Resilient Societies
How can AI help people, communities and institutions anticipate, respond to and recover from disruption and uncertainty? AI is increasingly being deployed in contexts involving societal resilience, from emergency response and critical infrastructure to cyber security, misinformation and decision-making under uncertainty. However, resilience is not simply a technical property of systems. It depends upon people, communities, organisations, trust and the ability to adapt.
This challenge explores how Citizen-Centred AI can contribute to more resilient communities and societies while ensuring that AI remains trustworthy, accountable and responsive to human values.
Indicative potential partners
Cabinet Office
Defence Science and Technology Laboratory
Environment Agency
Northumbria Police
Trussell Trust
Illustrative research directions
- Community and societal resilience
- AI-supported crisis response and emergency management
- Misinformation and societal resilience
- Trust and decision-making under uncertainty
- AI for critical infrastructure and public services
- Human-AI collaboration in safety-critical environments
Indicative reading
A systematic review of individual, social, and societal resilience factors in response to societal challenges and crises
2024. Communications Psychology, 2(1), p.92. doi:10.1038/s44271-024-00138-w
AI for smart disaster resilience among communities
2024. In Intelligent systems modeling and simulation III: Artificial intelligent, machine learning, intelligent functions and cyber security (pp. 369-395). Cham: Springer Nature Switzerland. doi:10.1007/978-3-031-67317-7_22
If you are applying to join the CCAI programme, and have difficulty accessing any of the papers above, please contact us.