Type of Credit: Elective
Credit(s)
Number of Students
Recent advances in computing may place us at the threshold of a unique turning point in human history. Soon we are likely to entrust management of our environment, economy, security, infrastructure, food production, healthcare, and to a large degree even our personal activities, to artificially intelligent computer systems.
The prospect of "turning over the keys" to increasingly autonomous systems raises many complex and troubling questions. How will society respond as versatile robots and machine-learning systems displace an ever-expanding spectrum of blue- and white-collar workers? Will the benefits of this technological revolution be broadly distributed or accrue to a lucky few? How can we ensure that these systems respect our ethical principles when they make decisions at speeds and for rationales that exceed our ability to comprehend? What, if any, legal rights and responsibilities should we grant them? And should we regard them merely as sophisticated tools or as a newly emerging form of life?
隨著近期AI與自動化設備之技術發展，已達到人類歷史發展之轉折點，人類非常可能大規模地將環境、經濟發展、安全、基礎設備、食物生產與分配、健康照護與保險交由AI與自動化設備安排與執行。
本課程目標在介紹AI技術對於倫理與法律制度之衝擊。此次邀請國內外法學者與學生一同參與線上課程，營造國際化學習環境，豐富學生學習資源，增進臺灣與各國學生對於AI技術將造成的社會、政治、經濟與文化衝擊等議題，例如：AI與自動化設備取代白領與藍領勞工工作機會之社會衝擊評估與對應？AI與自動化設備之技術革命帶來之整體利益，是否能公平分配？如何在AI與自動化設備進行自動決策時，確保道德原則？法律是否該賦予AI與自動化設備法律權利與責任，抑或僅是工具或輔助物？進行學術與文化交流，並由臺灣學者介紹臺灣與美國現行與正在研擬之相關法律制度與政策以資比較，藉此使學生能瞭解AI所帶來的衝擊，增進學生到東協國進修或就業的動力，同時也能開展臺灣與東協國家間學術互動與合作的契機。
能力項目說明
B. The Goals of the Course
The goal of this course is to equip students with the intellectual tools, ethical foundation, and psychological framework to successfully navigate the coming age of intelligent machines.
本課程在介紹AI與智慧型設備對倫理、法律與社會之衝擊與挑戰。我國學界對AI與自動化設備將帶來之社會、經濟、文化與政治衝擊之瞭解仍非常有限。本門課邀請的國內外學者對現今美國與台灣的法制有相當程度的掌握，將從現今美國與台灣法制的觀察角度，詳細剖析當代法制的基礎結構與特色，以及AI與自動化設備之技術革命所帶來之衝擊與回應。
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
Course Schedule & Requirements
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Course Schedule & Requirements |
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|
week |
Topic |
Content and Reading Assignment |
|
1. 9/13 |
Introduction & Overview |
N/A |
|
2. 9/20 |
Ethics of Artificial Intelligence |
Oxford Handbook, Ch. 1 New Law of Robotics, Ch.1 |
|
3. 9/27 |
Fairness & Bias |
Algorithmic bias - Sina Fazelpour and David Danks https://compass.onlinelibrary.wiley.com/doi/10.1111/phc3.12760?af=R Are Algorithms Value-Free? - Gabrielle M. Johnson https://www.gmjohnson.com/uploads/5/2/5/1/52514005/are_algorithms_value_free_.pdf |
|
4. 10/6 |
AI and Democracy |
Guest Lecturer: Miller |
|
5. 10/11 |
Justice |
Algorithmic injustice - Abeba Birhane https://www.sciencedirect.com/science/article/pii/S2666389921000155 Data Owning Democracy or Digital Socialism? - James Muldoon https://www.tandfonline.com/doi/full/10.1080/13698230.2022.2120737 |
|
6. 10/18 |
Healing Humans |
New Law of Robotics, Ch.2 |
|
7. 10/25 |
Machine Learners |
New Law of Robotics, Ch.3 |
|
8. 11/1 |
The Alien Intelligence of Media |
New Law of Robotics, Ch.4 |
|
9. 11/8 |
Machines Judging Humans |
New Law of Robotics, Ch.5 Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead - Cynthia Rudin |
|
10. 11/15 |
Computational Power and Human Wisdom |
New Law of Robotics, Ch.7 & 8 |
|
11. 11/22 |
Bias Dilemma |
The Bias Dilemma - Oisín Deery and Katherine Bailey https://ojs.lib.uwo.ca/index.php/fpq/article/view/14292 On the Advantages of Distinguishing Between Predictive and Allocative Fairness in Algorithmic Decision‐Making - Fabian Beigang - https://link.springer.com/article/10.1007/s11023-022-09615-9 |
|
12. 11/29 |
Transparency |
Transparency in Complex Computational Systems - Kathleen Creel Algorithmic and Human Decision Making - Mario Günther and Atoosa Kasirzadeh https://www.mario-guenther.com/_files/ugd/70b9dd_ff087ae509034fb9b126dcf783182457.pdf |
|
13. 12/6 |
Privacy |
A modern Pascal's wager for mass electronic surveillance. - David Danks https://static1.squarespace.com/static/5f6d0320212a261d8716949f/t/621319146907794d4dba3724/1645418773886/Telos-PascalsWager-Pub.pdf The Surveillance Society - Oscar H. Handy Jnr. https://academic.oup.com/joc/article-abstract/39/3/61/4210548 |
|
14. 12/13 |
Alignment |
Ethical Issues in Advanced Artificial Intelligence - Nick Bostrom https://nickbostrom.com/ethics/ai Risk Imposition by Artificial Agents - Johanna Thoma https://johannathoma.files.wordpress.com/2021/02/moral-proxy-problem-feb-2021.pdf |
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15. 12/20 |
Group Discussion & Office Hour |
|
|
16. 12/27 |
Group Discussion & Office Hour |
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17. 1/3 |
Final Presentation |
|
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18. 1/10 |
Final presentation |
|
Course Participation：20%
Mid-term presentation：20 %
Final presentation: 20%
Final Paper: 30 % (3000 words)
ISBN-10: 0674975227
ISBN-13: 978-0674975224
ISBN-10 : 1984877712
ISBN-13 : 978-1984877710
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