Abstract
While there is a growing effort towards AI for Sustainability (e.g. towards the sustainable development goals) it is time to move beyond that and to address the sustainability of developing and using AI systems.
In this paper I propose a definition of Sustainable AI; Sustainable AI is a movement to foster change in the entire lifecycle of AI products (i.e. idea gneration, training, re-tuning, implementation, governance) towards greater ecological integrity and social justice. As such, Sustainable AI is focusted on more than AI applications;
rather, it adresses the whole sociotechnical system of AI.
I have suggested here that Sustainable AI is not about how to sustain the development of AI per say but it is about how to develop AI that is compatible with sustaining enviromental resources for current and future generations; economic models for societies; and societal values that are fundamental to a given society.
I have articulated that the phrase Sustainable AI be understood as having two branches; AI for sustainability and sustainability of AI (e.g. reduction of carbon emissions and computing power).
Introduction
What is Sustainable AI
What is the sustainable in 'Sustainable AI'?
Environmental sustainability of AI
Towards Sustainable AI
Conclusion
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