Browsing by Author "Saul Sseremba"

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    Artificial intelligence application in insurance: :
    (Insurance Training College, 2024-11-05) Akiim Senyonjo; Saul Sseremba
    This paper presents a framework-based systematic review of existing research on the application of artificial intelligence (AI) in insurance and lessons for the emerging insurance industry in Uganda. Through a systematic literature review, we identify key findings and their implications for insurers in Uganda. Our study findings through the ADO framework identify the Antecedents, decisions, and outcomes of AI Application in Insurance and highlights the transformative role of AI in risk management, customer service, and claims processing. While the TCM framework is adopted to provide an organized review of the theory, context and methods used in the articles under review. The review aggregates 9 unique antecedents derived from 37 relevant articles and classifies them into three broad categories. The review identifies the research gaps in the extant insurance literature and provides future research directions include investigating the long-term impacts of AI on customer behavior, addressing ethical considerations, and the impact of collaboration among insurers, regulators, and technology providers in the insurance sector.