Emerging legal issues of artificial intelligence in finance – Complete Phd and Masters Thesis

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Introduction

As artificial intelligence (AI) continues to revolutionize the financial industry, it brings along a multitude of legal implications and challenges that need to be addressed. The use of AI in finance has significantly transformed the way financial institutions operate, make decisions, and interact with clients. However, these advancements have also raised concerns about data privacy, ethics, transparency, accountability, and potential biases. As a result, it is crucial to explore and understand the emerging legal issues surrounding the use of AI in finance.

This thesis aims to provide a comprehensive analysis of the legal challenges posed by the growing use of artificial intelligence in the financial sector. The research will focus on identifying key legal issues, analyzing their implications, and proposing recommendations for addressing these challenges. By shedding light on these issues, this study seeks to contribute to the ongoing debate on AI regulation in finance and provide valuable insights for policymakers, regulators, industry participants, and researchers.

Table of Contents

Chapter 1: Introduction
1.1 Introduction
1.2 Background of the Study
1.3 Problem Statement
1.4 Objective of the Study
1.5 Limitation of the Study
1.6 Scope of the Study
1.7 Significance of the Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Artificial Intelligence in Finance
2.2 Legal Framework for AI in Finance
2.3 Data Privacy and Security Issues
2.4 Transparency and Accountability Challenges
2.5 Ethical Considerations
2.6 Bias and Discrimination
2.7 Regulatory Compliance
2.8 Liability and Legal Responsibility
2.9 Intellectual Property Rights
2.10 International Perspectives on AI Regulation

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis
3.5 Research Ethics
3.6 Validity and Reliability
3.7 Limitations of the Research
3.8 Proposed Timeline

Chapter 4: Discussion of Findings
4.1 Overview of Key Legal Issues
4.2 Analysis of Implications
4.3 Recommendations for Addressing Challenges
4.4 Comparative Analysis of Regulatory Approaches
4.5 Case Studies
4.6 Industry Perspectives
4.7 Future Research Directions

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Conclusion
5.3 Implications for Policy and Practice
5.4 Recommendations for Future Research

Overall, this thesis will provide a comprehensive overview of the emerging legal issues surrounding artificial intelligence in finance, offering valuable insights for stakeholders in the financial industry and policymakers tasked with regulating AI technologies.

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