Hi! PARIS Reading groups “Fairness in AI”
The Hi! PARIS reading groups propose to study a topic using scientific articles on a theoretical and a practical point of view. The reading groups are opportunities of interaction between our corporate donors and our affiliates academic teams around selected topics of interest.
Each edition is planned for 2-3 sessions presenting one topic by the mean of 3-4 research papers. For each session: presentation of mathematical models and theoretical advances by a researcher + simulations with a Python notebook by an engineer.
Registration
Please register to the event using your professional email address to get your personal conference link. Please do not share your personalised link with others, it is unique to you. You will receive an email regarding your registration status.
Fairness in AI
Session 1
Tuesday, October 13, 2026 | 2:00-3:30 PM (Online)
- Introduction to Algorithmic Fairness
- Speaker: Gayane Taturyan, Télécom Paris
The session will provide a general introduction to the theory of algorithmic fairness, covering individual, group, and causal notions of fairness in classification, regression, and ranking/recommender systems. It will also explore key impossibility results and common mitigation techniques.
Reference paper: https://arxiv.org/pdf/2010.04053