Artificial Intelligence for Natural Hazards Risk Analysis: Potential, Challenges, and Research Needs. Issue 6 (19th May 2020)

• Record Type: Journal Article
• Authors: Guikema, Seth
• Is Part Of: Risk analysis. Volume 40:Issue 6(2020)
• Page Start: 1117
• Page End: 1123
• Publication Date: 2020-05-19
• Subjects: artificial intelligence -- natural hazards -- predictive modeling; Technology -- Risk assessment -- Periodicals; 658.403
• DOI: 10.1111/risa.13476
• Languages: English
• ISSNs: 0272-4332

Abstract

Abstract: Artificial intelligence (AI) methods have seen increasingly widespread use in everything from consumer products and driverless cars to fraud detection and weather forecasting. The use of AI has transformed many of these application domains. There are ongoing efforts at leveraging AI for disaster risk analysis. This article takes a critical look at the use of AI for disaster risk analysis. What is the potential? How is the use of AI in this field different from its use in nondisaster fields? What challenges need to be overcome for this potential to be realized? And, what are the potential pitfalls of an AI‐based approach for disaster risk analysis that we as a society must be cautious of?