SemesterFall Semester, 2023
DepartmentJunior Class A, Department of Law Junior Class B, Department of Law Junior Class C, Department of Law Senior Class A, Department of Law Senior Class B, Department of Law Senior Class C, Department of Law
Course NameSpecialized Course III (GTIM): Artificial Intelligence and Ethics
Course TypeElective
Course Objective
Course Description
Course Schedule

Course Schedule & Requirements

Course Schedule & Requirements



Content and Reading Assignment

1. 9/13

Introduction & Overview


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 

Are Algorithms Value-Free? - Gabrielle M. Johnson 

4. 10/6

AI and Democracy

Guest Lecturer: Miller

5. 10/11


Algorithmic injustice - Abeba Birhane ????

Data Owning Democracy or Digital Socialism? - James Muldoon 

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  

On the Advantages of Distinguishing Between Predictive and Allocative Fairness in Algorithmic Decision?Making - Fabian Beigang -   

12. 11/29


Transparency in Complex Computational Systems - Kathleen Creel   ??? ?

Algorithmic and Human Decision Making - Mario Günther and Atoosa Kasirzadeh

13. 12/6


A modern Pascal's wager for mass electronic surveillance. - David Danks

The Surveillance Society - Oscar H. Handy Jnr. 

14. 12/13


Ethical Issues in Advanced Artificial Intelligence - Nick Bostrom

Risk Imposition by Artificial Agents - Johanna Thoma 

15. 12/20

Group Discussion & Office Hour


16. 12/27

Group Discussion & Office Hour


17. 1/3

Final Presentation


18. 1/10

Final presentation




Teaching Methods
Teaching Assistant




Course Participation20%

Mid-term presentation20 %

Final presentation: 20%

Final Paper: 30 % (3000 words)


Textbook & Reference

Frank Pasquale, New Laws of Robotics: Defending Human Expertise in the Age of AI (2020).

ISBN-10: ‎ 0674975227

ISBN-13: ‎ 978-0674975224

Brad Smith, Tools and Weapons: The Promise and the Peril of the Digital Age (2019).

ISBN-10 ‏ : ‎ 1984877712

ISBN-13 ‏ : ‎ 978-1984877710

Markus D. Dubber, Frank Pasquale, & Sunit Das, The Oxford Handbook of Ethics of AI (2020).

Urls about Course
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