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Introduction

As technology continues to advance, the development and implementation of artificial intelligence (AI) in autonomous vehicles have become a significant area of interest and concern. The integration of AI into autonomous vehicles raises various legal challenges, particularly in terms of liability. This thesis aims to explore the legal challenges of AI in autonomous vehicles and how liability issues are being addressed in this emerging field.

Background of study

The use of AI in autonomous vehicles has the potential to revolutionize the transportation industry by improving safety, efficiency, and convenience. However, the implementation of AI in autonomous vehicles also raises complex legal issues, including questions about liability in the event of accidents or malfunctions.

Problem Statement

There is currently a lack of clear legal frameworks and guidelines governing the use of AI in autonomous vehicles, particularly when it comes to determining liability in the event of accidents or other incidents. This lack of clarity presents challenges for policymakers, manufacturers, and other stakeholders involved in the development and deployment of autonomous vehicles.

Objective of study

The main objective of this study is to examine the legal challenges of AI in autonomous vehicles and explore how liability issues are being addressed in this rapidly evolving field. Specifically, this study aims to identify key legal issues, analyze current approaches to addressing liability in autonomous vehicles, and propose recommendations for policymakers and stakeholders.

Limitation of study

This study will focus primarily on the legal challenges of AI in autonomous vehicles and liability issues. Other related topics, such as ethical considerations or the impact of autonomous vehicles on society, will not be extensively explored in this thesis.

Scope of study

This study will primarily focus on the legal challenges of AI in autonomous vehicles and liability issues in the context of the transportation industry. Case studies and examples from various jurisdictions will be used to illustrate the different approaches to addressing liability in autonomous vehicles.

Significance of study

This study is significant as it will contribute to the existing literature on the legal challenges of AI in autonomous vehicles and provide insights into how liability issues are being addressed in this rapidly evolving field. The findings of this study may inform policymakers, manufacturers, and other stakeholders involved in the development and deployment of autonomous vehicles.

Structure of the Thesis

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 AI in autonomous vehicles
– Legal frameworks governing autonomous vehicles
– Liability issues in autonomous vehicles
– Case studies on AI in autonomous vehicles
– Ethical considerations in autonomous vehicles

Chapter 3: Research Methodology
– Research design
– Data collection methods
– Data analysis techniques
– Sampling techniques
– Ethical considerations
– Limitations of the study

Chapter 4: Discussion of Findings
– Legal challenges of AI in autonomous vehicles
– Liability issues in autonomous vehicles
– Comparative analysis of approaches to addressing liability
– Recommendations for policymakers and stakeholders

Chapter 5: Conclusion and Summary
– Summary of key findings
– Implications for policy and practice
– Recommendations for future research
– Conclusion

Thesis Overview on Legal challenges of AI in autonomous vehicles and liability

The integration of artificial intelligence (AI) into autonomous vehicles presents a range of legal challenges, particularly in terms of determining liability in the event of accidents or malfunctions. This thesis aims to explore these legal challenges and how liability issues are being addressed in the context of autonomous vehicles. Chapter 1 provides an introduction to the study, including background information, the problem statement, objectives, scope, and significance of the study. Chapter 2 reviews the existing literature on AI in autonomous vehicles, legal frameworks governing autonomous vehicles, liability issues, and ethical considerations. Chapter 3 outlines the research methodology, including research design, data collection and analysis techniques, sampling methods, and ethical considerations. Chapter 4 discusses the findings of the study, including the legal challenges of AI in autonomous vehicles, liability issues, comparative analysis of approaches to addressing liability, and recommendations for policymakers and stakeholders. Chapter 5 presents the conclusion and summary of the study, including implications for policy and practice, recommendations for future research, and a conclusion on the legal challenges of AI in autonomous vehicles and liability.

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