Thesis Abstract

<p> This project aims to investigate the influence of artificial intelligence (AI) on insurance underwriting processes. The study will explore how AI technologies, such as machine learning and predictive analytics, are transforming traditional underwriting practices in the insurance industry. By analyzing the benefits, challenges, and implications of AI adoption in underwriting, this research seeks to provide valuable insights into the future of insurance risk assessment. <br></p>

Thesis Overview

<p> </p><div><div><div><div><div>The insurance industry is undergoing a significant transformation with the integration of artificial intelligence (AI) into various operational processes. One area where AI is making a profound impact is insurance underwriting, the process of evaluating and pricing risks. This project seeks to explore the implications of AI on insurance underwriting, focusing on how machine learning algorithms, predictive modeling, and big data analytics are reshaping traditional underwriting practices.</div><div>The introduction of AI in underwriting has raised important questions about the accuracy, fairness, and transparency of risk assessment. By delving into this topic, the research aims to shed light on the potential benefits and challenges associated with AI adoption in underwriting. Furthermore, the study will provide recommendations for insurance companies and regulators to navigate the evolving landscape of AI-driven underwriting. This research is crucial for understanding the future of insurance risk assessment and ensuring the responsible implementation of AI technologies in the industry.</div></div><div><div><div><div><div></div></div><div><div></div></div></div><div><div><div></div></div><div><div></div></div><div><div></div></div></div></div></div></div></div></div><div><div><br> </div></div><br><p></p>