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Introduction:

Artificial intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, with implications that span across various industries and sectors. While AI has the potential to revolutionize the way we live and work, there are growing concerns about its impact on global inequality. This thesis will explore the ways in which AI technologies contribute to and exacerbate existing disparities among countries, organizations, and individuals.

Chapter One: 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 Two: Literature Review
2.1 Overview of Artificial Intelligence
2.2 The Current State of Global Inequality
2.3 The Impact of AI on Labor Markets
2.4 AI and Education Disparities
2.5 AI and Healthcare Disparities
2.6 AI and Financial Inequalities
2.7 AI and Access to Information
2.8 AI and Environmental Inequalities
2.9 Ethical Considerations in AI Development
2.10 Policy Implications for Addressing AI-Induced Inequality

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

Chapter Four: Findings and Discussion
4.1 Overview of Findings
4.2 The Role of AI in Perpetuating Inequality
4.3 Case Studies on AI-Induced Inequalities
4.4 Identifying Potential Solutions
4.5 Implications for Future Research
4.6 Policy Recommendations

Chapter Five: Conclusion
5.1 Summary of Findings
5.2 Theoretical and Practical Implications
5.3 Contributions to the Field
5.4 Recommendations for Future Action
5.5 Conclusion

Thesis Overview:

The impact of artificial intelligence on global inequality is a pressing issue that requires in-depth analysis and understanding. This thesis aims to investigate how AI technologies contribute to and exacerbate existing disparities among countries, organizations, and individuals. The literature review will provide an overview of AI technologies and their current state of development, as well as the various ways in which AI affects labor markets, education, healthcare, finance, access to information, and the environment. The research methodology section will outline the research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. The findings and discussion chapter will present the results of the study, including case studies on AI-induced inequalities, potential solutions, implications for future research, and policy recommendations. The conclusion will summarize the findings, discuss the theoretical and practical implications, highlight the contributions to the field, propose recommendations for future action, and offer a conclusion to the thesis.

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