Thesis Abstract

Abstract
This thesis delves into the intricate realm of artificial intelligence (AI) ethics, focusing on the challenges and implications associated with the rapidly advancing field of AI technology. In recent years, AI has emerged as a transformative force with the potential to revolutionize various aspects of society, ranging from healthcare and transportation to finance and education. As AI systems become increasingly sophisticated and autonomous, ethical concerns regarding their design, deployment, and impact have garnered significant attention from scholars, policymakers, and the general public. This research aims to provide a comprehensive analysis of the ethical dimensions of AI, shedding light on key challenges and exploring the far-reaching implications for individuals, organizations, and society as a whole. The introductory chapter sets the stage for the study by outlining the background of the research, presenting the problem statement, articulating the objectives of the study, delineating the limitations and scope of the research, highlighting the significance of the study, and providing a roadmap of the thesis structure. By establishing a solid foundation, this chapter offers a coherent framework for understanding the complexities of AI ethics and the need for critical examination. Chapter Two undertakes a thorough literature review, synthesizing existing scholarship on AI ethics to identify key themes, trends, and debates in the field. Drawing on a diverse range of academic sources, this chapter examines ten critical issues related to AI ethics, including algorithmic bias, data privacy, accountability, transparency, and the ethical implications of AI in decision-making processes. By engaging with the existing literature, this chapter contributes to a deeper understanding of the ethical challenges posed by AI technologies. Chapter Three outlines the research methodology employed in this study, detailing the research design, data collection methods, sampling techniques, and data analysis procedures. By elucidating the theoretical framework underpinning the research, this chapter establishes a robust methodological approach for investigating the ethical dimensions of AI. Additionally, this chapter discusses ethical considerations in research and ensures the rigor and validity of the study. In Chapter Four, the findings of the research are presented and discussed in detail, offering critical insights into the ethical challenges and implications of AI. By analyzing empirical data and case studies, this chapter unravels the ethical dilemmas faced by AI developers, policymakers, and users, illuminating the complex interplay between technology, ethics, and society. Through a nuanced examination of the findings, this chapter contributes to the ongoing discourse on AI ethics. Finally, Chapter Five concludes the thesis by summarizing the key findings, reflecting on the implications of the research, and offering recommendations for future study and practice. By synthesizing the main arguments and insights presented in the preceding chapters, this concluding chapter provides a holistic overview of the ethical considerations surrounding AI and underscores the importance of fostering a responsible and human-centered approach to AI development and deployment. In conclusion, this thesis contributes to the growing body of literature on AI ethics by offering a comprehensive analysis of the challenges and implications of artificial intelligence. By interrogating the ethical dimensions of AI technology, this research seeks to inform ethical decision-making and policy development in an increasingly AI-driven world.

Thesis Overview