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Development and trustworthiness of autonomous/cognitive systems – Part 61-1: Terms and concepts

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Last updated: 13 Jun 2025

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Development and trustworthiness of autonomous/cognitive systems – Part 61-6: After release of the solution

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Last updated: 13 Jun 2025

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Internet of Mobility – IoM – Version handling

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Last updated: 13 Jun 2025

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Connected Vehicle Infrastructure – Roadside Equipment

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Last updated: 13 Jun 2025

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Quality requirements for video-based methods of personnel selection

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Last updated: 13 Jun 2025

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Human guarantee of systems founded on artificial intelligence in healthcare

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Last updated: 13 Jun 2025

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Training data markup language for artificial intelligence. Part 1. Conceptual model standard

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Last updated: 13 Jun 2025

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Smart community infrastructures – Guidance on smart transportation by Electric, Connected and Autonomous Vehicles (eCAVs) and its application to on-demand responsive passenger services with shared vehicles

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Last updated: 13 Jun 2025

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Guide for Framework for Data Contribution Evaluation in Federated Machine Learning

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Last updated: 12 Jun 2025

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Recommended Practice on Large-scale Pre-trained Deep Learning Model Application Framework

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Last updated: 12 Jun 2025

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Guide for Framework for Trustworthy Federated Machine Learning

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Last updated: 12 Jun 2025

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Recommended Practice on Distributed Training and Inference for Large-scale Deep Learning Models

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Last updated: 12 Jun 2025

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Development and trustworthiness of autonomous/cognitive systems – Part 61-1: Terms and concepts

Development and trustworthiness of autonomous/cognitive systems – Part 61-6: After release of the solution

Internet of Mobility – IoM – Version handling

Connected Vehicle Infrastructure – Roadside Equipment

Quality requirements for video-based methods of personnel selection

Human guarantee of systems founded on artificial intelligence in healthcare

Training data markup language for artificial intelligence. Part 1. Conceptual model standard

Smart community infrastructures – Guidance on smart transportation by Electric, Connected and Autonomous Vehicles (eCAVs) and its application to on-demand responsive passenger services with shared vehicles

Guide for Framework for Data Contribution Evaluation in Federated Machine Learning

Recommended Practice on Large-scale Pre-trained Deep Learning Model Application Framework

Guide for Framework for Trustworthy Federated Machine Learning

Recommended Practice on Distributed Training and Inference for Large-scale Deep Learning Models

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