IEC 27001:2022 Information security, cybersecurity and privacy protection — Information security management systems
．Microsoft Certified: Azure AI Engineer Associate