Search
×
FR

Placeholder headline

This is just a placeholder headline

TEMA 11th Edition – Book of Standards (Not for Resale)

$

0

BUY NOW

Placeholder headline

This is just a placeholder headline

ISO 22040-3:2025 Life cycle management of concrete structures — Part 3: Execution stage

$

125

BUY NOW

Placeholder headline

This is just a placeholder headline

ISO 2382-19:1989 Information processing systems — Vocabulary — Part 19: Analog computing

$

0

BUY NOW

Placeholder headline

This is just a placeholder headline

ISO 6490-1:1985 Animal feeding stuffs — Determination of calcium content — Part 1: Titrimetric method

$

82

BUY NOW

Placeholder headline

This is just a placeholder headline

ISO 8536-6:2025 Infusion equipment for medical use — Part 6: Freeze drying closures for infusion bottles

$

186

BUY NOW

Placeholder headline

This is just a placeholder headline

ISO 21702:2019 Measurement of antiviral activity on plastics and other non-porous surfaces

$

289

BUY NOW

ISO/IEC TS 6254:2025

ISO/IEC TS 6254:2025 Information technology — Artificial intelligence — Objectives and approaches for explainability and interpretability of machine learning (ML) models and artificial intelligence (AI) systems

CDN $380.00

This publication was last reviewed and confirmed in 2025.

Information technology — Artificial intelligence — Objectives and approaches for explainability and interpretability of machine learning (ML) models and artificial intelligence (AI) systems

Description

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, industry, policy makers and end users. It provides guidance concerning the applicability of the described approaches and methods to the identified objectives throughout the AI system’s life cycle, as defined in ISO/IEC 22989.

Edition

1

Published Date

2026-06-19

Status

PUBLISHED

Pages

69

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

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, industry, policy makers and end users. It provides guidance concerning the applicability of the described approaches and methods to the identified objectives throughout the AI system’s life cycle, as defined in ISO/IEC 22989.

Previous Editions

Can’t find what you are looking for?

Please contact us at: