AI與倫理(1101)

陳柏良
創新國際學院
2021/09/13
~ 2022/01/14
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開課教師|Instructor


陳柏良
助理教授

專長領域:比較刑事法、法律社會學、近代東亞法律史、政治資金管理制度之法律與政策分析

課程介紹|Content


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。

  • 本課程已申請深耕辦數位互動課程補助計畫(E計畫)。修課同學、網路學員或旁聽同學皆應簽署「參與數位互動課程(E計畫)同意書」並遵守相關規範,始得參與本課程。

課程目標|Goal


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

課程進度|Schedule


Week

Topic

Content and Reading Assignment

Teaching Activities and Homework

Student workload expectation

In-class Hours

Outside-of-class Hours

1

Overview

 

 

 

3

2

2

Machine Morality

Ethics of Artificial Intelligence, Ch. 1

 

3

5

3

The Use and Abuse of the Trolley Problem: Self Driving Cars

 

Ethics of Artificial Intelligence, Ch. 2

 

3

5

4

The Moral Psychology of AI and the Ethical Opt-Out Problem

 

Ethics of Artificial Intelligence, Ch. 3

 

3

5

5.

Modeling and Reasoning with Preferences and Ethical Priorities in AI Systems

 

Ethics of Artificial Intelligence, Ch. 4

 

3

5

6.

Computational Law, Symbolic Discourse, and the AI Constitution

 

Ethics of Artificial Intelligence, Ch. 5

 

3

5

7.

Planning for Mass Unemployment

 

Ethics of Artificial Intelligence, Ch. 6

 

3

5

8.

Autonomous Weapons 

 

Ethics of Artificial Intelligence, Ch. 7

 

3

5

9.

Ethical Matrix

 

Ethics of Artificial Intelligence, Ch. 8

 

3

5

10.

The Ethics of Artificial Sexuality

Ethics of Artificial Intelligence, Ch. 9

 

3

5

11.

Alignment for Advanced Machine Learning Systems

 

Ethics of Artificial Intelligence, Ch. 12

 

3

5

12

Moral Machines: From Value Alignment to Embodied Virtue

Ethics of Artificial Intelligence, Ch. 13

 

3

5

13

Machine Learning Values

Ethics of Artificial Intelligence, Ch. 14

 

3

5

14

How to Catch an AI Zombie

Ethics of Artificial Intelligence, Ch. 15

 

3

5

15

Designing AI with Rights, Consciousness, Self-Respect, and Freedom

Ethics of Artificial Intelligence, Ch. 16

 

3

5

16

The Moral Status and Rights of Artificial Intelligence

 

Ethics of Artificial Intelligence, Ch. 17

 

3

5

17

Final Presentation

 

 

 

3

5

18

Final Presentation

 

 

3

5

上課形式|Activities


50%

講述Lecture

10%

討論Discussion

0%

小組活動Group activity

10%

數位學習E-learning

30%

其他:Others:實務模擬活動

評分標準|Grading


Course Participation:20%

Mid-term presentation:20 %

Final presentation: 20%

Final Paper: 30 % (3000 words)

參考書目|Readings


S. Matthew Liao, Ethics of Artificial Intelligence (Oxford, 2020)
ISBN-13: 978-0190905033

ISBN-10: 0190905034

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