Thesis Abstract

**Thesis Abstract
** Artificial Intelligence (AI) has become an integral part of modern society, with its applications ranging from personalized recommendations to autonomous decision-making systems. As AI technologies continue to advance, questions surrounding the ethics of AI and its implications for human decision-making have gained significant attention. This thesis aims to explore the ethical considerations of AI and its impact on human decision-making processes. The study begins with an examination of the background of AI, highlighting its evolution and growing influence in various sectors. The problem statement delves into the ethical dilemmas posed by AI systems, such as bias, transparency, accountability, and the implications for human autonomy and decision-making. The objectives of the study are to critically analyze the ethical issues surrounding AI, understand how AI influences human decision-making, and propose recommendations for ethical AI development. The limitations of the study are acknowledged, including the complex and evolving nature of AI technologies, as well as the challenges in predicting the long-term societal impacts of AI on decision-making processes. The scope of the study focuses on ethical considerations in AI design and implementation, particularly in decision-making contexts. The significance of the study lies in its contribution to the ongoing discourse on AI ethics and its implications for human decision-making. By critically evaluating the ethical challenges posed by AI technologies, this thesis aims to provide valuable insights for policymakers, industry practitioners, and researchers in navigating the ethical complexities of AI development. The structure of the thesis is organized into five chapters. Chapter One provides an introduction to the research topic, presents the background of the study, outlines the problem statement, objectives, limitations, scope, significance, and defines key terms. Chapter Two offers a comprehensive literature review of ten key studies on AI ethics and human decision-making. Chapter Three details the research methodology, including data collection methods, sampling techniques, research design, data analysis procedures, and ethical considerations. It also discusses the theoretical frameworks guiding the study and justifies the chosen methodology. Chapter Four presents a detailed discussion of the findings, analyzing the ethical implications of AI on human decision-making processes. The chapter explores key themes such as bias, fairness, transparency, accountability, and human-AI collaboration, drawing on empirical evidence and theoretical perspectives. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications for ethical AI development and human decision-making, and offering recommendations for future research and practice. The thesis contributes to the growing body of literature on AI ethics, providing insights into the ethical challenges of AI technologies and their impact on human decision-making processes. Overall, this thesis aims to foster a deeper understanding of the ethical implications of AI for human decision-making and to contribute to the development of responsible AI systems that uphold ethical principles and promote human well-being.

Thesis Overview