Joshi, Sameer (2025) Technical analysis: AI transformation in property and casualty insurance. World Journal of Advanced Research and Reviews, 26 (2). pp. 833-841. ISSN 2581-9615
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Abstract
This technical article explores how artificial intelligence is transforming property and casualty insurance across multiple operational dimensions. The integration of advanced machine learning techniques is creating a paradigm shift from reactive, manual processes to proactive, data-driven operations throughout the insurance value chain. From predictive underwriting algorithms and catastrophe modeling to commercial risk assessment and dynamic pricing models, AI technologies are enabling unprecedented gains in efficiency, accuracy, and customer experience. The implementation of recommendation engines, conversational interfaces, and human-AI collaboration frameworks is further revolutionizing customer interactions while creating more personalized insurance experiences. Additionally, the development of comprehensive bias detection systems, regulatory compliance architectures, and ethical safeguards ensures that these technological innovations maintain fairness and transparency in an increasingly complex regulatory landscape.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjarr.2025.26.2.1597 |
Uncontrolled Keywords: | Algorithms; Catastrophe Modeling; Ethical Safeguards; Machine Learning; Underwriting Automation |
Depositing User: | Editor WJARR |
Date Deposited: | 27 Jul 2025 16:43 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/2675 |