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AI and climate resilience governance
Sara Mehryar1, Vahid Yazdanpanah2, Jeffrey Tong3
1Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science, London, UK.
Iscience
|May 24, 2024
Summary
Artificial intelligence (AI) can aid climate adaptation but faces challenges. Current AI focuses on risk assessment, needing development for evaluating resilience, vulnerability, and implementation, which are complex and context-specific.
Area of Science:
- Environmental Science
- Computer Science
- Public Policy
Background:
- Artificial intelligence (AI) presents potential solutions for climate change adaptation.
- However, AI applications in this domain face significant limitations and challenges.
- A risk governance framework is essential for understanding AI's role.
Purpose of the Study:
- To analyze the application and limitations of AI in climate adaptation decision-making.
- To examine AI's role across risk assessment, policy analysis, and implementation phases.
- To identify key challenges and areas for future AI development in climate adaptation.
Main Methods:
- A comprehensive literature review was conducted.
- Expert insights were gathered and synthesized.
- A risk governance perspective guided the analysis.
Main Results:
- AI is predominantly applied to climate risk assessments, focusing on hazard and exposure.
- There is a notable lack of AI tools for evaluating resilience, vulnerability, prioritization, and implementation.
- Subjective, qualitative, and context-specific elements pose challenges for current AI approaches.
Conclusions:
- Further development is needed to address AI's limitations in simulating long-term changes and evolving human behaviors.
- Enhancing data quality, computational resources, and AI interpretability are crucial.
- Innovative AI approaches are required for comprehensive climate adaptation strategies.
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