課程資訊
課程名稱
 人工智慧倫理學
Ethics of Artificial Intelligence 
開課學期
 110-2 
授課對象
 文學院  哲學系  
授課教師
 史德凡 
課號
 Phl2811 
課程識別碼
 104E57100 
班次
  
學分
 3.0 
全/半年
 半年 
必/選修
 選修 
上課時間
 星期三7,8,9(14:20~17:20) 
上課地點
 新502 
備註
 本課程以英語授課。(C)哲學專題群組，群組課程請參閱本系網頁修業課程規定。
總人數上限：60人 
  
課程簡介影片
 
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

Artificial intelligence (AI) and big data are becoming more and more important in our lives. This course will be an introduction to ethical issues arising in artificial intelligence and machine learning. We will look at many big picture conceptual issues, such as concerns over responsibility in AI, fairness and bias in algorithms, and decision making using AI. We will also explore more focused issues, such as risk with autonomous vehicles, privacy, and misinformation. Students will develop their understanding of the concepts involved and learn to think critically about many important ethical issues arising in our world. Students will develop their understanding of the concepts involved through in-class discussion and writing assignments. This course will be in English and it will not presuppose any technical background. 

課程目標
 The aim of the course is to provide students with conceptual tools for thinking about the ethical issues arising from the use of AI and machine learning. Students will learn general concepts from ethics as well as how to apply them in thinking about AI and machine learning. 
課程要求
 無 
預期每週課後學習時數
  
Office Hours
 每週三 17:20~18:20 備註： You can also make an appointment for an online meeting by sending me a message via NTU COOL or by email. 
指定閱讀
 The required books for the class are
1. O'Neil, C. (2016)."Weapons of Math Destruction". New York: Crown Publishers.
2. Coeckelbergh, M. (2020)."AI Ethics". Cambridge: MIT Press.
3. Wallach, W.,& Allen, C(2009)."Moral Machines". Oxford: Oxford University Press
The latter two are available for download through the NTU Library website. The rest of the readings from the class will be from articles and chapters made available through NTU COOL. 
參考書目
 無 
評量方式
(僅供參考)
  
No.
項目
百分比
說明
1. 
 Attendance and discussion 
15% 
  
2. 
 Two popular article summaries 
10% 
 5% each 
3. 
 Three short writing assignments 
45% 
 15% each 
4. 
 Long writing assignment  
30% 
  
 
課程進度
週次
日期
單元主題
第1週
 2/16  Introduction 
第1週
 2/16  Introduction 
第2週
 2/23  Can AI be conscious? 
第2週
 2/23  Can AI be conscious? 
第3週
 3/02  Can AI be ethical? 
第3週
 3/02  Can AI be ethical? 
第4週
 3/09  Autonomous vehicles and risk 
第4週
 3/09  Autonomous vehicles and risk 
第5週
 3/16  Responsibility and AI  
第5週
 3/16  Responsibility and AI  
第6週
 3/23  Responsibility and AI  
第6週
 3/23  Responsibility and AI  
第7週
 3/30  Decision making and explainable AI 
第7週
 3/30  Decision making and explainable AI 
第8週
 4/06  Decision making and explainable AI 
第8週
 4/06  Decision making and explainable AI 
第9週
 4/13  Algorithms, bias, and fairness 
第9週
 4/13  Algorithms, bias, and fairness 
第10週
 4/20  Algorithms, bias, and fairness 
第10週
 4/20  Algorithms, bias, and fairness 
第11週
 4/27  Privacy and survelliance 
第11週
 4/27  Privacy and survelliance 
第12週
 5/04  Mechanized and drone warfare 
第12週
 5/04  Mechanized and drone warfare 
第13週
 5/11  Free speech and misinformation 
第13週
 5/11  Free speech and misinformation 
第14週
 5/18  AI in society and medicine 
第14週
 5/18  AI in society and medicine 
第15週
 5/25  AI, automation, and work 
第15週
 5/25  AI, automation, and work 
第16週
 6/01  AI rights 
第16週
 6/01  AI rights 
第17週
 6/08  Flexible class 
第17週
 6/08  Flexible class 
第18週
 6/15  Flexible class 
第18週
 6/15  Flexible class