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Introduction

Artificial Intelligence (AI) technology has rapidly advanced in recent years, revolutionizing various industries and aspects of daily life. While AI has brought about numerous benefits and opportunities, it also poses significant ethical, legal, and social challenges. One of the key issues surrounding AI is the need for regulation to ensure technical accountability while fostering innovation. This thesis explores various AI regulation proposals and examines how they can strike a balance between accountability and innovation.

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

Chapter Two: Literature Review
2.1 Overview of AI Regulation
2.2 Current Regulatory Frameworks for AI
2.3 Ethical Considerations in AI Regulation
2.4 Challenges in Regulating AI
2.5 AI Regulation and Innovation
2.6 Global Perspectives on AI Regulation
2.7 Industry Responses to AI Regulation
2.8 Role of Governments in Regulating AI
2.9 Public Perception of AI Regulation
2.10 Emerging Trends in AI Regulation

Chapter Three: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Techniques
3.5 Ethical Considerations
3.6 Research Limitations
3.7 Research Validity
3.8 Research Reliability

Chapter Four: Discussion of Findings
4.1 Overview of Findings
4.2 Comparison of AI Regulation Proposals
4.3 Implications for Technical Accountability
4.4 Implications for Innovation
4.5 Stakeholder Perspectives on AI Regulation
4.6 Recommendations for Future AI Regulation
4.7 Case Studies on Effective AI Regulation
4.8 Ethical Considerations in AI Regulation

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Contributions to the Field
5.3 Implications for Policy and Practice
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview

Artificial Intelligence (AI) has become a pervasive technology in various aspects of our lives, from autonomous vehicles to virtual assistants. Despite its benefits, AI also raises significant ethical, legal, and social concerns that need to be addressed through regulation. This thesis focuses on exploring AI regulation proposals that aim to ensure technical accountability while fostering innovation.

The introduction section provides an overview of the research topic, background information, problem statement, objectives, limitations, scope, significance, and structure of the thesis. The literature review examines the current state of AI regulation, ethical considerations, challenges, and trends in global perspectives.

The research methodology section details the design, data collection, analysis techniques, sampling methods, ethical considerations, limitations, validity, and reliability of the study. The discussion of findings chapter presents an analysis of AI regulation proposals, implications for technical accountability and innovation, stakeholder perspectives, and recommendations for future regulation.

The conclusion and summary chapter summarizes the findings, contributions to the field, policy and practice implications, recommendations for future research, and concludes the thesis. This research aims to contribute to the ongoing discourse on AI regulation and provide insights for policymakers, industry stakeholders, and researchers.

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