Thesis Abstract

Abstract
Artificial Intelligence (AI) has become an integral part of modern society, with its applications ranging from autonomous vehicles to medical diagnostics. As AI systems continue to advance, questions surrounding the ethics and moral implications of their development and deployment have gained increasing importance. This thesis aims to explore the ethical considerations inherent in the field of AI, with a focus on understanding the moral dilemmas that arise from the creation and use of intelligent machines. The introductory chapter sets the stage for the research by providing background information on AI technology and its rapid evolution. The problem statement highlights the ethical challenges faced by developers, policymakers, and society at large in navigating the complex landscape of AI ethics. The objectives of the study are outlined to provide a clear direction for the research, while the limitations and scope of the study are also defined to frame the boundaries of the investigation. The significance of the study underscores the critical need for ethical discourse in AI development, and the structure of the thesis outlines the chapters that will follow, guiding the reader through the research journey. Chapter Two delves into a comprehensive literature review that examines existing research on AI ethics, exploring key themes such as bias in AI algorithms, accountability in AI decision-making, and the societal impact of AI technologies. By synthesizing diverse perspectives from academic and industry sources, this chapter provides a foundation for understanding the ethical landscape of AI development. Chapter Three presents the research methodology employed in this study, detailing the data collection methods, analysis techniques, and ethical considerations guiding the investigation. Through a mixed-methods approach that combines qualitative interviews with quantitative surveys, this chapter aims to gain insights into the ethical decision-making processes of AI developers and users. Chapter Four presents the findings of the study, analyzing the ethical dilemmas identified through the research process. By examining real-world case studies and hypothetical scenarios, this chapter sheds light on the complex moral implications of AI development and deployment. Discussions on topics such as privacy, transparency, and algorithmic bias offer nuanced perspectives on the ethical challenges faced by AI stakeholders. The concluding chapter synthesizes the key findings of the study, offering a summary of the ethical considerations explored in the research. By reflecting on the implications of the study for AI development and policy-making, this chapter aims to contribute to the ongoing dialogue on AI ethics and pave the way for future research in this critical area. In conclusion, this thesis provides a comprehensive examination of the ethical dimensions of AI development, offering insights into the moral implications of intelligent technologies. By engaging with the complex ethical challenges posed by AI systems, this research contributes to the broader discourse on technology ethics and underscores the importance of ethical considerations in shaping the future of artificial intelligence.

Thesis Overview