Sustainable AI: AI for sustainability and the sustainability of AI
Sustainable AI: AI for sustainability and the sustainability of AI
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可持续人工智能：人工智能促进可持续性和人工智能的可持续性
DOI：
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发表时间：
2021
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通讯作者：
A. van Wynsberghe
中科院分区：
文献类型：
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作者：
A. van Wynsberghe
虽然人们越来越努力实现人工智能促进可持续发展(例如，实现可持续发展目标)，但现在是时候超越这一点，解决开发和使用人工智能系统的可持续性问题了。在本文中，我提出了可持续人工智能的定义；可持续人工智能是一种运动，旨在促进人工智能产品的整个生命周期(即，想法产生、培训、重新调整、实施、治理)朝着更大的生态完整性和社会正义的方向变化。因此，可持续人工智能关注的不仅仅是人工智能应用程序；相反，它解决了人工智能的整个社会技术系统。我在这里提出，可持续人工智能不是关于如何持续发展人工智能本身，而是关于如何发展人工智能，使其与为今世后代维持环境资源、社会的经济模式以及对特定社会至关重要的社会价值观相兼容。我已经阐明，短语可持续人工智能应理解为有两个分支；人工智能代表可持续发展和人工智能的可持续发展(例如减少碳排放和计算能力)。我建议可持续人工智能将可持续发展作为其定义的核心，并伴随着人工智能创新和公平资源分配之间的三个紧张关系；代际和代内正义；以及环境、社会和经济之间的紧张关系。本文并不是要涉及可持续发展的三大支柱(即社会、经济、环境)中的每一个，因此也不涉及可持续人工智能的支柱。相反，这篇论文的目的是激励读者、政策制定者、人工智能伦理学家、人工智能开发人员与环境建立联系-记住人工智能是有环境成本的。此外，将资金用于人工智能的可持续方法。
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 generation, training, re-tuning, implementation, governance) towards greater ecological integrity and social justice. As such, Sustainable AI is focused on more than AI applications; rather, it addresses 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 environmental 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). I propose that Sustainable AI take sustainable development at the core of its definition with three accompanying tensions between AI innovation and equitable resource distribution; inter and intra-generational justice; and, between environment, society, and economy. This paper is not meant to engage with each of the three pillars of sustainability (i.e. social, economic, environment), and as such the pillars of sustainable AI. Rather, this paper is meant to inspire the reader, the policy maker, the AI ethicist, the AI developer to connect with the environment—to remember that there are environmental costs to AI. Further, to direct funding towards sustainable methods of AI.