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This recommended practice specifies governance criteria such as safety, transparency, accountability, responsibility and minimizing bias, and process steps for effective…

This standard defines attributes related to industrial Artificial Intelligence (AI) data that facilitates the classification, association, and mapping towards value…

This guide defines a machine learning framework that allows a computing task to be decomposed and distributed across edge and…

This Guide for Verification of Autonomous Systems enables the user to define a customized process for verification of their autonomous…

This standard defines interactions and exchanges among the components of adaptive instructional systems (AISs). This standard defines the data and…

This standard specifies the collaboration protocols of enabling machine learning on the edge computing node with support from industrial clouds.…

This document provides guidance and requirements for the creation and management of datasets in the context of AI, including design…

This document defines concepts, measures and requirements for assessment and treatment of bias in AI systems. This includes bias unwanted…

This document describes the principles and framework for environmental impact measurement of artificial intelligence systems and services and provides guidelines…