Workshop Program

September 30, 2022
All times are in Paris time (UTC + 2)
8:30 Welcome & Coffee
Session 1
9:00 - 9:30 Catuscia Palamedessi, Sami Zhioua Introducing Comète
9:30 - 10:00 Christoph Heitz Integrating philosophy and technology: What id Fair AI, and how can we produce fair AI systems?
10:00 - 10:30 Louis Jalouzot On the (Im)Possibility of Estimating Various Notions of Differential Privacy
10:30 - 11:00 Coffee Break
Session 2
11:00 - 11:30  Dinusha Vatsalan Fairness-aware Privacy-Preserving Record Linkage (Online)
11:30 - 12:00 Boris Ruf  Fairness Compass: Towards the Right Kind of Fairness in AI
12:00 - 12:30 Dali Kaafar DP ML and RL Optimisation (Online)
12:30 - 13:00 Nan Wu To be confirmed
13:00 - 14:30 Lunch Break
Session 3
14:30 - 15:00 Jean Michel Loubes Fairness in Econometry
15:00 - 15:30 Evgenii Chzhen Explaining the demographic parity constraint: Wasserstein barycenters and non-décomposable measures 
15:30 - 16:00 Michael Perrot FairGrad: Fairness Aware Gradient Descent
16:00 - 16:30 Coffee Break
Session 4
16:00 - 16:30 Jose Manuel Alvarez Counterfactual Situation Testing
16:30 - 17:00 Aurélien Bellet Learning Fair Scoring Functions for Bipartie Ranking
17:00 - 17:30 Debabrota Basu How Biased is Your Algorithm? Auditing and Explaining Unfairness in ML
17:30 - 18:00 Sebastian Gambs Fairwashing in Machine Learning
18:00 - 18:30 Open Discussion
19:00 Dinner