Project Abstract

Abstract
Artificial Intelligence (AI) has become an integral part of modern society, with its applications ranging from autonomous vehicles to personalized recommendations on social media platforms. As AI systems are increasingly involved in decision-making processes, ethical considerations surrounding their use and implications have gained significant attention. This research delves into the ethical dimensions of AI, specifically focusing on the implications of autonomous decision-making systems. The introduction sets the stage by providing an overview of the importance of AI in contemporary society and the increasing role it plays in decision-making processes. The background of the study explores the evolution of AI technology and its integration into various sectors. The problem statement highlights the ethical dilemmas and challenges associated with autonomous decision-making systems, emphasizing the need for a comprehensive understanding of their implications. The objective of the study is to examine the ethical considerations surrounding AI and autonomous decision-making systems, aiming to identify potential risks and benefits. The limitations of the study are also acknowledged, recognizing the complexity and evolving nature of AI technology. The scope of the study is defined to focus on the ethical implications of AI in decision-making contexts. The significance of the study lies in its contribution to the ongoing discourse on AI ethics, providing insights into the ethical considerations that arise from the use of autonomous decision-making systems. The structure of the research outlines the organization of the study, guiding the reader through the subsequent chapters. The literature review in Chapter Two presents a comprehensive analysis of existing research and scholarly work on AI ethics and autonomous decision-making systems. Ten key themes are identified and discussed, shedding light on the diverse perspectives and debates surrounding the ethical implications of AI technology. Chapter Three details the research methodology employed in this study, including the research design, data collection methods, and analytical approach. Eight components are outlined, providing transparency and rigor in the research process. In Chapter Four, the discussion of findings delves into the ethical considerations identified through the study, analyzing the implications of autonomous decision-making systems from various perspectives. Seven key findings are presented and discussed in detail, offering a nuanced understanding of the ethical challenges and opportunities posed by AI technology. Finally, Chapter Five presents the conclusion and summary of the research, synthesizing the key findings and implications discussed throughout the study. The conclusion reflects on the ethical dimensions of AI and autonomous decision-making systems, offering recommendations for future research and practice in this field. In conclusion, this research contributes to the growing body of literature on AI ethics by exploring the implications of autonomous decision-making systems. By addressing the ethical considerations surrounding AI technology, this study aims to inform policymakers, practitioners, and researchers on the complex ethical landscape of AI in decision-making contexts.

Project Overview