Thesis Abstract

Abstract
Artificial Intelligence (AI) has become a significant player in decision-making processes across various domains, raising ethical questions about its implications. This thesis explores the ethical considerations surrounding the integration of AI in decision-making processes and evaluates its impact on society. The study examines the ethical frameworks guiding AI development and deployment, considering issues such as bias, transparency, accountability, and privacy. Through a comprehensive literature review, this research identifies key ethical challenges and debates in the field of AI ethics. The methodology section outlines the research approach, including qualitative analysis of case studies and interviews with experts in the field. The findings reveal the complex ethical dilemmas inherent in AI decision-making, highlighting the tension between efficiency and fairness, autonomy and control, and individual rights and societal welfare. The discussion delves into the implications of these ethical dilemmas for policymakers, industry practitioners, and society at large, emphasizing the need for transparency, accountability, and public engagement in AI governance. The conclusion summarizes the key findings of the study and offers recommendations for addressing the ethical challenges posed by AI in decision-making processes. The thesis underscores the importance of ethical considerations in AI development and deployment, advocating for a human-centric approach that prioritizes values such as fairness, accountability, and transparency. By fostering a dialogue on AI ethics and promoting responsible AI practices, this research aims to contribute to the ethical development and deployment of AI technologies in decision-making processes.

Thesis Overview

The project titled "The Ethics of Artificial Intelligence in Decision-Making Processes" delves into the intersection of ethics and artificial intelligence (AI) within the context of decision-making processes. In recent years, the rapid advancement of AI technologies has significantly impacted various industries, including healthcare, finance, transportation, and more. As AI systems become increasingly integrated into decision-making processes, questions surrounding the ethical implications of these technologies have become more prominent. This research aims to explore and analyze the ethical considerations that arise when AI is utilized in decision-making processes. By investigating the ethical frameworks and principles that underpin these technologies, the study seeks to provide a comprehensive understanding of the potential ethical challenges and dilemmas that may arise. Additionally, the project aims to evaluate the existing regulatory frameworks and guidelines governing the use of AI in decision-making to identify potential gaps or areas for improvement. The research overview will encompass a detailed analysis of the ethical theories and principles relevant to AI ethics, such as transparency, accountability, fairness, and privacy. Furthermore, the project will examine case studies and real-world examples where AI systems have been utilized in decision-making processes to illustrate the ethical considerations at play. By critically evaluating these cases, the study aims to highlight the ethical implications of AI in decision-making and propose recommendations for ethical AI development and deployment. Overall, this research overview sets the stage for a comprehensive examination of the ethical challenges and considerations surrounding the use of AI in decision-making processes. By exploring the ethical dimensions of AI technologies, the study aims to contribute to the ongoing discourse on AI ethics and provide valuable insights for policymakers, industry stakeholders, and researchers in the field of artificial intelligence.