New Course | Artificial Intelligence and Policy Tools

UPCOMING EVENT

New Course | Artificial Intelligence and Policy Tools

Friday, 17th Jan, 2025 New Course | Artificial Intelligence and Policy Tools

Unlocking future of AI with a comprehensive dive into technology, policy, law, and global regulations.

Course Name: Artificial Intelligence and Policy Tools 

Course ID: 11320TSE 605300

Language of Instruction: English

Course Credits and Schedule:

  • 2 credits
  • Wednesday 1:20-3:10 (Main)
  • Friday 1:20-4:20 (Occasionally)

Location: TSE (Map)

Instructors:

  • Professor H. T. Kung: William H. Gates Professor, Harvard University; an elected member of the National Academy of Engineering in the USA and the Academia Sinica in Taiwan; and the President and Co-founder of the Taiwan AI Academy.
  • Professor Jiunn-Rong Yeh: National Taiwan University Chair Professor; Professor of Law, NTU; former Minister, Ministry of Education; and former Minister, Ministry of the Interior, Taiwan, R.O.C.

Please check out the course syllabus for more details by clicking the link in the Attachment section below.

I. Introduction
The field of artificial intelligence (AI) is advancing rapidly, making profound impacts on people's welfare and governmental operations. However, policies and laws concerning AI regulation often do not keep pace with AI's technological advancements. This course “Artificial Intelligence and Policy Tools” is primarily aimed at training decision-making professionals working at the intersection of technology and policy to prepare for the emerging era of ubiquitous AI. The issues addressed in the course include how to regulate AI and formulate policy tools from national and global perspectives. Regulatory models that are developed or in development will be assessed for their merits and deliberative processes, with a focus on developing policy tools for both public and private domains. The course will study relevant literature and projects, and students are expected to engage with these materials and participate in dialectical learning. At the end of the semester, students will be required to submit project reports that reflect ideas inspired or developed during the class and present their findings.

II. Course Goals
To prepare for the emerging era of ubiquitous AI, the goals are to (i) train decision-making professionals working at the intersection of technology and policy and (ii) formulate general analytic frameworks for AI policies and regulations.

Information for Auditing Students

We welcome auditing students to participate in the class, but they each must submit a simple application to get approved. Auditors are required to attend all classes in person and do coursework, including report writings and in-class discussions, like regular students.

*Guidelines for Community Participants Auditing Courses

*If you have any inquiries about the course or are interested in auditing, please contact tse@my.nthu.edu.tw.