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BS PAS 1882:2021
Data collection and management for automated vehicle trials for the purpose of incident investigation. Specification
What is PAS 1882:2021 about? Sponsored by the Centre for Connected and Autonomous Vehicles (CCAV) and building on the requirements…
ITU-T L.1305
Data centre infrastructure management system based on big data and artificial intelligence technology
This Recommendation describes specifications of a data centre infrastructure management (DCIM) system based on big data and artificial intelligence (AI)…
ISO 8000-62:2018
BS ISO 8000-62
Data quality – Data quality management: Organizational process maturity assessment: Application of standards relating to process assessment
The ability to create, collect, store, maintain, transfer, process and present information and data to support business processes in a…
ISO/TS 8000-82:2022
PD ISO/TS 8000-82:2022
Data quality – Data quality assessment: Creating data rules
This document describes how data rules apply to various types of data. Such rules exist to sustain the integrity and…
ISO/IEC AWI 27090
Cybersecurity — Artificial Intelligence — Guidance for addressing security threats and failures in artificial intelligence systems
This document provides guidance for organizations to address security threats and failures in artificial intelligence (AI) systems. The guidance in…
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
AFNOR SPEC Z77-100-0
Contractualization of AI systems
This PAS gives recommendations for managing security risks that might lead to a compromise of safety in a connected automotive ecosystem. The PAS covers…
ETSI EG 203341 V 1.1.1
Core Network and Interoperability Testing (INT) – Approaches for Testing Adaptive Networks
The characteristics of ‘adaptive networks’ such as virtualization, self-organization, self-configuration, self-optimization, self-healing and self-learning offer huge advantages in future networks.…
ETSI TR 103748 V 1.1.1
Core Network and Interoperability Testing (INT) – Artificial Intelligence (AI) in Test Systems and Testing of AI Models – Use and Benefits of AI Technologies in Testing
The present document provides guidance on the use of AI technologies applied to testing. © Copyright 2023, ETSI
