Resilience Towards Compound Risks – Open Problems and Potentials for AI Techniques
Existing governance measures for ensuring resilience in society are struggling to deal with compound risks such as extreme climate change events during pandemics.
We argue that resilience governance systems can benefit from technological advancements in the field of Artificial Intelligence (AI). AI has the capacity to support resilience governance to be geared towards anticipatory action to increase resilience in society.
The ARGOS project focuses on AI-assisted Resilience Governance Systems and investigates the applicability of machine learning methods to support anticipatory planning for resilience, simulation-based AI techniques for policy appraisal in view of compound risks, and AI-based coordination mechanisms for resilience-aware decision making.
Compound Risks and Challenges for Governing Resilience in Cities
Artificial Intelligence (AI)-assisted Resilience Governance Systems: AI in Urban Planning
Resilience Towards Compound Risks – Open Problems and Potentials for AI Techniques