This book advocates for a human-centric approach to artificial intelligence for sustainability. It emphasizes the importance of considering ethical, social, and cultural implications, as well as ensuring inclusivity and accessibility in artificial intelligence solutions. It takes an interdisciplinary approach, drawing insights from diverse fields such as environmental science, economics, sociology, and computer science.

This book:



Emphasis on the crucial role of a human-centric perspective in addressing pressing global issues through the lens of artificial intelligence, and sustainability.
Offers a refreshing and insightful approach that goes beyond the technical aspects of AI to explore its ethical, social, and environmental implications.
Delves into the potential risks and challenges associated with artificial intelligence deployment, such as privacy concerns, algorithmic bias, and job displacement.
Presents examples and case studies demonstrating how artificial intelligence technologies can be applied to sustainability challenges, such as climate change mitigation, biodiversity conservation, and resource management.
Provides practical frameworks and methodologies that organizations and individuals can use to integrate artificial intelligence technologies into their sustainability efforts effectively.

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.