Course // Responsible AI, Law, Ethics & Society

Instructions For The Final Project

Assignment summary

The final project consists of creating a 9th class (an additional 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 9th class, 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 their ideas.

In more details: In your final project, you will plan a “ninth 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 (~7 minutes) during the final class of this course.


Choosing a topic

Your proposed class’ topic should include both a specific domain (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. Ideally, your project should include:

  1. A lesson plan (1-3 pages) that contains:
    1. Briefly description of the following (similar to the final project proposal):
      1. The name of the class
      2. Which value or values (e.g., fairness, privacy, human-in-the-loop, accountability) and which domain (e.g., healthcare, labour market, smart cities, transportation) is this class about?
      3. Core legal issue(s)
      4. Core technical issue(s)
      5. Case-study excerpt
      6. Resources and references you have been using or inspired you
    2. A table with a breakdown of all the planned sections for the class duration (3 hours). Please see below an example adapted from our second class. Try to make sure that the sections are “mixed” such that they include plenary with short presentations as well as “hands on” activities in the breakout rooms / discussion. For the inputs/presentations, there is no need for much details here, only a title and a short explanation of what the session includes.

    3. With respect to the proposed presentations/inputs - no need to actually detail the exact content to be taught there. Only describe what topics the presentations will cover.
  2. Handout(s) for the activity(s). Please provide exact details, as if these tasks are presented to the students for them to complete. For example, if the task includes a legal case study, please write the case study and the specific questions.

  3. Notebook(s) accompanying the handout(s), according to your design of the lesson. As in our course, not every activity requires a notebook, but your class must have at least one.

ALSO, you should prepare a 7 minutes slide deck to present your project at the 8th class. In this project presentation, try to pitch your new lesson to the staff.


Please submit your project by May 10th, 2022, 9 am EDT / 3 pm CET / 4 pm IST, using Gradescope. The project shall be in the form of multiple PDF files, accompanied by a Jupyter Notebook.


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.

Criteria for grading both the presentation and the submitted output are:

Example of Class Structure (adapted from the second class)

See below for a template for how to build your class structure.

</tr> </tr>
# Step Mode Duration
1 Input: AI & legal liability Plenary 15
2 Presenting the case-study Plenary 10
3 Activity 1: Delving into the Case-Study Teams 35
4 Input: Intro to Data Science and Machine Learning Plenary 20
Break 15
5 Activity 2: Discovering new information Teams 40
6 Presentations and Discussions Plenary 30
7 Three Final Inputs Plenary 15