The adoption of AI in the Egyptian insurance sector; potential opportunities and challenges: A Systematic Review of published articles:

نوع المستند : المقالة الأصلية

المؤلف

قسم التأمين والعلوم الأكتوارية، كلية التجارة جامعة القاهرة

المستخلص

The insurance sector worldwide has seen a significant surge in the demand for data processing. Constructing accurate artificial intelligence models is crucial for analysing and predicting this data for the future. this study aims to review the research on AI tools by restricting it to the insurance sector. A systematic literature review has been conducted with a sample of publications in the Insurance context. Within the scope of the selected studies, the advantages, and disadvantages of AI in the insurance sector for insurers and customers, the types of AI techniques used, and the methods were analysed. According to the research results, the advantages of AI adoption include efficient claims processing, AI enables insurers to evaluate and price insurance risks more accurately, fraud detection, and customer experience enhancement. However, the disadvantages may include poor-quality or biased data, leading to inaccurate or misleading outputs that will affect risk assessment, claims processing, and customer satisfaction. In Egypt, addressing these challenges and suggesting solutions that may help tackle those challenges is essential for successful AI adoption in the insurance sector.

الكلمات الرئيسية

مجلة البحوث المالية والتجارية
المجلد 26، العدد 4 - الرقم المسلسل للعدد 1
الجزء الثاني ... أبحاث متخصصة في الاقتصاد والاحصاءوالعلوم السياسية
أكتوبر 2025
الصفحة 923-943

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