ITU-T Y Supplement 63
Unlocking Internet of things with artificial intelligence
As the IoT system continues to expand within the urban realm in keeping with smart sustainable city aspirations, the need…
Sustainability
ITU-T L Supplement 43
Smart energy saving of 5G base stations: Traffic forecasting and strategy optimization of 5G wireless network energy consumption based on artificial intelligence and other emerging technologies
This Supplement examines energy-saving technology for fifth generation (5G) base stations (BSs). Some energy-saving technologies developed since the fourth generation…
ITU-T L Supplement 41
Requirements on energy efficiency measurement models and the role of artificial intelligence and big data
Energy efficiency is a crucial issue for the sustainability of cities, today and in the future, especially due to the…
ITU-T M.3381
Requirements for energy saving management of 5G radio access network (RAN) systems with artificial intelligence (AI)
Recommendation ITU-T M.3381 provides requirements for energy saving management of a 5G radio access network (RAN) system with artificial intelligence…
ITU-T Y.4470
Reference architecture of artificial intelligence service exposure for smart sustainable cities
This Recommendation establishes the concept of artificial intelligence service exposure (AISE) for smart sustainable cities (SSCs). The scope of this…
ITU-T F Supplement 4
Overview of convergence of artificial intelligence and blockchain
This Supplement provides an overview of the convergence of artificial intelligence and blockchain, and provides a technical reference for the…
In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations,…
PD ISO/IEC/TR 20226
PD ISO/IEC/TR 20226
Information technology — Artificial intelligence — Environmental sustainability aspects of AI systems
ISO/IEC 23894:2023
Information technology – Artificial intelligence – Risk management
This document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial…
A set of processes by which organizations can include consideration of ethical values throughout the stages of concept exploration and…
ITU-T L Supplement 42
Guidelines on the environmental efficiency of machine learning processes in supply chain management
This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency…
NWIP TR (N 256)
Green and sustainable AI
The proposed document will establish a framework for quantification of environmental impact of AI and its long-term sustainability, and encourage…
