Thesis Abstract

Abstract
Artificial Intelligence (AI) has rapidly advanced in recent years, revolutionizing various aspects of society, including decision-making processes. This thesis explores the ethical considerations surrounding AI decision-making and its moral implications. The overarching aim is to critically analyze the ethical framework within which AI operates and evaluate the moral consequences of its decisions. The introduction provides an overview of the rapid integration of AI into diverse fields and the increasing reliance on AI systems for decision-making. The background of the study delves into the historical development of AI technology and its evolution over time. The problem statement highlights the ethical dilemmas that arise when AI systems are tasked with making decisions that impact individuals and societies. The objectives of the study include examining the ethical principles guiding AI decision-making, identifying potential biases in AI algorithms, and exploring the implications for moral responsibility in AI systems. The limitations of the study are also acknowledged, including the complexity of AI technologies and the evolving nature of ethical debates in this field. The scope of the study focuses on the moral implications of AI decision-making within specific contexts. The significance of the study lies in its contribution to the ongoing discourse on AI ethics and the need for a comprehensive ethical framework to guide AI development and deployment. The structure of the thesis is outlined to provide a roadmap for the subsequent chapters, which include an in-depth literature review, research methodology, discussion of findings, and conclusion. The literature review chapter critically examines existing research on AI ethics, moral philosophy, and decision-making algorithms. Key themes such as bias, transparency, accountability, and explainability in AI systems are explored in relation to ethical considerations. The research methodology chapter outlines the approach taken to analyze ethical frameworks, conduct case studies, and evaluate the moral implications of AI decision-making. The discussion of findings chapter presents the outcomes of the analysis, including insights into the ethical challenges posed by AI decision-making and the implications for moral responsibility. The conclusion chapter summarizes the key findings, reflects on the ethical implications of AI decision-making, and offers recommendations for future research and policy development in this area. In conclusion, this thesis contributes to the growing body of literature on AI ethics by examining the moral implications of AI decision-making. By critically evaluating the ethical framework guiding AI systems, this study aims to inform ethical decision-making practices and promote greater accountability and transparency in the development and deployment of AI technologies.

Thesis Overview