Master MVA / Responsible Machine Learning

2025/2026

*** Syllabus

Machine Learning is a fantastic scientific field but it is also involved in a (geo)political arena. And it may seriously harm individuals or societies.

The course tackles the three main issues of the implementation of Machine Learning from an ethical perspective: privacy, fairness, and explainability.

We introduce the main concepts and offer an overview of how such ethical considerations may be taken into account from a technical perspective.

***Instructors:
Aurélien BELLET

Nicolas VAYATIS

***Contact email :
<nicolas/-dot-/vayatis/-at-/ens-paris-saclay.fr>

***Course schedule and location:

Mondays (except on December 18) afternoon (pm) at Université Paris-Cité / Campus Saint-Germain-des-Prés

Room Vieussens C (7th floor)

Date	Room	Session	Topics	Material
Monday November 17 2:00-4:30 / pm	Vieussens C	Lecture #1	Introducing responsible ML
Monday November 24 2:00-4:30 / pm	Vieussens C	Lecture #2	Machine Learning Fairness	Slides/ Exercise Set #1
Monday December 1 2:00-4:30 / pm	Vieussens C	Lecture #3	Explainability in Machine Learning	Slides/
Monday December 8 2:00-4:30 / pm	Vieussens C	Lecture #4	Privacy-preserving Machine Learning I	Slides/ Exercise Set #2
Thursday December 18 2:00-4:30 / pm	Vieussens D	Lecture #5	Privacy-preserving Machine Learning II
Monday January 5 2:00-4:30 / pm	Vieussens C	Exam