Guidelines on the environmental efficiency of machine learning processes in supply chain management

Scope

This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency of ML, artificial intelligence (AI) and other emerging technologies use in supply chain management. The requirements, recommended processes, best practices and other considerations regarding the measurement and verification of environmental impact/efficiency contained in this document are developed based on inputs from leading academic experts and industry leaders. These requirements provide general guidelines applicable to the use of ML, AI and other emerging technologies in supply chain management. Other stakeholders may also utilize this guidance to gain new understanding on the environmental impacts of ML, AI and other emerging technologies use in supply chain management. © ITU 2022 All rights reserved

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