Law, Algorithm, and AI

Combination of Law and Technology

Our distinguished instructors and academically rigorous courses provide insights into how laws govern AI and algorithms, as well as how LegalTech utilizes AI, preparing you to navigate the intersection of technology and legal regulation.

Exploring Legal Practice in Taiwan

We offer a series of field trips to the Judicial Yuan, the highest judicial body in Taiwan, as well as leading law firms and other law-related institutions in Taipei, allowing students to gain insight into the legal development and practice in Taiwan.

2026 Summer+ Programs

Law, Algorithm, and AI (July 9 - 29, 2026)

Law, Algorithm, and AI (3 NTU short-term program credits)

This program consists of three sections: (1) Modern AI Law, focusing on regulations such as AI liability, AI transparency and explainability, and AI discrimination; (2) Law, Data, and AI, exploring AI-based data technologies and their impact on financial regulation and the data economy; and (3) AI and Empirical Legal Studies, introducing advanced data analytical methodologies like AI and machine learning for legal research. Students will study intensively for 4-6 hours daily to complete these sections throughout the 3-week program.

*The participants will receive an academic transcript with 3 NTU short-term program credits upon completion. If they wish to have their credits approved, they should consult their home institutions and credit advisors in advance.

*Admission Letter, Official Transcript, and Certificate of Completion will be provided electronically. If a physical copy is needed, please notify us in advance.

Modern AI Law (AI Law)

This course will introduce the modern regulations related to AI and apply these regulations to industrial applications. It will cover issues including AI liability, AI transparency and explainability, and AI discrimination.
 
Dr. Yueh-Ping (Alex) Yang is an Associate Professor at the College of Law, National Taiwan University. Dr. Yang received his S.J.D. degree from Harvard Law School. Dr. Yang's research areas include financial regulation, FinTech, corporate governance, law and economics, and international economic laws.

The AI Actor in Legal Society (AI Actor)

This course examines the transformative impact of AI on the legal profession through three interconnected perspectives: judges/jurisprudence (across IP, torts, contracts, antitrust & legal ethics), juries/laypersons (pro se use), and lawyers (the epidemic of reliance on AI tools and hallucinated authorities). Through case studies, ethics discussions, and policy debates, students will critically evaluate whether regulation and disclosure requirements are necessary, or whether the legal profession will organically adapt to AI as it has with prior technological revolutions.

Professor Timothy T. Hsieh is a legal scholar, educator, and writer whose work focuses on AI, IP, legal ethics, and the evolving relationship between technology and society. His teaching and scholarship explore how emerging technologies are reshaping legal doctrine, advocacy, judicial decision-making, and legal education. Professor Hsieh is particularly interested in the philosophical and practical implications of AI-generated legal reasoning, authorship, and human identity within modern legal systems. In addition to his academic work, he is also a filmmaker, film producer and creative writer whose interdisciplinary approach bridges law, technology, storytelling, and culture.

AI and Empirical Legal Studies (AI & ELS)

This course will introduce how data can be used to inform legal studies. It will discuss different empirical legal methodologies based on different data analytical technologies, including advanced machine learning and AIs.
 
Dr. Chung-Chia (Patrick) Huang is currently an Assistant Professor at the College of Law at National Taiwan University. He received his J.S.D. from the University of Chicago. Dr. Huang specializes in criminal law, white-collar and financial crimes, and money laundering laws.

International Economic Law in the Era of AI and Digitalization (IEL & AI)

This course introduces contemporary trade and investment rules that shape the development of artificial intelligence and digital trade. Topics include export controls on high-tech products, investment facilitation and screening mechanisms designed to support supply-chain reshoring, and new-generation international economic agreements that are contributing to an emerging plurilateral economic order for future AI governance.

Dr. Mao-wei Lo is an Assistant Professor at the College of Law, National Taiwan University. He received his J.S.D. from Stanford Law School. His research focuses on WTO law, international investment law and arbitration, and public international law.

The program fee includes tuition, accommodation, orientation, cultural courses, program activities, meals on class days, travel insurance, and welcome and farewell events.

*Housing information will be confirmed later.

Refund Policy

The application fee is non-refundable under any circumstances.

The program fee is: 

• fully refundable if NTU cancels the program.
• 90% refundable if the student cancels the program before the start of class.
• 50% refundable if the student cancels the program before finishing 1/3 of the program.
• not refundable if the student cancels after finishing more than 1/3 of the program.

*Please note our program is a package, including some optional activities. The fee for activities won't be refunded if you choose to be absent from these activities.

*For PRC students only: A Taiwan Entry Permit application fee (USD 40) will be added to the program fee. This fee is non-refundable.