Session Outline

In this presentation we suggest to talk about fairness and the difficulty of getting a rational definition on it. Based on the paper

Key Takeaways

  • AI and Ethics
  • Fairness definition and regulation context
  • Discrimination mitigation in AI models


Speaker Bio

Antoine LY – Chief Data Science Officer | SCOR

Antoine leads Data Science and Machine Learning Engineering centers of expertise as Chief Data Science Officer for SCOR – a top tier Reinsurance company. He takes up technical challenges and contributes to the great strategic transformation of insurance. Antoine also teaches in the Data Science program of the French Actuaries Institute and at ENSAE Paris the courses “Artificial Intelligence in Insurance”. He started his career as an R&D consultant for Milliman, world leader in actuarial consulting, for which he led the Paris Data Analytics team from 2018 to 2019. After 5 years of international consulting experience, he joined SCOR as Head of Data Science, L&H from September 2019 to June 2022. Antoine holds a PhD in applied mathematics on the application of machine learning to insurance, he also graduated from ENSAE Paris (France) as a Statistics and Economics Engineer. He holds a MSc in Computer Science “Data, Learning and Knowledge” from Sorbonne University and is a French Certified Actuary.

October 25 @ 16:35
16:35 — 17:05 (30′)

Day 1 | 25 Oct 2023 | MACHINE LEARNING + MLOPS

Antoine LY – Chief Data Science Officer | SCOR