Thesis Abstract

Artificial Intelligence (AI) has become increasingly prevalent in decision-making processes across various sectors, raising ethical concerns about its implications. This thesis aims to explore the ethical considerations surrounding the use of AI in decision-making contexts. The research delves into the ethical frameworks that underpin AI algorithms and their impact on decision outcomes. The introduction provides an overview of the growing role of AI in decision-making and sets the context for the study. The background of the study elucidates the evolution of AI technology and its integration into decision-making processes. The problem statement highlights the ethical dilemmas posed by AI algorithms and the potential biases inherent in their decision-making mechanisms. The objectives of the study are to analyze the ethical implications of AI in decision-making, identify potential biases in AI algorithms, and propose ethical guidelines for the responsible use of AI in decision-making contexts. The limitations of the study acknowledge the complexities of ethical AI design and implementation. The scope of the study focuses on examining the ethical dimensions of AI decision-making in specific industries or applications. The significance of the study lies in its contribution to the ongoing discourse on ethical AI development and its implications for decision-making processes. The structure of the thesis outlines the chapters and subtopics covered in the research. Definitions of key terms clarify the terminology used throughout the study. The literature review in Chapter Two synthesizes existing research on AI ethics, decision-making, and bias in AI algorithms. It critically evaluates the ethical frameworks and guidelines proposed by scholars in the field. Chapter Three details the research methodology, including data collection methods, sample selection, and data analysis techniques. It explores qualitative and quantitative approaches to studying the ethical implications of AI in decision-making. Chapter Four presents a comprehensive discussion of the research findings, analyzing the ethical considerations of AI decision-making and the implications for stakeholders. It examines the potential biases in AI algorithms and suggests strategies for mitigating them. Chapter Five offers a conclusion and summary of the thesis, synthesizing the key findings and implications for future research. It highlights the ethical challenges of AI decision-making and underscores the importance of responsible AI development. In conclusion, this thesis provides a nuanced analysis of the ethics of AI in decision-making, emphasizing the need for ethical guidelines to ensure fairness and transparency in AI-driven decisions. It contributes to the growing body of literature on AI ethics and informs policymakers, practitioners, and researchers on the ethical considerations of AI in decision-making contexts.

Thesis Overview

The project titled "Exploring the Ethics of Artificial Intelligence in Decision-Making" delves into the complex intersection between ethics and artificial intelligence (AI) in the context of decision-making. As AI technologies continue to advance and permeate various aspects of society, the ethical implications of these technologies become increasingly significant. Decision-making processes are at the core of many AI applications, ranging from autonomous vehicles to algorithmic trading, raising important questions about responsibility, accountability, transparency, and fairness. This research aims to critically examine the ethical considerations surrounding the use of AI in decision-making processes. The project will explore key ethical frameworks and principles relevant to AI ethics, such as transparency, accountability, privacy, bias, and fairness. By investigating the ethical challenges posed by AI decision-making systems, this research seeks to contribute to a deeper understanding of how ethical considerations can be integrated into the design, development, and deployment of AI technologies. Moreover, the project will analyze real-world case studies and examples where AI decision-making has raised ethical concerns or dilemmas. By examining these cases, the research will highlight the potential risks and consequences of unethical AI decision-making, as well as identify best practices and strategies for addressing ethical issues in AI development and implementation. Overall, this research overview sets the stage for a comprehensive exploration of the ethics of artificial intelligence in decision-making, with the ultimate goal of promoting responsible and ethical AI practices that prioritize human values and societal well-being.