Thesis Abstract

Abstract
Artificial Intelligence (AI) technology has rapidly advanced in recent years, leading to profound impacts on various aspects of society. This thesis delves into the ethical considerations surrounding the development and deployment of AI systems, aiming to critically analyze the moral implications of AI technology. The study investigates the ethical frameworks that underpin AI design and implementation, exploring how ethical principles are integrated into AI systems and the potential consequences of ethical lapses. Through a comprehensive review of literature on AI ethics, this research synthesizes diverse perspectives to provide a nuanced understanding of the ethical challenges posed by AI technology. Chapter One sets the stage for the study, beginning with an Introduction that outlines the significance of the research topic. The Background of Study provides context on the evolution of AI technology and its increasing prevalence in various domains. The Problem Statement identifies key ethical dilemmas arising from the use of AI systems, highlighting the need for ethical scrutiny in AI development. The Objectives of Study articulate the research goals, while the Limitations of Study and Scope of Study delineate the boundaries and focus areas of the research. The Significance of Study underscores the importance of addressing ethical concerns in AI technology, emphasizing the potential impact on society. The Structure of the Thesis outlines the organization of the research, guiding the reader through the subsequent chapters. Finally, the Definition of Terms clarifies key concepts and terminologies used in the thesis. Chapter Two presents a comprehensive Literature Review that synthesizes existing knowledge on AI ethics. Ten key themes are identified and analyzed, covering topics such as the ethical implications of AI algorithms, biases in AI systems, accountability in AI decision-making, and the societal impacts of AI technology. This chapter critically evaluates diverse scholarly perspectives to inform the ethical analysis of AI technology. Chapter Three details the Research Methodology employed in the study, encompassing eight key components. The research design, data collection methods, ethical considerations, sampling techniques, and data analysis procedures are outlined to elucidate the approach taken in investigating AI ethics. This chapter provides transparency on the methods used to generate insights into the moral implications of AI technology. Chapter Four presents the Discussion of Findings, where the ethical considerations identified in the literature review and empirical analysis are examined in depth. The chapter explores the ethical challenges faced in the design, deployment, and regulation of AI systems, highlighting the complexities of navigating moral dilemmas in AI technology. The findings are contextualized within existing ethical frameworks, offering insights into the implications for policy, practice, and future research. Chapter Five concludes the thesis with a Summary and Conclusion that synthesizes the key findings and implications of the research. The ethical dimensions of AI technology are revisited, and recommendations for addressing ethical challenges in AI development are proposed. The thesis concludes with reflections on the broader societal implications of AI ethics and underscores the importance of ethical considerations in shaping the future of AI technology. In summation, this thesis contributes to the ongoing discourse on AI ethics by providing a comprehensive analysis of the moral implications of AI technology. By examining ethical challenges through a multidisciplinary lens, this research aims to inform ethical decision-making in AI development and promote responsible AI innovation that upholds societal values and principles.

Thesis Overview