Course // Responsible AI, Law, Ethics & Society

Instructions For The Final Project

Assignment summary

The final project consists of creating a 10th class for the course. The only difference is that this time, you are the instructors, not the students.
This is a team project, which you will complete with your original teams. Please note that grading is also by team, similar to other coursework.

Through this experience, we intend for you to engage with the material at a different angle – in order to create a tenth course, your team should collaborate not only to solve a predefined task but to collaboratively brainstorm, understand how the multiple disciplines overlap and influence each other for the topic of interest, and practically implement of their ideas.

In more detail:
In your final project, you will plan a “tenth class” of our course, “Responsible AI, Law, Ethics & Society” that engages students from the different disciplines to work together in solving joint tasks. While you will not be actually teaching the full class, you should prepare a 3 hour class plan with details on the structure of the class including the various activities / content taught. You will present your proposed class (~15 minutes) during the final class of this course. After the course is completed, you will submit a presentation with details on your proposed class, including the breakdown of the specific activities planned.

Choosing a topic

Your proposed class’ topic should include both a specific sector (i.e. transportation, health, HR, finance, housing, environment, etc.) as well as a professional topic (i.e. liability, transparency, fairness, human in the loop, competition, etc.) You may choose one of the sectors or topics that we have covered in class, but please do not use the same combination of sectors/topics and make sure that the class is not similar to any of the ones already taught during the course. Also, we encourage you to be creative and choose a new sector and topic altogether! Feel free to consult with the course instructors as you choose your sector and topic.


The structure of your proposed class should be similar to the ones presented at the course. It should include a table summarizing the flow of the class as well as a breakdown of the proposed activities.Ideally, your report should include:


Please submit your project by July 30th 10:00 EST / 17:00 IST, using Moodle. Only one team member should upload the project. The project shall be in the form of a Google doc / Word document, accompanied by a Jupiter notebook.

Project Proposal Presentations

For your upcoming presentation of your final project on June 17th, you will have 12 minutes to present your project. Every team member should take part in the presentation.

A proposed structure should include:

  1. The topic chosen
  2. The core legal, ethical and technical (DS) issues that you seek to demonstrate using the case study
  3. The description of the case study, in particular, the description of the relevant stakeholders
  4. The dataset/model that will be used
  5. How do you intend to demonstrate the specific legal, ethical and technical (DS) issues using the case study
  6. How could mechanisms/methods from Law and Data Science could help to address these issues


The final project accounts for 40% of your final grade. Like the other components of the final grade, the project will be graded on a team-basis. The breakdown of the evaluation criteria is below.

Example of Class Structure (based on the first class)

See below for a template for how to build your class structure. (You can view the detailed activities in your “student handouts”)

# Step Mode Duration
1 Input: Intro to liability (legal) Plenary 15
2 Presenting the case-study Plenary 10
3 Activity 1: Brainstorming Teams 20
4 Activity 2: Preparing client’s arguments Teams 15
Break 15
4 Intro to Data Science and Machine Learning Plenary 20
5 Discovering additional information in the case-study Plenary 5
6 Activity 3: Analysis of additional information, preparing a presentation Teams 40
Break 15
7 Presentations and Discussions Plenary 30
8 Inputs:
Robustness (DS)
Fault (Ethics)
Plenary 10
10 Wrap-up, Q&A 5