AI-specific Archives - Page 14 of 69

ETSI TR 103674 V 1.1.1

SmartM2M – Artificial Intelligence and the oneM2M architecture

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Detailed description of selected use cases and identification of architectural evolutions (components, required mappings, etc.) to the oneM2M framework. ©…

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Last Updated: 18 Jul 2024

ETSI GR SAI 006 V 1.1.1

Securing ArtificiaI Intelligence (SAI) – The role of hardware in security of AI

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Horizontal AI-specific Security and resillience System architecture

Process, management and governance

To prepare a report that identifies the role of hardware, both specialised and general-purpose, in the security of AI. This…

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Last Updated: 18 Jul 2024

ETSI GR SAI 001 V 1.1.1

Securing Artificial Intelligence (SAI) – AI Threat Ontology

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Horizontal AI-specific Risk management Robustness

Safety Security and resilience Foundational and terminology

The purpose of this work item is to define what would be considered an AI threat and how it might…

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Last Updated: 18 Jul 2024

ETSI GR SAI 002 V 1.1.1

Securing Artificial Intelligence (SAI) – Data Supply Chain Security

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Horizontal AI-specific Data collection Data management

Data processing Data protection Data quality Data sharing Privacy Robustness Safety Security and resilience Process, management and governance

Data is a critical component in the development of AI systems. This includes raw data as well as information and…

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Last Updated: 18 Jul 2024

ETSI GR SAI 004 V 1.1.1

Securing Artificial Intelligence (SAI) – Problem Statement

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Horizontal AI-specific Bias and discrimination Data collection

Data processing Data protection Explainability and transparency Privacy Robustness Security and resilience System lifecycle Foundational and terminology

This work item describes the challenges of securing AI-based systems and solutions, including challenges relating to data, algorithms and models…

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Last Updated: 18 Jul 2024

ETSI GR SAI 005 V 1.1.1

Securing Artificial Intelligence (SAI) – Mitigation Strategy Report

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Horizontal AI-specific Data processing Robustness

Safety Security and resilience Process, management and governance

This work item aims to summarize and analyze existing and potential mitigation against threats for AI-based systems. The goal is…

Published

Last Updated: 18 Jul 2024

CEN ISO/TR 22100-5:2022

Safety of machinery — Relationship with ISO 12100 — Part 5: Implications of artificial intelligence machine learning

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Manufacturing AI-specific Safety Process, management and governance See more

This document addresses how artificial intelligence machine learning can impact the safety of machinery and machinery systems. This document describes…

Published

Last Updated: 18 Jul 2024

BS PAS 1884:2021

Safety operators in automated vehicle testing and trialling. Guide

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Transport and autonomous vehicles - Road vehicles AI-specific Accountability Safety

Skills and readiness Robotics and autonomous systems Process, management and governance

What is PAS 1884 – Safety operators in automated vehicle testing about? The latest in a series of standards supporting…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3170

Requirements for machine learning-based quality of service assurance for the IMT-2020 network

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Professional services Telecom and network-based services AI-specific Accuracy and performance

Data collection Data processing Interoperability Security and resilience System architecture System quality Interface and architecture

This recommendation specifies requirements of machine learning based QoS assurance for the international mobile telecommunications 2020 (IMT-2020) network. This recommendation…

Published

Last Updated: 18 Jul 2024

ISO 39003:2023 BS ISO 39003

Road Traffic Safety (RTS). Guidance on safety ethical considerations for autonomous vehicles

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Transport and autonomous vehicles - Road vehicles AI-specific Human-centred design Project management

Safety, Risk management Robotics and autonomous systems Process, management and governance

Published

Last Updated: 18 Jul 2024

ITU-T L Supplement 41

Requirements on energy efficiency measurement models and the role of artificial intelligence and big data

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Energy Smart cities AI-specific Sustainability

Measurement and test methods

Energy efficiency is a crucial issue for the sustainability of cities, today and in the future, especially due to the…

Published

Last Updated: 18 Jul 2024

ITU-T M.3382

Requirements for work order processing in telecom management with artificial intelligence

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Telecom and network-based services AI-specific Data collection Data processing

Interoperability System architecture Process, management and governance

Recommendation ITU-T M.3382 provides the requirements for work order processing in telecom management with artificial intelligence (AI). Based on AI…

Published

Last Updated: 18 Jul 2024

Content Type

SmartM2M – Artificial Intelligence and the oneM2M architecture

Securing ArtificiaI Intelligence (SAI) – The role of hardware in security of AI

Securing Artificial Intelligence (SAI) – AI Threat Ontology

Securing Artificial Intelligence (SAI) – Problem Statement

Securing Artificial Intelligence (SAI) – Mitigation Strategy Report

Safety of machinery — Relationship with ISO 12100 — Part 5: Implications of artificial intelligence machine learning

Safety operators in automated vehicle testing and trialling. Guide

Requirements for machine learning-based quality of service assurance for the IMT-2020 network

Road Traffic Safety (RTS). Guidance on safety ethical considerations for autonomous vehicles

Requirements on energy efficiency measurement models and the role of artificial intelligence and big data

Requirements for work order processing in telecom management with artificial intelligence

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