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Executive - Fall 2023 - Responsible AI, Law, Ethics & Society



Class Date Topics Verticals
1 October 17th AI & Us Social Welfare
2 October 24th Liability & Robustness Autonomous Vehicles
3 October 31st Discrimination & Fairness Labour Market
4 November 7th Privacy Transportation
5 November 14th Foundation Models & GenAI Ecosystem
6 November 21st Integration: Content Moderation Social Media Platforms
7 November 28th AI Governance -

Class Hours

The course comprises seven meetings of four clock hours, in a workshop format. The topics explore some of the core issues in the landscape of Responsible AI, law, ethics and society.

October 17th - November 28th 2023 | Tuesday
4 pm - 8 pm (Israel Time Zone)


Prof. Avigdor Gal
Faculty of Industrial Engineering & Management

Prof. Niva Elkin-Koren
Faculty of Law
Tel Aviv University

Dr. Karni Chagal-Feferkorn
Tel Aviv University

Shlomi Hod
Computer Science PhD student
Boston University

Adv. Amit Ashkenazi
University of Haifa

Adv. Hofit Wasserman Rozen
Law PhD candidate
Tel Aviv University


The teaching is based on the signature pedagogy of each discipline; case-studies for Law and iterated and interactive research of data (e.g., with Jupyter Notebook) for Data Science. These two pedagogies are being used in every class, accessible to all of the students, and integrated together.


Every class is built around one central task that requires the integration of law and data science perspectives with ethical considerations. The tasks are performed in teams which will be formed before the start of the course. Teams are assigned by the course staff and are fixed for the duration of the course. Teams are designed to consist of mixed backgrounds and disciplines.


Cross-disciplinary teamwork is an indispensable component in this course, so the active participation of all students is necessary for successful learning.

In-Class Assignments

In every class, all teams are required to submit a half-pager memo and a deck of a few slides at the end of each class. Each team will present twice during the course.