This document defines a basic framework with principles, characteristics and approaches for the realization and enhancement for automated artificial intelligence…
Measurement and test methods
Although the term “Big Data” has been used for several years, it continues to be associated with very different topics…
New IEEE Standard – Active. Measuring quality of experience (QoE) aims to explore the factors that contribute to a user’s…
New IEEE Standard – Active. Measurable, testable levels of transparency, so that autonomous systems can be objectively assessed, and levels…
New IEEE Standard – Active. Artificial intelligence (AI) computing differs from generic computing in terms of device formation, operators, and…
New IEEE Standard – Active. The requirements for a systems/software engineering process for privacy-oriented considerations regarding products, services, and systems…
This is an adoption of the Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI)–Technical Specification Neural Network Watermarking…
The recommendations on evaluating and improving algorithm reliability for shortening the development cycle of deep learning algorithm and improving the…
New IEEE Standard – Active. Federated machine learning defines a machine learning framework that allows a collective model to be…
New IEEE Standard – Active. The impact of artificial intelligence or autonomous and intelligent systems (A/IS) on humans is measured…
This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency…
GB30452610
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…
