Professor at INSEAD since 2001, co-founder and CIO of Tremau, hedge fund systematic strategies developer with more than $100 million capital deployed, consultant and advisor, keynote speaker at major industry and C-suite corporate events, working on AI/Machine Learning as well as business innovation and technology driven transformation for the past 25 years. Member of global organisations working on responsible technologies and digital regulations.
Four degrees from MIT. Written academic and business articles in leading journals, such as in Science Magazine, Machine Learning, Nature Digital Medicine, Harvard Business Review magazine, and many others.
Appeared in leading media such as the FT, Bloomberg, Les Échos, and many others.
Director of the INSEAD Executive Education program on “Transforming your Business with AI”.
When it comes to data sharing in the AI era, policymakers need to ensure that the rules of the game reflect the realities of the tech.
Increasingly, a selling point for AI-powered products is how well they embody specific values such as safety, dignity, fairness, and helpfulness.
Speed and efficiency used to be the priority. Now issues such as safety and privacy matter too.
Organizations should think carefully before integrating unexplainable, “black box” AI tools into their operations, and take steps to help determine whether these models are really worth the risk before moving forward.
AI’s learning capabilities can lead to innovative business opportunities, generate creative insights, and algorithms that are capable of learning from users’ or consumers’ behavior.
CEOs should ask A.I. review boards to identify A.I. risks; develop guidelines to prevent their companies from falling victim to them; and constantly monitor the growing risks as the algorithms evolve
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