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This book examines the environmental impact of AI systems, exploring the energy consumption, resource utilization, and carbon footprint associated with their training, operation, and disposal. It also scrutinizes the social implications of AI, addressing issues of bias, discrimination, privacy, and job displacement that can arise from its implementation. Through a blend of theoretical insights, practical guidance, and real-world case studies, this book equips readers with the knowledge and tools necessary to develop and deploy AI systems that are environmentally and socially responsible. It explores strategies for minimizing the environmental footprint of AI systems, promoting diversity and inclusion in AI development, ensuring fairness and transparency in AI decision-making, and mitigating the potential negative impacts of AI on employment and social well-being.