Impact of artificial intelligence on resilience: Contributions, challenges, and opportunities
Abstract
Traditional methods of creating psychological, social, and system resilience are barely adequate for the magnitude and complexity of contemporary threats. This paper studies recent advances in Artificial Intelligence (AI)-based resilience research, including major contributions and current challenges and opportunities. A systematic review was carried out under PRISMA guidelines until 2025 from different databases, including Scopus and Web of Science. After reviewing more than 760 records, we included 176 relevant studies from psychology, public health, climate adaptation, infrastructure and other disciplines. The results illustrate that AI’s development supports resilience by improved mental health and psychological well-being through AI-enabled interventions, enhanced healthcare and epidemic preparedness with predictive analytics, strengthened climate preparedness and disaster response from early warning systems to resource optimization, greater resiliency of supply chains, energy grids and other critical infrastructure through intelligent automation and decision support. However, a number of limitations were found, despite these improvements. Issues of privacy, bias, and reliability as well as the requirement for human supervision and ethical governance continue to pose barriers to the holistic development of AI powered resilience technologies. We argue in our analysis that AI can be utilized as tool for enhancing resilience at the macro level (policy makers) if used in proper, just manners. We end with recommendations on how to address the current shortcomings, including increased AI transparency, inclusivity and inter-disciplinary collaboration that might enable us to harness the power of AI as a game change for a more resilient and sustainable world.
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