AI Ethics Principles, Challenges, and Practices

AI Ethics Principles, Challenges, and Practices

By Anand Vemula

Education and Learning

Self-Help

Length3h 11m

About this book

Summary

This book provides a comprehensive exploration of artificial intelligence ethics, structured into four parts that guide readers from foundational concepts to sector-specific dilemmas and future governance challenges. Beginning with the foundations of AI ethics, it examines core ethical theories such as utilitarianism, deontology, and virtue ethics, and interrogates fundamental questions about moral reasoning, personhood, and human autonomy in relation to AI. The book then delves into the nature and capabilities of AI, tracing its historical development and philosophical underpinnings. Moving into pressing ethical themes, the text analyzes critical issues such as bias and fairness in algorithmic decision-making, transparency and accountability in opaque AI systems, and the challenges of privacy and surveillance in an AI-driven world. It discusses human autonomy in the face of increasing automation, the complexities of ensuring AI safety and alignment with human values, and the ethical boundaries of manipulation and misinformation through AI technologies. The book’s third section focuses on sectoral applications, highlighting ethical dilemmas unique to healthcare, criminal justice, education, employment, and defense. It addresses how AI’s integration into these areas affects trust, rights, and social justice. Finally, the book looks ahead to governance and the future of AI ethics, evaluating existing regulatory frameworks, global justice considerations, and emerging ethical questions about posthuman AI and sentient machines. Emphasizing ethics-by-design, participatory approaches, and ongoing oversight, it advocates for interdisciplinary collaboration to ensure AI develops in ways that are just, transparent, and aligned with human values.