Discover the New “Cahier” on AI and Safety Management

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Artificial intelligence based on deep learning, along with big data analysis, has in recent years been the subject of rapid scientific and technological advances. These technologies are increasingly being integrated into various work environments with the aim of enhancing performance and productivity. This dimension of the digital transformation of businesses and regulatory authorities presents both significant opportunities and potential risks for industrial safety management practices.

What are the main challenges posed by these new technologies in terms of skills management, worker well-being, privacy protection, and the pursuit of performance that aligns with societal expectations? 

What changes are required in how we conceptualize the safety of high-stakes activities, how we demonstrate and verify the absence of unacceptable risks, and anticipate potential deviations?

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AI and Safety Management

An Overview of Key Challenges

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This document is the first outcome of the strategic analysis group led by Foncsi on safety practices and the digital transition.

It was written by Eric Marsden, Program Manager at Foncsi, and Véronique Steyer, Professor in the Department of Innovation Management and Entrepreneurship at École Polytechnique — the co-leaders of this strategic analysis.