Towards Sustainable Artificial Intelligence: An Overview of Environmental Protection Uses and Issues

Arnault Pachot, Céline Patissier
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引用次数: 3

Abstract

Artificial Intelligence (AI) is used to create more sustainable production methods and model climate change, making it a valuable tool in the fight against environmental degradation. This paper describes the paradox of an energy-consuming technology serving the ecological challenges of tomorrow. The study provides an overview of the sectors that use AI-based solutions for environmental protection. It draws on numerous examples from AI for Green players to present use cases and concrete examples. In the second part of the study, the negative impacts of AI on the environment and the emerging technological solutions to support Green AI are examined. It is also shown that the research on less energy-consuming AI is motivated more by cost and energy autonomy constraints than by environmental considerations. This leads to a rebound effect that favors an increase in the complexity of models. Finally, the need to integrate environmental indicators into algorithms is discussed. The environmental dimension is part of the broader ethical problem of AI, and addressing it is crucial for ensuring the sustainability of AI in the long term.
迈向可持续的人工智能:环境保护用途和问题综述
人工智能(AI)被用于创造更可持续的生产方法和模拟气候变化,使其成为对抗环境退化的宝贵工具。本文描述了能源消耗技术服务于未来生态挑战的悖论。该研究概述了使用基于人工智能的环境保护解决方案的行业。它从绿色玩家的AI中提取了许多例子来呈现用例和具体例子。在研究的第二部分中,研究了人工智能对环境的负面影响以及支持绿色人工智能的新兴技术解决方案。研究还表明,低能耗人工智能的研究更多地受到成本和能源自主约束的驱动,而不是环境考虑。这导致了反弹效应,有利于增加模型的复杂性。最后,讨论了将环境指标纳入算法的必要性。环境层面是人工智能更广泛的道德问题的一部分,解决这一问题对于确保人工智能的长期可持续性至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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