<p> </p><div>

Chapter 1

: Introduction</div><ul><li>Background and significance of the study</li><li>Research objectives and questions</li><li>Scope and limitations of the research</li><li>Overview of the thesis structure</li></ul><div>

Chapter 2

: Risks of Artificial Intelligence in Financial Services</div><ul><li>Analysis of potential risks and challenges associated with AI adoption in financial institutions</li><li>Examination of algorithmic biases, data security threats, and regulatory compliance issues</li><li>Operational and reputational risks in AI-driven financial services</li></ul><div>

Chapter 3

: Current Insurance Landscape for AI Risks in Financial Services</div><ul><li>Assessment of existing insurance products and policies addressing AI-related risks in financial services</li><li>Analysis of the adequacy and gaps in insurance coverage for AI adoption in financial institutions</li><li>Comparative study of insurance frameworks for managing AI risks in different financial service sectors</li></ul><div>

Chapter 4

: Leveraging Insurance to Manage AI Risks in Financial Services</div><ul><li>Recommendations for integrating AI risk assessment into insurance underwriting processes</li><li>Proposals for innovative insurance products tailored for AI-related risks in financial services</li><li>Ethical considerations and social implications of insuring AI adoption in financial institutions</li></ul><div>

Chapter 5

: Future Outlook for the Role of Insurance in Managing AI Risks</div><ul><li>Policy recommendations for regulatory frameworks supporting AI risk management through insurance</li><li>Potential collaborations between insurers, financial institutions, and regulatory authorities</li><li>Opportunities for leveraging insurance to address emerging AI-related risks and promote responsible AI adoption in financial services</li></ul> <br><p></p>