MVA Course - Responsible Machine Learning

2023/2024

***Instructors

Doaa Abu ElyounesNicolas Vayatis
TA: Marie Garin

***Syllabus --> Download PDF (to be updated)

***Location:

Faculté de Médecine de l'université de Paris, site Cochin, 24 Rue du Faubourg Saint-Jacques, 75014 Paris, France (plan)
Room 1506 (TBC from RML#3 and after)

***Course schedule

Session Date Time Instructor Topic covered Material
RML#1 Wednesday October 4
08:30-10:30 Doaa/Nicolas Introduction
Artificial intelligence, between technical definitions and policy definitions
Slides-Legal
Slides-Tech
RML#2 Wednesday October 11 08:30-10:30 Nicolas Fairness and nondiscrimination - Part 1
Technical perspectives
Slides-Tech
RML#3 Wednesday October 18 08:30-10:30 Doaa Fairness and non-discrimination - Part 2
Legal perspectives
Slides-Legal
RML#4 Wednesday October 25 08:30-10:30 Doaa/Nicolas/Marie Fairness and nondiscrimination - Part 3
Practical examples
Slide-examples
Slides-history
RML#5 Wednesday November 8 08:30-10:30 Doaa Privacy and data protection - Part 1
Legal perspectives
Slides-Legal
RML#6 Wednesday November 15 08:30-10:30 Nicolas Privacy and data protection - Part 2
Technical perspectives
Slides-Tech
RML#7 Wednesday November 22 08:30-10:30 Doaa/Marie Privacy and data protection - Part 3
Practical examples
Slides-examples
RML#8 Wednesday December 6
08:30-10:30 Doaa Transparency and explainability – Part 1
Legal perspective
Slides-Legal
RML#9 Wednesday December 13
08:30-10:30 Nicolas Transparency and explainability – Part 2
Technical perspective
Slides-Tech
RML#10 Wednesday December 20 08:30-10:30 Doaa/Nicolas/Marie Generative AI +the Impact of AI on the Environment Slides-EUAI-LLM
Slides-environment
Final exam Wednesday January 10 08:30-10:30
Mockup trial

Evaluation

·       Critical analysis of reading – 30%: the course is designed around three main blocks, fairness, privacy and transparency. You will be required to choose one of the three topics and within that block to choose one legal and one technical reading and to write a critical analysis about the chosen piece. You can choose whether to write the legal and technical analysis separately or combined, in any case, you should try to link between the two to the extent possible. Your analysis should include a brief summary of the paper, and a critical reflection. If you are writing a separate analysis for the legal and technical papers, each one should be about 800 words, if it is a combined analysis, it should be about 1500 words.

·      2 technical assignments 30% - Exercise set on fairness / Exercise set on privacy

·       Final project, mock trial 40%, in a group, you will be asked to simulate a court trial, you will pick a case study involving automation/ algorithm deployed in a certain domain. The group will be split into 2, where one side will present the plaintiffs (the party bringing forward the lawsuit), and the other side will present the defendant (the party that is being sued). You will be asked to apply the concepts that we studied during the semester. The final projects will be presented during a special session that will be held on January 10.

·       Active and meaningful participation would grant you a bonus to the grade