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.
翻译:人工智能(AI)用于创造更可持续的生产方法和模型气候变化,使其成为防止环境退化的宝贵工具。本文描述了能源消耗技术为明天的生态挑战服务这一悖论。研究报告概述了使用基于人工智能的环境保护解决方案的部门。它借鉴了AI的众多实例,供绿色参与者提供案例和具体实例。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。还表明,关于能源消耗较少的人工智能的研究的动机是成本和能源自主性限制,而不是环境因素。这导致反弹效应,有利于提高模型的复杂性。最后,讨论了将环境指标纳入算法的必要性。环境层面是AI更广泛的伦理问题的一部分,解决它对于确保AI的长期可持续性至关重要。