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Introduction

The advancement of artificial intelligence (AI) technology has led to a rapid transformation in various sectors, including healthcare, finance, transportation, and education. As AI continues to evolve and become more integrated into society, questions about governance, ethics, and regulation are becoming increasingly important. The future of global artificial intelligence governance is a complex and multi-faceted issue that requires careful consideration and collaboration among various stakeholders, including governments, industry leaders, academics, and civil society organizations.

This thesis aims to explore the future of global artificial intelligence governance and provide insights into how this technology can be effectively regulated to ensure its responsible and ethical use. By examining existing literature, conducting empirical research, and engaging with key stakeholders, this study seeks to contribute to the growing body of knowledge on AI governance and help inform policy decisions in this rapidly evolving field.

Table of Contents

Chapter 1: Introduction
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 2: Literature Review
– Overview of artificial intelligence governance
– Evolution of AI technology
– Current regulatory frameworks for AI
– Ethical considerations in AI governance
– AI and human rights
– Role of different stakeholders in AI governance
– Global perspectives on AI regulation
– Case studies of AI governance practices
– Challenges in AI governance
– Future trends in AI regulation

Chapter 3: Research Methodology
– Research design
– Data collection methods
– Sampling techniques
– Data analysis procedures
– Ethical considerations
– Limitations of the study
– Validity and reliability
– Research timeline

Chapter 4: Discussion of Findings
– Analysis of empirical data
– Comparison with existing literature
– Implications for AI governance
– Recommendations for policymakers
– Future research directions

Chapter 5: Conclusion
– Summary of findings
– Contributions to the field
– Policy implications
– Limitations of the study
– Suggestions for future research
– Conclusion

Thesis Overview

The future of global artificial intelligence governance is a critical issue that requires careful consideration and collaboration among various stakeholders. This thesis aims to explore the evolving landscape of AI governance and provide insights into how this technology can be effectively regulated to ensure its responsible and ethical use. By conducting a comprehensive literature review, empirical research, and engaging with key stakeholders, this study seeks to contribute to the growing body of knowledge on AI governance and help inform policy decisions in this rapidly evolving field.

Chapter 1 introduces the topic, provides background information, defines the problem statement, objectives, limitations, scope, and significance of the study. Chapter 2 reviews existing literature on AI governance, including regulatory frameworks, ethical considerations, and global perspectives. Chapter 3 outlines the research methodology, including research design, data collection methods, sampling techniques, and data analysis procedures. Chapter 4 discusses the findings of the study, analyzes empirical data, and provides recommendations for policymakers. Chapter 5 concludes the thesis, summarizes key findings, and suggests future research directions.

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