Global governance of artificial intelligence and emerging technologies – Complete Phd and Masters Thesis

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Introduction

Artificial intelligence (AI) and emerging technologies have become increasingly prevalent and impactful in our society, shaping various aspects of our daily lives, from healthcare to transportation to communication. The rapid development and adoption of these technologies have raised numerous ethical, legal, and societal questions, prompting the need for global governance frameworks to ensure responsible and ethical deployment.

This thesis explores the global governance of artificial intelligence and emerging technologies, aiming to understand the current landscape, challenges, and opportunities for governing these technologies at the international level. It examines the roles of various stakeholders, including governments, industry, academia, and civil society, in shaping the governance framework.

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
2.1 Historical development of AI and emerging technologies
2.2 Ethical considerations in AI governance
2.3 Legal frameworks for regulating AI
2.4 International organizations and initiatives in AI governance
2.5 Industry perspectives on AI governance
2.6 Civil society engagement in AI governance
2.7 Challenges in global governance of AI
2.8 Opportunities for collaboration in AI governance
2.9 Comparative analysis of AI governance models
2.10 Future trends in AI governance

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Sampling techniques
3.4 Data analysis methods
3.5 Ethical considerations
3.6 Case study approach
3.7 Comparative analysis approach
3.8 Expert interviews

Chapter 4: Discussion of Findings
4.1 Overview of current governance frameworks
4.2 Stakeholder perspectives on AI governance
4.3 Case studies of successful AI governance models
4.4 Comparative analysis of international AI governance initiatives
4.5 Policy recommendations for enhancing AI governance
4.6 Challenges in implementing global AI governance
4.7 Opportunities for collaboration among stakeholders
4.8 Future directions in AI governance research

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Implications for policy and practice
5.3 Recommendations for future research
5.4 Conclusion

This thesis aims to contribute to the growing body of literature on global governance of artificial intelligence and emerging technologies, providing insights and recommendations for policymakers, industry stakeholders, and researchers to navigate the complex landscape of AI governance. By examining the challenges and opportunities in governing AI at the global level, this research seeks to foster responsible and ethical deployment of these technologies for the benefit of society.

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