December 20, 2025 |
Responsible AI: Principles and Practices is a comprehensive research work that examines how AI can be designed, governed, and deployed responsibly in real-world systems. Integrating global principles, frameworks and regulations, the book bridges ethical foundations with technical safeguards and organisational governance. It explains complex concepts—bias, explainability, privacy, synthetic data, machine unlearning, copyright/IPR and digital deception—in clear, research-grounded language. Rich sectoral cases across finance, healthcare, public services, media, and education demonstrate practical dilemmas and accountability lessons. Building on this foundation, the book presents practical pathways for operationalising RAI inside organisations, covering governance structures, sustainability, innovation sandboxes, and guardrails. Supported with templates, checklists, audit tools, this book equips managers, policymakers, scholars, and technologists to build and evaluate trustworthy AI systems with clarity and confidence.