課程資訊
課程名稱
人工智慧法律規範及責任
Artificial Intelligence Regulation and Liability 
開課學期
109-2 
授課對象
法律學院  法律研究所  
授課教師
高銘佑 
課號
LAW7406 
課程識別碼
A21EM9460 
班次
 
學分
2.0 
全/半年
半年 
必/選修
選修 
上課時間
星期三6,7(13:20~15:10) 
上課地點
霖研五1702 
備註
本課程以英語授課。停修截止:5/21(停修單).
限法律學院學生(含輔系、雙修生)
總人數上限:20人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1092LAW7406 
課程簡介影片
 
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課程概述

*本課程採實體授課。
*This course will be taught in person by the professor.

This course addresses emerging regulatory and liability issues related to artificial intelligence. The relationship between technology and humans has become less readily identifiable, which raises significant legal issues that have not been resolved. Yet, such issues are important to examine because advances in technology have led to major changes in transportation, manufacturing, medicine, and other sectors. This course provides an overview of the landscape of AI regulatory regimes in the United States, the United Kingdom, the European Union, and other selected jurisdictions to explore how different states have approached the issue and their readiness and ability to adapt to change. It also covers intellectual property, criminal liability, civil liability, insurance, privacy, cybersecurity, and discrimination issues that may arise with the development and increasing adoption of artificial intelligence technology. 

課程目標
待補 
課程要求
Should students are to withdraw from the course, please submit the Course Withdrawal Application Form before 21 May.
停修截止:5/21(停修單)
加簽:第一周課堂抽籤並發放授權碼,視教室座位決定加簽人數。 
預期每週課後學習時數
 
Office Hours
另約時間 備註: No regular office hours but students can email to make appointments. 
指定閱讀
待補 
參考書目
待補 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Final Paper 
50% 
2000-3000 words including footnotes. Two students can decide to write a joint paper. In that case, the final paper should be 4000-6000 words including footnotes. 
2. 
Paper Proposal (due Week 5) 
10% 
1 page for individual papers and 2 pages for joint papers. 
3. 
Class Presentation 
30% 
(can be based on your paper, the weekly topic, or a combination) – 10 minutes 
4. 
Class Attendance and Participation 
10% 
 
 
課程進度
週次
日期
單元主題
第1週
2/24  Introduction to Artificial Intelligence, Machine Learning, and Explainability Technologies 
第2週
3/03  The Ethics of AI 
第3週
3/10  Black Box, Algorithmic Bias, and AI Explainability 
第4週
3/17  AI Agency and Legal Personhood 
第5週
3/24  AI Regulatory Strategies in the EU, its Member States, and the UK 
第6週
3/31  AI Regulatory Strategies in the EU, its Member States, and the UK 
第7週
4/07  AI Regulatory Strategies in the US on Federal and State Levels 
第8週
4/14  AI Regulatory Strategies in the US on Federal and State Levels 
第9週
4/21  AI and Criminal Justice 
第10週
4/28  AI and Criminal Justice 
第11週
5/05  AI and Tort Liability 
第12週
5/12  AI and Tort Liability: Privacy 
第13週
5/19  AI and Intellectual Property 
第14週
5/26  Autonomous Vehicles Regulation and Liability 
第15週
6/02  AI and Fintech 
第16週
6/09  AI and Healthcare 
第17週
6/16  Review