Project Abstract

Abstract
Artificial Intelligence (AI) technologies are rapidly advancing, leading to the development of autonomous decision-making systems that have the potential to significantly impact various aspects of society. This research project delves into the ethical considerations surrounding AI, specifically focusing on the moral implications of autonomous decision-making systems. The study aims to explore the ethical challenges posed by the increasing autonomy of AI systems, as well as the implications for human decision-making and societal values. The research begins with an in-depth examination of the background of AI technology, tracing its evolution and discussing the key milestones that have led to the current state of autonomous decision-making systems. By analyzing existing literature and studies, the project seeks to provide a comprehensive overview of the ethical dilemmas inherent in AI development. One of the main problems addressed in this research is the potential for AI systems to exhibit biased decision-making, leading to discriminatory outcomes that can perpetuate social inequalities. By critically assessing these issues, the study aims to highlight the importance of ethical considerations in the design and implementation of AI technologies. The objectives of this research project include identifying the key ethical challenges posed by autonomous decision-making systems, exploring the implications for human autonomy and accountability, and proposing ethical guidelines for the responsible development and deployment of AI technologies. Additionally, the study aims to investigate the limitations of current ethical frameworks in addressing the complex moral dilemmas raised by AI systems. The scope of this research encompasses a multidisciplinary approach, drawing on insights from philosophy, computer science, ethics, and social sciences to provide a holistic understanding of the ethical implications of AI technologies. By engaging with diverse perspectives and theoretical frameworks, the study aims to offer nuanced insights into the moral considerations surrounding autonomous decision-making systems. The significance of this research lies in its potential to inform policymakers, industry stakeholders, and the general public about the ethical challenges posed by AI technologies. By raising awareness of these issues, the study seeks to foster a more informed and ethically responsible approach to the development and deployment of autonomous decision-making systems. The structure of the research project is organized into five main chapters. Chapter 1 provides an introduction to the research topic, outlining the background, problem statement, objectives, limitations, scope, significance, structure, and definition of terms. Chapter 2 presents a comprehensive literature review, discussing key concepts, theories, and findings related to the ethics of AI and autonomous decision-making systems. Chapter 3 delves into the research methodology, outlining the approach, research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and limitations of the study. Chapter 4 presents a detailed discussion of the research findings, analyzing the ethical implications of autonomous decision-making systems and exploring potential solutions to address ethical challenges. In conclusion, Chapter 5 summarizes the key findings of the research, discusses the implications for future research, and offers recommendations for policymakers, industry stakeholders, and researchers in the field of AI ethics. This research project contributes to the ongoing discourse on the ethics of artificial intelligence and provides valuable insights into the moral implications of autonomous decision-making systems.

Project Overview