Abstract
While several crises spread worldwide, researchers and engineers from several domains and environments are trying to provide better tools to improve or create new organizations and new roles for humans to be more resilient when facing unexpected, unexpectable or unforeseeable events. Resilience must be addressed as early as possible in the organization’s design, especially when one part of the organization relies on socio-technical systems. This is even more crucial when systems are built up on artificial intelligence. Many research studies have been conducted on resilience, like in system engineering, but also in industry. The objective of this paper is to propose mixing both approaches, aiming to establish a tool for calibrating resilience as soon as human-AI based systems cooperation is designed and evaluated.
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Pacaux-Lemoine, MP., Flemisch, F., Chaabane, S. (2024). Calibration and Resilience of Human-AI Systems Cooperation in Industry. In: Borangiu, T., Trentesaux, D., Leitão, P., Berrah, L., Jimenez, JF. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2023. Studies in Computational Intelligence, vol 1136. Springer, Cham. https://doi.org/10.1007/978-3-031-53445-4_24
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