AI Ethics: Principles, Challenges, and Practices

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.