AI、气候与透明度：《人工智能法案》的落地实施与改进
AI, Climate, and Transparency: Operationalizing and Improving the AI Act
AI总结：
本文针对《人工智能法案》气候透明度条款的实施缺口，提出将推理能耗纳入监管、公开披露信息、采用服务器级累计能源报告等方案，并建议配套可持续性风险评估等政策，以管控AI的环境影响。
摘要：
本文批判性审视了《人工智能法案》（AI Act）中气候相关透明度的条款，指出其实施过程中存在的显著缺口与挑战。我们明确了几大核心缺陷：包括未将AI推理阶段的能源消耗纳入考量、未覆盖AI应用产生的间接温室气体排放，且缺乏标准化的报告方法。本文提出一种全新解释框架，将推理相关的能源使用重新纳入法案适用范围，并主张公开气候相关披露信息，以强化市场问责与公众监督。研究推荐将服务器级累计能源报告作为最合适的核算方法。我们还提出了更广泛的政策调整建议，包括可持续性风险评估与可再生能源目标，以更好应对AI的环境影响。
英文摘要：
This paper critically examines the AI Act's provisions on climate-related transparency, highlighting significant gaps and challenges in its implementation. We identify key shortcomings, including the exclusion of energy consumption during AI inference, the lack of coverage for indirect greenhouse gas emissions from AI applications, and the lack of standard reporting methodology. The paper proposes a novel interpretation to bring inference-related energy use back within the Act's scope and advocates for public access to climate-related disclosures to foster market accountability and public scrutiny. Cumulative server level energy reporting is recommended as the most suitable method. We also suggests broader policy changes, including sustainability risk assessments and renewable energy targets, to better address AI's environmental impact.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
