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Full Description
This open access book examines the real-world consequences of the infrastructure of Artificial Intelligence (AI) and Machine Learning (ML) development, use, and disposal on a global scale, with the the detrimental impact of AI/ML on the environment as a focal point. More broadly, it shows how we are living within the myth of the "omnicompetence of AI/ML," in which AI can supposedly solve the world's most complicated problems without considering how deeply unsustainable the development, production, use, and disposal of the AI/ML infrastructure actually is.
In recent years, the term 'Sustainable AI' has come into vogue to suggest using AI/ML to achieve and/or accelerate the United Nations Sustainable Development Goals (SDGs), including climate action (SDG 15), ending poverty (SDG 1), and gender equality (SDG 5) among others. By exploring the ways in which Sustainable AI is a myth, this book invites readers to imagine the AI/ML infrastructure as broken in the sense that there are serious societal and environmental concerns related to the design, development and disposal of AI/ML that demand repair. Scholars, students, professionals, policymakers, and the public learn about the concept of 'Sustainable AI' alongside the breadth of environmental and social costs associated with the lifecycle of AI/ML development. Readers are left with a desire to, and the tools to, imagine a sustainable future with AI/ML.
