论文标题
迈向可持续人工智能：环境保护用途和问题的概述
Towards Sustainable Artificial Intelligence: An Overview of Environmental Protection Uses and Issues
论文作者
论文摘要
人工智能（AI）用于创建更可持续的生产方法和建模气候变化，使其成为抵抗环境退化的宝贵工具。本文描述了一项能源消耗技术的悖论，该技术为明天的生态挑战提供了。该研究概述了使用基于AI的解决方案进行环境保护的部门。它借鉴了AI的许多示例，以供绿色玩家提供用例和具体示例。在研究的第二部分中，研究了AI对环境的负面影响和支持绿色AI的新兴技术解决方案。还表明，与环境因素相比，对减少能源耗尽的AI的研究更多地受到成本和能源自主性约束的动机。这导致反弹效应有利于模型复杂性的提高。最后，讨论了将环境指标集成到算法中的需求。环境维度是AI更广泛的道德问题的一部分，这对于确保AI的可持续性至关重要。
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.
