Artificial intelligence is rapidly reshaping how systems adapt, recover, and thrive under uncertainty. From managing crises to enabling sustainable innovation, AI can be a powerful driver of resilience,but it can also become a source of new fragilities.
This workshop explores how AI technologies can both strengthen and challenge resilience across technical, social, and environmental domains. We invite all submission including but not limited to strategies, tools, and frameworks that utilize artificial intelligence to improve resiliency, as well as ways to enhance the resiliency of AI itself.
Topics of Interest
- AI-Enhanced System Resilience: Applications in critical infrastructure, disaster response, and emergency management
- Robust AI Systems: Building resilient algorithms and mitigating algorithmic fragility and bias
- Infrastructure Resilience: Protecting AI infrastructure and ensuring cybersecurity in critical systems
- Governance & Ethics: Frameworks for responsible AI deployment in fragile contexts
- Human-AI Collaboration: Designing collaborative systems that maintain human oversight
- Environmental Applications: AI for climate adaptation, sustainable development, and ecosystem protection
Workshop Chairs
- Dr. Siavash Ghiasvand
- Dr. Iryna Okhrin
Important Dates
- Submission deadline (no extension) 07.05.2026
- Author notification 01.06.2026
- Camera-ready 14.06.2026
Submission Information
- All submission should be in English
- Papers should be submitted as a single PDF compiled from LaTeX using the LNI template: zip archive , Overleaf
- Proceedings will be published in GI-Edition: Lecture Notes in Informatics
- This workshop has a double-blind review process.
- VERY IMPORTANT: The LaTeX source must be also submitted at the time of submission
- The Latex source must be uploaded as a ZIP file containing all relevant files and should be compilable.