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

Roberto Castellini – Head of Data Science – L&H | SCOR

Roberto obtained his PhD in Mathematics at the University of Lille in France. Earlier, he studied Mathematics at Alma Mater Studiorum – Università di Bologna in Italy with a scholarship of Collegio Superiore, its School of Excellence. He completed a Master in Mathematics at the University of Paris 7 during an international exchange. He started his career in data with a Data Scientist position at the start-up Partnering Robotics. He then integrated Shift Technology, the leader in fraud-detection technology in Insurance, as a Machine Learning Researcher. After 3 years of experience, he joins SCOR as a Core Data Scientist. He currently has the position of Head of Data Science L&H. Today, he continues to bring innovation to the insurance world by applying cutting edge AI techniques. Roberto also teaches at ENSAE Paris the courses “Machine Learning with Python”.

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

Day 1 | 25 Oct 2023 | MACHINE LEARNING + MLOPS

Roberto Castellini – Head of Data Science – L&H | SCOR