Artificial Intelligence (AI) is one of the most powerful tools available to humanity. While some debate the potential dangers of AI in general and consider a moratorium on AI development and applications necessary, others propose concepts such as AI for Sustainability and Sustainable AI to harness the potential of AI to address humanity’s most pressing challenges, including climate change to combat environmental degradation - in short, Sustainable Intelligence. In order to ground the still heated debate, this paper delves deeper into the state of the art of Sustainable Intelligence, in particular how to qualitatively and quantitatively explore the environmental impact of AI-based systems and how to minimise it. It also discusses selected research topics that need to be further explored and concludes with a Rising Star system for Sustainable Intelligence to share knowledge on environmental and societal goals for AI-based systems and to report and optimise their qualitative indicators and quantitative metrics in an open and standardised way.

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Is Your AI-Based System Five Star Sustainable?

  • Ina K. Schieferdecker

摘要

Artificial Intelligence (AI) is one of the most powerful tools available to humanity. While some debate the potential dangers of AI in general and consider a moratorium on AI development and applications necessary, others propose concepts such as AI for Sustainability and Sustainable AI to harness the potential of AI to address humanity’s most pressing challenges, including climate change to combat environmental degradation - in short, Sustainable Intelligence. In order to ground the still heated debate, this paper delves deeper into the state of the art of Sustainable Intelligence, in particular how to qualitatively and quantitatively explore the environmental impact of AI-based systems and how to minimise it. It also discusses selected research topics that need to be further explored and concludes with a Rising Star system for Sustainable Intelligence to share knowledge on environmental and societal goals for AI-based systems and to report and optimise their qualitative indicators and quantitative metrics in an open and standardised way.