Responsible AI: Principles to Practice Paperback – 11 December 2025

"Responsible AI: Principles to Practice – Frameworks for Governance, Innovation, and Sectoral Adoption" by Anjali Kaushik is a definitive guide for navigating the complex landscape of ethical, legal, and operational challenges in Artificial Intelligence. Drawing on years of research, teaching, and policy consultation, the book bridges the gap between high-level ethical principles and practical implementation. It is organized into four parts: Global Frameworks and Ethical AI: Lays the foundation with international principles, laws, and governance models. Technical and Socio-Ethical Dimensions: Explores bias, explainability, privacy, machine unlearning, and synthetic data. Operationalizing Responsible AI: Provides actionable strategies for embedding Responsible AI into organizational processes, including governance, risk management, and sustainability. Sectoral Frameworks and Use Cases: Demonstrates application across finance, healthcare, public services, media, and education, with real-world case studies and best practices. The book concludes with practical annexures—self-assessment checklists, coding exercises, and risk repository templates—making it an indispensable resource for anyone seeking to ensure that AI systems are not only innovative and efficient, but also fair, transparent, accountable, and aligned with human values.

Categories: Action & Adventure