为人机交互研究中的生成式AI使用提供碳足迹估算工具
The HCI GenAI CO2ST Calculator: A Tool for Calculating the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research
- 针对HCI研究场景设计，基于云服务使用情况估算能耗
- 支持研究前预估与研究后追溯，助力低碳实验设计
- 适合关注可持续计算的研究者和论文作者
生成式AI在人机交互（HCI）研究中的广泛应用带来了气候影响，源于训练和运行模型所消耗的硬件能源。由于多数研究使用云服务，硬件及其能耗难以直接观测，导致碳排放量估算困难。本文提出专为HCI研究流程设计的HCI GenAI CO2ST计算器，帮助研究人员估算在研究中使用生成式AI所产生的能源消耗和碳足迹，支持研究前的可行性评估与优化策略制定，或研究后的透明化报告，提升研究的环境责任意识。
原文摘要 · Abstract (English)
Increased usage of generative AI (GenAI) in Human-Computer Interaction (HCI) research induces a climate impact from carbon emissions due to energy consumption of the hardware used to develop and run GenAI models and systems. The exact energy usage and and subsequent carbon emissions are difficult to estimate in HCI research because HCI researchers most often use cloud-based services where the hardware and its energy consumption are hidden from plain view. The HCI GenAI CO2ST Calculator is a tool designed specifically for the HCI research pipeline, to help researchers estimate the energy consumption and carbon footprint of using generative AI in their research, either a priori (allowing for mitigation strategies or experimental redesign) or post hoc (allowing for transparent documentation of carbon footprint in written reports of the research).
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