Measuring what matters: How to assess AI’s environmental impact
Foreword by the ITU Deputy Secretary-General
Foreword by the Director of the ITU Telecommunication Standardization Bureau
Executive summary
Background and purpose
Table of contents
Key findings – AI training
     i Observed methodologies and best practice
     ii Gaps
     iii Recommendations for developers, consumers, policy-makers/regulators
Key findings: AI inference / usage phase
     i Observed methodologies and best practice
     ii Gaps
     iii Recommendations for developers, consumers, policy-makers/regulators
Key findings: AI supply chain and Scope 3 phase
     i Observed methodologies and best practice
     ii Gaps
     iii Recommendations for developers, consumers, policy-makers/regulators
Gaps in current AI measurement approaches
Key insights and next steps
Conclusion
Project contributors
Appendix