The Interdependence of AI and Sustainability: Can AI Show a Path Toward Sustainability?

Klaus Bruno Schebesch ()
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Klaus Bruno Schebesch: Vasile Goldiș Western University Arad

Chapter Chapter 23 in Challenges and Opportunities to Develop Organizations Through Creativity, Technology and Ethics, 2020, pp 383-400 from Springer

Abstract: Abstract Sustainability and artificial intelligence both offer major instruments for addressing complex future challenges. In mass media and throughout various societal circles, their discussion and promotion enjoy increasing popularity. At the level of attitude and opinion formation, both have indeed major influence. Both have their unconditional followers and fans, and both have also important critics and even outright “deniers.” Utopian and dystopian sentiment changes hands. Within this context, it might seem challenging to find a principled way of describing and relating useful and acceptable concepts about the constructive interdependence of AI and sustainability. We propose to outline in which respect the notions and concepts of both artificial intelligence and sustainability are highly relevant for future human well-being. Both describe a complicated system of goals with important interdependence. In terms of social or behavioral mechanics, they may both be regarded as games on many levels. In order to elucidate ways of employing AI as an enabler of sustainability, we choose to focus on energy-sustainability as a subset of all sustainability concerns. Next, we highlight that AI may importantly play into sustainability by eventually enabling to solve some highly relevant but hard energy-technology problems. The next stages are modifying goals according to newly arriving perspectives and playing a repeated sustainability supergame, which includes different stakeholders on demand. Games may be employed as a means of strategy assessment as is the case in standard gaming but also as an AI-supported vehicle for evaluating, learning, or discovering structures. The argumentation is mainly nontechnical, in the sense of refraining from numeric or other concrete computational experiments which at this stage may appear rather arbitrary. Nevertheless, care is taken to connect to all technical contents in a precise and logically consistent manner.

Keywords: Sustainability; AI; Energy; Framing of goals; Games (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-43449-6_23

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DOI: 10.1007/978-3-030-43449-6_23

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