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Introduction

The development and deployment of autonomous weapons systems (AWS) have raised significant legal challenges, particularly in the realm of international humanitarian law (IHL). Artificial intelligence (AI) technology has the potential to revolutionize the future of warfare, but at the same time, it raises important ethical questions about the use of lethal force by machines without human intervention. This thesis aims to explore the legal challenges posed by AI in AWS through the lens of IHL, with a focus on ensuring compliance with principles of distinction, proportionality, and humanity in armed conflict.

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 Historical development of AWS
2.2 Ethical concerns in the use of AI in warfare
2.3 Legal framework of IHL in relation to AWS
2.4 International treaties and agreements on AWS
2.5 Case studies of AI in AWS deployment
2.6 Human rights implications of AI in AWS
2.7 Public perception and political discourse on AWS
2.8 Technological advancements in AI for AWS
2.9 Ethical guidelines and principles for the development of AWS
2.10 Challenges of enforcement and accountability in the use of AWS

Chapter Three: Research Methodology
3.1 Research design and approach
3.2 Data collection methods
3.3 Sampling techniques
3.4 Data analysis methods
3.5 Ethical considerations
3.6 Limitations of research methodology
3.7 Validation of research findings
3.8 Research contributions and implications

Chapter Four: Discussion of Findings
4.1 Compliance of AI in AWS with IHL principles
4.2 Legal implications of AI in AWS under international law
4.3 Accountability mechanisms for violations of IHL by AWS
4.4 Ethical considerations in the use of AI in AWS
4.5 Impact of AI in AWS on civilian populations
4.6 Role of international organizations in regulating AI in AWS
4.7 Future prospects and challenges in the development of AI in AWS
4.8 Recommendations for policymakers and stakeholders

Chapter Five: Conclusion and Summary
5.1 Recap of key findings
5.2 Contributions to existing literature
5.3 Implications for policy and practice
5.4 Recommendations for future research
5.5 Conclusion

Thesis Overview: Legal Challenges of AI in Autonomous Weapons Systems and International Humanitarian Law

The use of autonomous weapons systems (AWS) equipped with artificial intelligence (AI) technology has become a subject of increasing concern within the international community. The potential for AI-powered weapons to make autonomous decisions in the use of lethal force raises important legal and ethical questions, particularly in the context of international humanitarian law (IHL) governing armed conflict. This thesis seeks to explore the legal challenges posed by AI in AWS and its implications for adherence to principles of distinction, proportionality, and humanity in warfare.

Chapter One provides an introduction to the topic, setting the stage for the research by outlining the background, problem statement, objectives, limitations, scope, significance, structure, and definition of terms related to AI in AWS and IHL. Chapter Two offers a comprehensive literature review on the historical development of AWS, ethical concerns, legal frameworks, international treaties and agreements, case studies, human rights implications, public perception, technological advancements, ethical guidelines, and challenges of enforcement and accountability in the use of AI in AWS.

Chapter Three outlines the research methodology employed in this thesis, including the research design, data collection methods, sampling techniques, data analysis methods, ethical considerations, limitations, validation of findings, and research contributions. In Chapter Four, the discussion of findings focuses on compliance with IHL principles, legal implications, accountability mechanisms, ethical considerations, impact on civilian populations, regulatory role of international organizations, future prospects and challenges, and recommendations for policymakers and stakeholders. Finally, Chapter Five presents a conclusion and summary of the key findings, contributions to existing literature, implications for policy and practice, recommendations for future research, and a conclusion on legal challenges of AI in AWS and IHL.

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