Exploring the Ethics of Artificial Intelligence: Implications for Moral Responsibility.

Thesis Abstract

Artificial Intelligence (AI) has become increasingly pervasive in our daily lives, raising significant ethical questions regarding its impact on moral responsibility. This thesis aims to explore the ethical implications of AI technology and its influence on human moral decision-making and accountability. The study focuses on understanding how the deployment of AI systems affects the attribution of moral responsibility in various contexts. The introduction provides a comprehensive overview of the research topic, highlighting the growing significance of AI technologies in contemporary society and the need to critically assess their ethical dimensions. The background of the study delves into the evolution of AI, its capabilities, and the ethical challenges associated with its deployment. The problem statement underscores the complex ethical dilemmas arising from the interaction between AI systems and human moral agency. The objectives of the study are to analyze the ethical implications of AI technology on moral responsibility, identify key challenges in attributing responsibility in AI-mediated decision-making processes, and propose ethical frameworks for addressing these challenges. The limitations of the study acknowledge the inherent complexity of the topic and the potential biases in the research analysis. The scope of the study delineates the specific areas of focus and the research methodology employed to investigate the research questions. The significance of the study lies in its potential to contribute to the ongoing discourse on AI ethics and moral responsibility, offering insights into the ethical considerations that arise from the integration of AI technologies in various domains. The structure of the thesis outlines the organization of the research chapters, guiding the reader through the analytical framework and argumentative progression. The literature review critically examines existing scholarship on AI ethics, moral philosophy, and responsibility attribution, highlighting key theoretical perspectives and empirical findings. The research methodology section elucidates the research design, data collection methods, and analytical approaches utilized to investigate the research objectives. The discussion of findings chapter presents a detailed analysis of the empirical data and theoretical insights, elucidating the ethical implications of AI technology on moral responsibility attribution. The chapter synthesizes key findings, identifies overarching themes, and proposes ethical guidelines for enhancing accountability in AI-mediated decision-making processes. The conclusion and summary chapter consolidate the key research findings, reflect on the implications for moral responsibility, and offer recommendations for future research and policy development in the field of AI ethics. Overall, this thesis contributes to the interdisciplinary dialogue on AI ethics and underscores the importance of ethical considerations in shaping the future development and deployment of AI technologies.