1. Introduction 1.1 Background and Context 1.2 Research Objectives 1.3 Scope and Limitations 1.4 Structure of the Paper 2. Regulatory Framework of AI 2.1 Definition of AI Regulations 2.2 Major Regulatory Bodies 2.3 Global Regulatory Trends 3. Hedge Fund Risk Management 3.1 Risk Management Basics 3.2 Traditional Risk Management Tools 3.3 Challenges in Risk Management 4. AI in Financial Services 4.1 Role of AI in Finance 4.2 Innovations through AI 4.3 Case Studies of AI Applications 5. Impact of AI Regulations 5.1 Compliance Requirements 5.2 Risk Mitigation and AI 5.3 Regulatory Compliance Costs 6. AI and Hedge Fund Strategies 6.1 AI-driven Risk Strategies 6.2 Adaptation to AI Regulations 6.3 Case Studies of Hedge Funds 7. Empirical Analysis 7.1 Data Collection Methods 7.2 Analysis Techniques 7.3 Key Findings 8. Conclusion and Recommendations 8.1 Summary of Findings 8.2 Policy Recommendations 8.3 Suggestions for Future Research
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