Standards Database

This document provides trustworthiness requirements and guidance for data space participants in support of trusted data transactions. Specifically, it defines a set of foundational principles for trusted data transactions, and establishes general requirements and guidance that apply to all phases…

Modern construction projects are increasingly characterised by networked machines, IIoT sensor technology, drones, AI-supported construction progress monitoring, digital documentation, andcloud-based work processes. Without stable, secure and easily administered communication networks, these technologies lose their effectiveness and thus their enormous potential…

SA/SNZ TS ISO/IEC 30105.9:2025 specifies the essentials of digital transformations and illustrates the key drivers for enhancing the digital transformation capabilities of the organization, while taking account of different stakeholders’ interests. It describes elements that ITES-BPO organizations can include specifically…

This document describes approaches and methods that can be used to achieve explainability objectives of stakeholders with regard to machine learning (ML) models and artificial intelligence (AI) systems’ behaviours, outputs and results. Stakeholders include but are not limited to, academia,…

This document describes and analyses a comprehensive set of high-level scenarios of how smart cities can best respond to public health emergencies, and strengthen their “Urban Immune System”, using evidence from as many countries as possible. It covers use cases…

This present document will provide an understanding of the harm from Generative AI along with presenting the different ways to prevent that harm. This includes but is not limited to malicious code generation, deepfakes, spam messages, disinformation etc. The areas…

The present document covers the Continuous Auditing Based Conformity Assessment (CABCA) process for AI-enabled systems, including its definition, principles, tasks and benefits compared to traditional ‘point-in-time’ certifications. CABCA is examplified in an MLOps setup, which involves the assessment of ML…

This document specifies general principles for the application of artificial intelligence in the medical laboratory.This document is applicable to methods commonly considered subsets of artificial intelligence, including fuzzy logic, Bayesian networks, supervised and unsupervised machine learning, deep learning, neural networks,…