ISO/IEC TS 6254:2025
Current
The latest, up-to-date edition.
Information technology — Artificial intelligence — Objectives and approaches for explainability and interpretability of machine learning (ML) models and artificial intelligence (AI) systems
Hardcopy , PDF
English
05-09-2025
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.
| Committee |
ISO/IEC JTC 1/SC 42
|
| DocumentType |
Standard
|
| Pages |
69
|
| PublisherName |
International Organization for Standardization
|
| Status |
Current
|
| Standards | Relationship |
| DS/ISO/IEC TS 6254:2025 | Identical |
| INCITS/ISO/IEC 9868:2025(2025) | Information technology - Design, development, use and maintenance of biometric identification systems involving passive capture subjects (Identical National Adoption of ISO/IEC 9868:2025) |
Access your standards online with a subscription
-
Simple online access to standards, technical information and regulations.
-
Critical updates of standards and customisable alerts and notifications.
-
Multi-user online standards collection: secure, flexible and cost effective.
Important note : Users cannot be edited or removed once added to your Multi user PDF.