Towards an Environmental Ethics of Artificial Intelligence

• URL: http://arxiv.org/abs/2501.10390v1
• Date: Thu, 19 Dec 2024 17:48:54 GMT
• Title: Towards an Environmental Ethics of Artificial Intelligence
• Authors: Nynke van Uffelen, Lode Lauwaert, Mark Coeckelbergh, Olya Kudina,
• Abstract summary: This paper explores the ethical implications of the environmental impact of Artificial Intelligence (AI) for designing AI systems. We draw on environmental justice literature, in which three categories of justice are distinguished, referring to three elements that can be unjust. Based on these tenets of justice, we outline criteria for developing environmentally just AI systems.
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• Abstract: In recent years, much research has been dedicated to uncovering the environmental impact of Artificial Intelligence (AI), showing that training and deploying AI systems require large amounts of energy and resources, and the outcomes of AI may lead to decisions and actions that may negatively impact the environment. This new knowledge raises new ethical questions, such as: When is it (un)justifiable to develop an AI system, and how to make design choices, considering its environmental impact? However, so far, the environmental impact of AI has largely escaped ethical scrutiny, as AI ethics tends to focus strongly on themes such as transparency, privacy, safety, responsibility, and bias. Considering the environmental impact of AI from an ethical perspective expands the scope of AI ethics beyond an anthropocentric focus towards including more-than-human actors such as animals and ecosystems. This paper explores the ethical implications of the environmental impact of AI for designing AI systems by drawing on environmental justice literature, in which three categories of justice are distinguished, referring to three elements that can be unjust: the distribution of benefits and burdens (distributive justice), decision-making procedures (procedural justice), and institutionalized social norms (justice as recognition). Based on these tenets of justice, we outline criteria for developing environmentally just AI systems, given their ecological impact.

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