Abstract
This paper proposes new ideas to be implemented in the design of intelligent decision support systems (IDSSs) for the management of industrial risks and safety. This class of informa¬tion systems links different departments of an enterprise in case of emergency and supports multiple threat management. It can also cover financial risk management and long-term resilience planning. The first idea consists of the active use of AI alignment princip¬les in the design of IDSSs, while taking into account the best AI technologies available to the deve¬loper and expected adversarial technologies. According to the AI-alignment paradigm, the AI evolution is modelled to identify the most suitable techniques to solve security, safety and risk management problems within a given time frame. This approach is aimed at enterprise resilience building with system design and can be combi¬ned with DevOps. The other idea consists of ensuring optimal emergency action planning by adjusting the IDSS features to cyber-human capabilities and the technical background of an emergency response. This type of alignment applies anticipatory networks to model ad hoc organizational structures created to handle crisis situations, including natural disa¬sters, technical accidents, as well as anthropogenic threats. The above ideas have been applied to the IDSS design for a large industrial plant.
Paper Type
Short Paper
DOI
10.62036/ISD.2022.5
Applications of AI Alignment and Anticipatory Networks to Designing Industrial Risk Management Decision Support Systems
This paper proposes new ideas to be implemented in the design of intelligent decision support systems (IDSSs) for the management of industrial risks and safety. This class of informa¬tion systems links different departments of an enterprise in case of emergency and supports multiple threat management. It can also cover financial risk management and long-term resilience planning. The first idea consists of the active use of AI alignment princip¬les in the design of IDSSs, while taking into account the best AI technologies available to the deve¬loper and expected adversarial technologies. According to the AI-alignment paradigm, the AI evolution is modelled to identify the most suitable techniques to solve security, safety and risk management problems within a given time frame. This approach is aimed at enterprise resilience building with system design and can be combi¬ned with DevOps. The other idea consists of ensuring optimal emergency action planning by adjusting the IDSS features to cyber-human capabilities and the technical background of an emergency response. This type of alignment applies anticipatory networks to model ad hoc organizational structures created to handle crisis situations, including natural disa¬sters, technical accidents, as well as anthropogenic threats. The above ideas have been applied to the IDSS design for a large industrial plant.
Recommended Citation
Skulimowski, A. & Łydek, P. (2022). Applications of AI Alignment and Anticipatory Networks to Designing Industrial Risk Management Decision Support Systems. In R. A. Buchmann, G. C. Silaghi, D. Bufnea, V. Niculescu, G. Czibula, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Artificial Intelligence for Information Systems Development and Operations (ISD2022 Proceedings). Cluj-Napoca, Romania: Risoprint. ISBN: 978-973-53-2917-4. https://doi.org/10.62036/ISD.2022.5