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 |
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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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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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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 |
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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% |
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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 |
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