Thesis Abstract

Abstract
This thesis explores the ethical implications of artificial intelligence (AI) in decision-making processes. As AI technologies continue to advance and become integrated into various aspects of society, there is a growing concern about the ethical considerations surrounding their use, particularly in decision-making contexts. This study aims to critically analyze the ethical implications of AI in decision-making and to provide insights into how these implications can be addressed in a responsible and ethical manner. The research begins with an introduction to the topic, providing background information on the development and application of AI technologies in decision-making processes. The problem statement highlights the ethical dilemmas and challenges that arise from the use of AI in decision-making, emphasizing the need for a thorough analysis of these implications. The objectives of the study are outlined, focusing on the identification and evaluation of key ethical issues related to AI in decision-making. The literature review delves into existing research and scholarship on the ethical implications of AI in decision-making, covering topics such as bias and fairness, accountability and transparency, privacy and data protection, and the impact on society and human values. This comprehensive review sets the stage for the research methodology, which includes a detailed description of the research design, data collection methods, and analysis techniques used in the study. The findings of the research are presented and discussed in Chapter Four, highlighting key ethical considerations and challenges related to the use of AI in decision-making. These findings are contextualized within the broader ethical framework of AI ethics, emphasizing the importance of ethical principles such as transparency, accountability, fairness, and respect for human rights. Finally, the conclusion and summary chapter provide a synthesis of the research findings, drawing conclusions about the ethical implications of AI in decision-making and offering recommendations for future research and practice in this area. The study contributes to the growing body of knowledge on AI ethics and decision-making, providing insights and guidance for policymakers, practitioners, and researchers working in the field of artificial intelligence. Overall, this thesis offers a critical analysis of the ethical implications of artificial intelligence in decision-making, shedding light on the complex ethical challenges that arise from the use of AI technologies in decision-making processes. By examining these implications in depth, this study aims to contribute to the development of ethical guidelines and frameworks for the responsible and ethical use of AI in decision-making contexts.

Thesis Overview

The project titled "An analysis of the ethical implications of artificial intelligence in decision-making" aims to explore the complex relationship between artificial intelligence (AI) and ethical decision-making processes. As AI technologies continue to advance rapidly and become increasingly integrated into various aspects of society, it is crucial to critically examine the ethical implications that arise from the use of AI in decision-making contexts. The research will begin with an in-depth exploration of the background of AI technology, providing a comprehensive overview of its development, capabilities, and applications in decision-making processes. By establishing this foundational knowledge, the research aims to set the stage for a nuanced analysis of the ethical considerations that accompany the use of AI in decision-making. One of the key focal points of the study will be to identify and discuss the ethical challenges and dilemmas that arise when AI systems are employed to make decisions that have significant implications for individuals, organizations, and society at large. This will involve examining issues such as bias and discrimination in AI algorithms, the accountability of AI systems for their decisions, and the potential impact of AI on human autonomy and agency. Furthermore, the research will delve into the ethical frameworks and principles that can be used to evaluate the ethical implications of AI in decision-making. By drawing on ethical theories such as utilitarianism, deontology, and virtue ethics, the study aims to provide a comprehensive analysis of how these frameworks can be applied to assess the ethical implications of AI systems in decision-making contexts. Additionally, the project will investigate the regulatory and policy landscape surrounding the use of AI in decision-making, highlighting the existing guidelines and regulations that aim to ensure the ethical and responsible deployment of AI technologies. By examining the current regulatory framework and exploring potential areas for improvement, the research seeks to contribute valuable insights to ongoing discussions about the ethical governance of AI systems. In conclusion, this research overview sets the stage for a comprehensive analysis of the ethical implications of artificial intelligence in decision-making. By critically examining the ethical challenges, frameworks, and regulatory considerations associated with the use of AI in decision-making processes, the study aims to provide valuable insights that can inform ethical decision-making practices and contribute to the responsible development and deployment of AI technologies in society.