IT-tillämpningar: allmänt

Ämnesområden: IT-tillämpningar: allmänt
Kommittébeteckning: SIS/TK 421 (Artificiell intelligens)
Källa: ISO
Svarsdatum: den 7 okt 2026
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This document specifies methodologies for measuring the performance of AI models for classification, regression, clustering and recommendation tasks.

Ämnesområden: IT-tillämpningar: allmänt
Kommittébeteckning: SIS/TK 421 (Artificiell intelligens)
Källa: ISO
Svarsdatum: den 21 okt 2026
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This document provides a high-level framework and guidance for the development and operation of conformity assessment schemes, including certification schemes, for artificial intelligence (AI) systems.

Kommittébeteckning: SIS/TK 510 (Projekt, program och portfölj)
Källa: ISO
Svarsdatum: den 27 okt 2026
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This standard proposal outlines artificial intelligence (AI) concepts, applications, and implications, as well as benefits, risks, governance framework, and scope for use by organizations within the context of project, programme, and portfolio management (P3M). This proposed standard is intended to supplement the other TC 258 standards and is in direct alignment with standards prepared by ISO/TC 258. This document provides guidance for organizations on what to consider when adopting or looking to improve on existing AI technologies that directly support P3M. This proposed standard is applicable to any organization, including public, private, and charitable, as well as to any type of project, regardless of purpose, delivery approaches, project or programme lifecycle model used, complexity, size, cost, or duration. This document also provides (P3M) practitioners (including top-level management, project managers, PMO’s, etc.) with AI-related guidance and consideration in the areas of security, privacy, transparency, and bias, as well as related data governance, ethical and risk considerations.

Ämnesområden: IT-tillämpningar: allmänt
Kommittébeteckning: SIS/TK 421 (Artificiell intelligens)
Källa: CEN
Svarsdatum: den 11 nov 2026
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This document specifies the evaluation of natural language processing systems, in the sense of measuring the quality of a system’s results to assess its functional suitability. It provides a definition of evaluation methods for those systems, together with guidance on how to select, implement and interpret those evaluation methods. This document covers quantitative metrics as well as other evaluation methods. It includes requirements on the implementation of the described metrics, and further requirements on the technical resources involved in the evaluation process.