衡量关键指标：弥合人工智能环境影响评估的缺口

Disclaimer The designations employed and the presentation of the material in this publication do not imply the expression of anyopinion whatsoever on the part of the International Telecommunication Union (ITU) or of the ITU secretariat concerning The mention of specific companies or of certain manufacturers’ products does not imply that they are endorsed orrecommended by ITU in preference to others of a similar nature that are not mentioned. Errors and omissions excepted;the names of proprietary products are distinguished by initial capital letters. All reasonable precautions have been taken by ITU to verify the information contained in this publication. However, thepublished material is being distributed without warranty of any kind, either expressed or implied. The responsibility forthe interpretation and use of the material lies with the reader. The opinions, findings and conclusions expressed in this publication do not necessarily reflect the views of ITU or itsmembership. ISBN 978-92-61-42181-6 (PDF version)978-92-61-42191-5 (Electronic version) Please consider the environment before printing this report. © ITU 2026 Some rights reserved. This work is licensed to the public through a Creative Commons Attribution-Non-Commercial-Share Alike 3.0 IGO license (CC BY-NC-SA 3.0 IGO). Under the terms of this licence, you may copy, redistribute and adapt the work for non-commercial purposes,provided the work is appropriately cited. In any use of this work, there should be no suggestion that ITUendorse any specific organization, products or services. The unauthorized use of the ITU names or logos isnot permitted. If you adapt the work, then you must license your work under the same or equivalent CreativeCommons licence. If you create a translation of this work, you should add the following disclaimer along Measuring what matters:Closing the gaps in assessing 2026 Report Table of contents Foreword by the Secretary-General of the International Telecommunication Union (ITU)��������������������������������������������������������������������������������������������������������������������������������������iiiForeword by the Director of the ITU Telecommunication Standardization Bureau�������������vExecutive Summary������������������������������������������������������������������������������������������������������������������������viAcronyms and abbreviations������������������������������������������������������������������������������������������������������viiiMeasurement and transparency for AI sustainability����������������������������������������������������������������1Innovations in real-time measurement����������������������������������������������������������������������������������������2Addressing gaps in AI Lifecycle Analysis������������������������������������������������������������������������������������4Recommendations�������������������������������������������������������������������������������������������������������������������������7Call to Action�����������������������������������������������������������������������������������������������������������������������������������8Project Contributors�����������������������������������������������������������������������������������������������������������������������9 List of figures Figures Figure 1: AI compute resources life cycle /stages................................................................viFigure 2: EcoAI Tracker dashboard implementation example..........................................2Figure 3: Actual Employee Usage through SumEarth.AI implementation:https:// sumearthai .lovable .app/.............................................................................................3Figure 4: illustration of Metrics and KPIS..............................................................................5 Foreword by the Secretary-General of As digital transformation accelerates at an extraordinary pace, sodoes the urgency of addressing the multiple environmental crises While digital technologies – including artificial intelligence (AI) –offer enormous potential in addressing these crises in areas likeoptimized energy systems and more accurate climate modelling, This interdependent, global nature of digital and environmentalchallenges points to international collaboration as the only way to manage and eventually overcome them. Collaboration, in turn, depends on shared, accurate and reliable data. But as the saying goes:we cannot manage what we do not measure. This report,Closing the Gaps in Assessing AI’sEnvironmental Impact, offers a blueprint for moving from fragmented estimates to empirical While a previous report identified the challenges of data opacity, this follow-up publicationoffers a technical and policy framework to address them. Drawing on the results of globalhackathons led by ITU, it maps actionable tools — from real-time telemetry to standardizedsustainability dashboards — that can unlock the data neede