The proliferation of machine learning and artificial intelligence redefines the interaction between the anthropogenic and natural elements of our habitat.The use of monitoring tools, processing facilities and the internet of things supports the assessment of planetary health at any given time through automation. However, these data, natural resources and infrastructure intensive technologies are not neutral on the Earth. As the community of AI practitioners works on the creation of tools with minimal socio-environmental impacts, we contribute to the these efforts by proposing a novel conceptual and procedural framework which we call Circular Intelligence or CIntel. CIntel leverages a bottom-up and community-driven approach to learn from the ability of nature to regenerate and adapt. CIntel incorporates ethical principles in its technical design to preserve the stability of the habitat, while also increasing the well-being of its inhabitants by design.

翻译：机器学习和人工智能的普及重新定义了人类活动与自然要素在我们栖息地中的交互关系。监测工具、处理设施和物联网的应用通过自动化技术实现了对地球健康状况的实时评估。然而，这些依赖密集数据、自然资源和基础设施的技术并非对地球环境无害。在人工智能从业者致力于开发具有最小社会环境影响工具的同时，我们通过提出名为"循环智能"（Circular Intelligence，简称CIntel）的新型概念与程序框架来推动这一进程。CIntel采用自下而上、社区驱动的方法，借鉴自然界的再生与适应能力。该框架将伦理原则融入技术设计，旨在维护栖息地的稳定性，并通过系统性设计提升居住者的福祉。