Brain-Inspired AI for Sustainable Development

This book explores how biologically inspired artificial intelligence, rooted in neuroscience and cognitive science, can drive sustainable innovation aligned with the United Nations Sustainable Development Goals (UN SDGs). It introduces spiking neural networks, neuromorphic hardware, and cognitive architectures, showcasing their applications in healthcare, education, industry, smart cities, and climate systems. It emphasises energy-efficient, ethical, and socially responsible AI design, offering a transformative framework for creating sustainable technological ecosystems. With global case studies, SDG mapping, and a forward-looking Brain-Inspired AI 2030 roadmap, this interdisciplinary work bridges technical rigour with societal vision. Comprehensive coverage of Brain-Inspired AI, including spiking neural networks and neuromorphic computing. Applications in healthcare, education, smart cities, and climate systems aligned with UN SDGs. Ethical and sustainable AI design principles, addressing energy efficiency, bias, and transparency. Forward-looking Brain-Inspired AI 2030 roadmap for interdisciplinary collaboration and policy integration. Pedagogical tools such as key takeaways, illustrative figures, and SDG mapping for clarity and practical relevance. The book is for researchers, postgraduate students, policymakers, and industry professionals in AI, cognitive science, sustainability, and governance.