The SAG is a working group reporting to JTC 21. The scope of SAG is to support JTC 21 in exploring ways and means for supporting the implementation of the trustworthy Digital Single Market in terms of AI aspects with European standardization deliverables (standards, technical reports etc.).
This document provides terminology, concepts, requirements, and guidance for logging of AI systems. It is primarily intended for organizations placing on the market or putting into service AI systems and is not specific to any particular secto
The sectors of Digital Twins, Virtual Worlds/Citiverse, IoT and Data Spaces are fragmented, especially the uneven uptake of NGSI‑LD, Smart Data Models/SAREF and governance models creates a barrier for cross‑domain interoperability in cities. Therefore, I focus on harmonising these layers within ITU‑T Citiverse and EU Local Digital Twin (LDT) Toolbox. I also contribute to aligning LDT and Data Space governance with UNE 0087:2025 and the Gaia‑X Trust Framework to operationalise sovereignty, compliance and automated conformance. Moreover, I contribute to mapping LDT/MIM8, NGSI‑LD, SIMPL and Citiverse deliverables to speed deployment and avoid duplicate or conflicting specs.
My fellowship supports the development of a standardized framework for trustworthy, AI-native digital infrastructure by moving away from centralized, opaque architectures toward decentralized, composable, and transparent platforms. It addresses key challenges in current digital ecosystems, such as fragmentation, centralization, and lack of trust, with priorities including the development of AI-native composable infrastructure that embeds transparency, privacy, and accountability; the advancement of standards for federated AI, digital twin interoperability, and decentralized identity; and the resolution of gaps in trustworthy execution and governance to reduce Europe’s dependency on non-European platforms. The fellowship further seeks to enable federated, decentralized AI, ensure data sovereignty, and align composable infrastructure with European values of privacy, fairness, and transparency. These standardisation efforts are very significant in facilitating the timely adoption of emerging technologies with a global, interoperable standard for future AI infrastructure.
