This book presents a visionary roadmap for building frugal, strategic, and human-centered artificial intelligence—a paradigm urgently needed in today’s world of resource constraints, rising ethical concerns, and growing geopolitical competition in technology. Unlike conventional volumes that emphasize raw scale and power, this book positions efficiency, inclusivity, and sovereignty as the cornerstones of the next generation of AI.
The book is organized into six thematic sections; it offers a comprehensive yet practice-oriented exploration:
By uniting technical rigor with societal relevance, this book will serve as an essential reference for researchers, policymakers, technologists, and innovators alike. It not only charts the trajectory of AI research and applications but also makes a compelling case for why the future of AI must be efficient, sovereign, ethical, and inclusive.
This book presents a visionary roadmap for building frugal, strategic, and human-centered artificial intelligence—a paradigm urgently needed in today’s world of resource constraints, rising ethical concerns, and growing geopolitical competition in technology. Unlike conventional volumes that emphasize raw scale and power, this book positions efficiency, inclusivity, and sovereignty as the cornerstones of the next generation of AI.
The book is organized into six thematic sections; it offers a comprehensive yet practice-oriented exploration:
By uniting technical rigor with societal relevance, this book will serve as an essential reference for researchers, policymakers, technologists, and innovators alike. It not only charts the trajectory of AI research and applications but also makes a compelling case for why the future of AI must be efficient, sovereign, ethical, and inclusive.
Neha Sharma
Large Language Models (LLMs) Multi-Agent Systems Frugal AI Ethical AI Inclusive AI Responsible AI