
Product Description
India passed the Digital Personal Data Protection Act in November 2023. By the time it became law, AI had already been making consequential decisions about Indian citizens for years. Loans approved or denied. Insurance premiums set. Job applications screened. Government benefits distributed or withheld. All of it automated, algorithmic, and largely invisible to the people it affected. DPDPA arrived to govern data. But the problem India actually has is larger than data. It is a problem of decisions, autonomous, opaque, and operating at a scale no previous legal framework was designed to handle. This book is about that gap. At the centre of the book is the A-T-E-S Model, a practical governance framework built on four requirements for any organisation deploying AI in India: Accountability, Transparency, Explainability, and Security. Moving from foundation to implementation, the book covers AI risk management, cybersecurity for AI systems, privacy-by-design, step-by-step DPDPA compliance, and Data Protection Impact Assessments. Each chapter includes worked examples, template snapshots, and case studies drawn from Indian organisations in banking, insurance, healthcare, and education. Written for compliance and legal professionals, cybersecurity practitioners, business leaders, and citizens, this is not a theoretical text. Every framework is designed for Indian conditions: Indian regulatory architecture, Indian organisational scale, and India's distinctive position as a country deploying AI across a billion-person population while the governance norms for doing so responsibly are still being written. The governance gap is real. The path to closing it is the subject of this book. Read more


