AI-Powered Risk Management in Insurance: Challenges and Best Practices

Abstract

The insurance industry is crucial in financial markets by providing risk mitigation and economic security. However, due to the complexity of its operations, insurance companies often engage in tax planning strategies that may blur the line between legitimate tax minimization and aggressive tax avoidance. This paper examines the ethical dilemmas, regulatory challenges, and risk management concerns related to tax avoidance in the insurance sector. It explores various tax avoidance mechanisms, including captive insurance companies, transfer pricing, and reinsurance arrangements, and assesses their ethical and regulatory implications. The paper further discusses global regulatory responses, corporate social responsibility (CSR), and best practices for risk management to ensure compliance and sustainable business practices. By analyzing real-world cases, legal frameworks, and econometric models measuring tax avoidance effects, this study aims to comprehensively understand tax avoidance in the insurance sector and offer recommendations for ethical tax practices.