Project Abstract

Abstract
Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize various aspects of society, including decision-making systems. As AI systems become increasingly autonomous, there is a growing concern about the ethical implications of their actions and the moral dilemmas they may encounter. This research project delves into the intricate ethical considerations surrounding AI and aims to provide insights into navigating moral dilemmas in autonomous decision-making systems. The study begins with an exploration of the background of AI technology and its rapid advancement, leading to the development of autonomous decision-making systems. The problem statement highlights the ethical challenges posed by these systems, particularly in scenarios where AI must make complex moral decisions with significant consequences. The objective of the study is to analyze these ethical dilemmas and propose strategies for addressing them effectively. Acknowledging the limitations of the study, including the evolving nature of AI technology and the complexity of ethical decision-making, the research defines the scope to focus on specific ethical dilemmas in autonomous decision-making. The significance of the study lies in its potential to contribute to the development of ethical frameworks for AI systems, ensuring responsible and morally sound decision-making processes. The structure of the research is outlined, detailing the chapters that explore the introduction, literature review, research methodology, discussion of findings, and conclusion. Each chapter provides a comprehensive analysis of the various aspects of ethical considerations in AI, building a cohesive framework for understanding and addressing moral dilemmas in autonomous decision-making systems. Chapter Two presents a detailed literature review, examining existing research on ethical issues in AI and decision-making systems. The review encompasses diverse perspectives on AI ethics, highlighting key concepts and debates surrounding moral decision-making by autonomous systems. Chapter Three focuses on the research methodology, outlining the approach taken to analyze ethical dilemmas in autonomous decision-making systems. The methodology includes data collection methods, ethical frameworks utilized, and analytical techniques applied to investigate moral challenges in AI. In Chapter Four, the research delves into a thorough discussion of findings, presenting insights gleaned from the analysis of ethical dilemmas in autonomous decision-making systems. The chapter explores real-world examples and hypothetical scenarios to illustrate the complexity of moral decision-making by AI and offers recommendations for addressing ethical challenges. Chapter Five concludes the research with a summary of key findings and insights, emphasizing the importance of ethical considerations in AI development. The conclusion reflects on the implications of the study for future research and applications of AI technology, emphasizing the critical role of ethics in navigating moral dilemmas in autonomous decision-making systems. In conclusion, this research project contributes to the ongoing discourse on AI ethics by providing a comprehensive analysis of ethical considerations in autonomous decision-making systems. By exploring the complexities of moral decision-making by AI, the study aims to foster responsible AI development and enhance societal understanding of the ethical implications of AI technology.

Project Overview