The Art & Science of Risk
News
Fairness of predictive models: an application to insurance markets.
This project, led by Arthur Charpentier, Professor of actuarial science at Quebec University in Montreal, addresses biases within the automatic artificial intelligence algorithms utilized to determine optimal pricing in individual policies. Its aim is to mitigate or eliminate such biases, which could lead to inequities or discriminatory practices based on factors such as gender, race, religion, or origin in the coverage provided by insurers or reinsurers to policyholders.

The Foundation is part of SCOR's long-term commitment to risk research and the dissemination of risk-related knowledge.
Funded Projects
As its name indicates, the objective of the SCOR Corporate Foundation for Science is to support scientific research. The Foundation may lend its support to various kinds of risk and (re)insurance-related projects, including university chairs, research projects, conferences and publications.
Read more
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Workshop in Paris (May 15th, 2025): Confidence and Fairness: Scientific Foundations in AI and Risk
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Climate Risk & Uncertainty Collective Intelligence Laboratory (CRUCIAL)
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Human auto-antibodies neutralizing type I interferons: strong, common, and universal determinants of life-threatening viral infections
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Fairness of predictive models: an application to insurance markets

Apply for funding
Projects seeking the support of the SCOR Corporate Foundation may be addressed to:
SCOR Corporate Foundation
5, avenue Kléber
75795 Paris Cedex 16
fondation@scor.com