This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks, ensuring fair outcomes, and maintaining transparency in algorithmic processes. With a focus on real-world applications and practical solutions, it provides both theoretical insights and actionable strategies for navigating the ethical challenges inherent in algorithmic decision-making systems.
• Explores the ethical implications of artificial intelligence (AI), aiming to provide both theoretical insights and practical considerations.
• Includes both the technical aspects of algorithm design and the ethical frameworks needed to address concerns such as bias and discrimination
• Hands-on and accessible, offering step-by-step guidance on embedding ethical principles in algorithmic systems without compromising performance or functionality.
• Practical tools and frameworks for ethical algorithm design, addressing key concerns such as transparency, accountability, and bias.
• Provides actionable strategies for embedding ethical principles into the development cycle of algorithms, from conception to deployment.
The book on ethical algorithms is for practitioners and scholars working in computer science and advanced technology fields where algorithms play a critical role.
Table of Contents:
About the Author. Foreword. Preface. Chapter 1: The Rise of Intelligent Machines. Chapter 2: Ethics in the Age of Artificial Intelligence. Chapter 3: Algorithmic Bias and the Quest for Fairness. Chapter 4: AI and privacy – navigating the data dilemma. Chapter 5: Automated Decision-Making: Ethical and Practical Considerations. Chapter 6: The Moral Machines: AI and Autonomous Systems. Chapter 7: AI and social (in) Equality with social case studies. Chapter 8: Redefining Human Connections in an AI World. Chapter 9: The Corporate Ethics of AI Adoption. Chapter 10: AI Governance and Policy: A Roadmap for Policymakers. Chapter 11: Artificial General Intelligence: Dream or Nightmare. Chapter 12: Governing the AI Revolution. Chapter 13: Lessons from the Past, Insights for the Future. Chapter 14: Voices From The Frontier: Perspectives on the Ethical Challenges in AI. Chapter 15: Shaping an Ethical AI Future.
About the Author :
Dr. Manjeet Rege is a distinguished academic and industry leader in the fields of data science and artificial intelligence. As a professor and the chair of the Department of Software Engineering and Data Science at the University of St. Thomas, he has made substantial contributions to the academic world, evidenced by his recognition as a Leading Academic Data Leader for 2023 by CDO Magazine. Dr. Rege also serves as the Director of the Center for Applied Artificial Intelligence at the University of St. Thomas, where he oversees initiatives that blend academic research with practical applications in AI. His expertise is acknowledged internationally, demonstrated by the establishment of a chair professorship and analytics lab in his name at Woxsen University in Hyderabad, India, to celebrate his significant contributions in analytics. As a thought leader, author, mentor, and keynote speaker, Dr. Rege is often featured in the media, offering his expert thoughts and opinions on the latest developments in machine learning and AI. Dr. Rege serves as an advisor to various organizations to provide guidance on data strategy and imparting technical AI expertise. His work has been published in various peer-reviewed reputed publications, he serves on the editorial review board of journals and regularly participates on the program committees of various international conferences.
Dr. Hemachandran Kannan is Director of the AI Research Centre and Vice Dean at Woxsen University, India, where he also serves as Course5i Chair Professor of Analytics. A globally recognized AI researcher and innovator, he has authored four books, edited seventeen volumes, and contributed transformative patents spanning healthcare, agriculture, robotics, and smart cities. His projects include the Unified Healthcare Intelligence System (UHIS), Nano-based Necrobotics, AI-driven smart airports, and quantum-AI forecasting systems. Dr. Kannan is also an advisor to UNESCO, a DeepLearning.AI ambassador, and mentor under India’s Atal Innovation Mission, shaping youth-led innovation. His research interests span natural language processing, computer vision, recommender systems, and autonomous robotics, with a strong focus on responsible and ethical AI.
