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Marine Insurers Encouraged to Adopt AI to Mitigate Rising Industry Risks

Marine Insurers Encouraged to Adopt AI to Mitigate Rising Industry Risks

The International Union of Marine Insurance (IUMI) annual conference in Singapore has brought to light the critical role of artificial intelligence (AI) in transforming the marine insurance sector.
Industry leaders emphasized the necessity for insurers to adopt AI technologies to effectively manage escalating risks and maintain a competitive edge.

Rahul Khanna, chair of IUMI's Data & Digitalisation Forum, highlighted the rapid advancements in AI, noting that the past year has seen as much progress as the previous five years combined. He cautioned that failing to keep pace with these developments could leave the industry at a significant disadvantage.

AI is poised to revolutionize various aspects of marine insurance, including automating claims processing, enhancing fraud detection, improving underwriting accuracy, forecasting natural disaster impacts, and ensuring operational compliance. The integration of AI is expected to foster closer collaboration between brokers and underwriters, leading to increased efficiencies in pricing, claims handling, and risk assessment.

However, the adoption of AI also presents challenges. Khanna stressed the importance of training AI systems responsibly to avoid biases and ensure ethical practices. He urged the industry to embrace AI adoption while conscientiously developing and implementing these technologies.

For Australian boat owners and marine enthusiasts, the incorporation of AI into marine insurance signifies a shift towards more efficient and accurate services. This technological evolution promises streamlined claims processes, more personalized policy offerings, and enhanced risk management, ultimately benefiting policyholders through improved service delivery and potentially more competitive premiums.

Published:Saturday, 8th Nov 2025
Source: Paige Estritori

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Actuary:
A professional who analyzes the financial costs of risk and uncertainty using mathematics, statistics, and financial theory.