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Software engineering – Systems and software Quality Requirements and Evaluation (SQuaRE) – Quality model for AI systems (ISO/IEC 25059:2023)

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Last Updated: 19 Jan 2026

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Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) — Amendment 1

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Last Updated: 19 Jan 2026

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Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 2: Robustness

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Last Updated: 19 Jan 2026

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Cloud computing and distributed platforms — Data flow, data categories and data use — Part 2: Guidance on application and extensibility

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Last Updated: 19 Jan 2026

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Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model; Text in English

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Last Updated: 19 Jan 2026

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Transmission of language-based data between artificial intelligences – Specification of parameters and formats

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Last Updated: 19 Jan 2026

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Definition of a success method for labelling data for artificial intelligence training – Application focus: Question-Answering; Text in English

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Last Updated: 19 Jan 2026

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Predictive control and maintenance of data intensive industrial processes

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Last Updated: 19 Jan 2026

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Big Data in Aquaculture

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Last Updated: 19 Jan 2026

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Information technology – Artificial intelligence – Verification and validation analysis of AI systems

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Last Updated: 19 Jan 2026

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Information technology — A study of the differential impact of demographic factors in biometric recognition system performance

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Last Updated: 19 Jan 2026

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Industrial Mobile Robots – Safety Requirements – Part 1: Requirements for the IndustrialMobile Robot

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Last Updated: 19 Jan 2026

Content Type

Software engineering – Systems and software Quality Requirements and Evaluation (SQuaRE) – Quality model for AI systems (ISO/IEC 25059:2023)

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) — Amendment 1

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 2: Robustness

Cloud computing and distributed platforms — Data flow, data categories and data use — Part 2: Guidance on application and extensibility

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model; Text in English

Transmission of language-based data between artificial intelligences – Specification of parameters and formats

Definition of a success method for labelling data for artificial intelligence training – Application focus: Question-Answering; Text in English

Predictive control and maintenance of data intensive industrial processes

Big Data in Aquaculture

Information technology – Artificial intelligence – Verification and validation analysis of AI systems

Information technology — A study of the differential impact of demographic factors in biometric recognition system performance

Industrial Mobile Robots – Safety Requirements – Part 1: Requirements for the IndustrialMobile Robot

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