This work presents a structured view of the state-of-the-art research on Artificial Intelligence (AI), from the point of view of efficiency and reduction of the energy consumption of AI Software. We analysed the current research on energy consumption of AI algorithms and its improvements, which gave us a starting literature corpus of 2688 papers that we identified as Green AI with a software perspective. We structure this corpus into Green IN AI and Green BY AI, which led us to discover that only 36 of them could be considered Green IN AI. After some quick insights about Green BY AI, we then introduce our main contribution: a systematic mapping of Green IN AI. We provide an in-depth analysis of the AI models that observed during the mapping, and what solutions have been proposed for improving their energy efficiency. We also analyse the energy evaluation methodologies employed in Green IN AI, discovering that most papers opt for a software-based energy estimation approach and a 27% of all papers not documenting their methodology. We finish by synthetising our insights from the mapping into a Decalogue of Good Practices for Green AI.

中文翻译：

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从软件角度看 Green IN 人工智能：最先进的绿色十诫


这项工作从 AI 软件的效率和降低能耗的角度，提出了人工智能 （AI） 最新研究的结构化视图。我们分析了当前对 AI 算法能耗及其改进的研究，这为我们提供了一个包含 2688 篇论文的起始文献语料库，我们从软件的角度将其确定为绿色 AI。我们将这个语料库构建为 Green IN AI 和 Green BY AI，这让我们发现其中只有 36 个可以被视为 Green IN AI。在快速了解了 Green BY AI 之后，我们随后介绍了我们的主要贡献：Green IN AI 的系统映射。我们对在映射过程中观察到的 AI 模型进行了深入分析，并提出了哪些解决方案来提高其能源效率。我们还分析了 Green IN AI 中采用的能源评估方法，发现大多数论文选择了基于软件的能源估算方法，而 27% 的论文没有记录他们的方法。最后，我们将我们从映射中获得的见解综合成绿色 AI 良好实践十诫。