The recommendations on evaluating and improving algorithm reliability for shortening the development cycle of deep learning algorithm and improving the…
Measurement and test methods
IEEE 3652.1-2020
IEEE Guide for Architectural Framework and Application of Federated Machine Learning
New IEEE Standard – Active. Federated machine learning defines a machine learning framework that allows a collective model to be…
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…
This Guide for Verification of Autonomous Systems enables the user to define a customized process for verification of their autonomous…
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…
ISO 19157:2013
BS EN ISO 19157-1
Geographic information. Data quality. Part 1. General requirements
This Recommendation1 specifies a framework in the form of constraints, performance criteria and methods for the development of intrusive parametric,…
Recommendation ITU-T Y.3173 specifies a framework for evaluating the intelligence of future networks including IMT-2020 and a method for evaluating…
ETSI GR ENI 010 V 1.1.1
Experiential Networked Intelligence (ENI) – Evaluation of categories for AI application to Networks
The purpose of this work item is to specify quantitative evaluation criteria of network autonomicity categories, which is defined in…
ISO 9241-220:2019
BS EN ISO 9241-220:2019
Ergonomics of human-system interaction. Processes for enabling, executing and assessing human-centred design within organizations
What is ISO 9241-220- Ergonomics of human-system interaction about? ISO 9241-220 describes the processes and specifies the outcomes by which…
ISO 8000-64:2022
BS ISO 8000-64
Data quality. Part 64. Data quality management: Organizational process maturity assessment: Application of the Test Process Improvement method
Digital data deliver value by enhancing all aspects of organizational performance including: — operational effectiveness and efficiency; — safety; —…
ISO 8000-63:2019
BS ISO 8000-63:2019
Data quality. Data quality management: Process measurement
This document specifies a structure for process measurement stacks that organizations can instantiate to measure the characteristics of processes for…
