AI & Ethics, challenge of treating Fairness

In this presentation we suggest to talk about fairness and the difficulty of getting a rational definition on it. Based on the paper https://arxiv.org/abs/2307.13616

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

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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”.