OC#7 2026

I focus on the development of a new standard Work Model type (Technical Specification) that facilitates the consolidation, integration, and implementation of requirements, helping organisations comply with AI laws, regulations, and standards more effectively. The objective is to guide and support organisations on how to meet the multiple requirements imposed by laws, regulations, and standards on AI-based systems. The initiative will not create new requirements but will provide assistance and guidance to organisations on how to consolidate, integrate, implement and audit different sources of requirements

My fellowship addresses three critical gaps in the European AI standardization landscape: The first gap concerns the harmonisation of Documentation Development, as there is an urgent need for technical documentation (Annex ZA, HAS checklists) to connect developing standards with AI Act requirements following the M/593 request. Without this work, standards risk delayed OJEU citation, creating regulatory uncertainty. I've worked on developing preliminary harmonization documents for JT021008 (Trustworthiness), JT021039 (QMS), and JT021024 (Risk Management). The second gap is related to cross-Standard Technical Coherence. As multiple AI standards are developed simultaneously, it creates potential inconsistencies in terminology, requirements, and implementation approaches. I've created mapping documents highlighting interconnections between standards, particularly focusing on how QMS requirements interface with other M/593 standards, to ensure a coherent framework. The third gap focuses on the alignment with EU AI Act Articles, as technical specifications in draft standards must precisely align with AI Act articles to support regulatory compliance. I have contributed targeted technical refinements to clauses 6.4 (transparency) and 6.5 (human oversight) in the Trustworthiness Framework to strengthen alignment with Articles 13 and 14 of the AI Act.

I addressed priorities and gaps on three specific AI areas, including: 

• Metadata Persistence in Dynamic Content Environments: Addressing the gap of traditional identification systems when metadata bindings are disrupted as content is altered. ISCC-soft binding techniques create resilient content-metadata bonds without centralized registries, maintaining reference integrity along numerous axes of change using similarity-preserving identification algorithms.
• Cross-Domain Identification Interoperability: Resolving constraints of isolated content recognition systems. ISCC's composability enables standardized cross-format identification across text, image, audio and video content formats, enabling metadata discovery across previously disparate identification ecosystems without relying on proprietary integration methods.
• Decentralized Authentication Systems: Developing technological infrastructure for decentralized content provenance verification. Classical authentication mechanisms create single points of failure and privacy problems. This project evaluates soft binding methods that enable verifiable content provenance while maintaining compatibility with European digital sovereignty principles and facilitating transparent content verification without trusted centralized authorities.

The main priorities of my fellowship are to support the development of two European standards for AI systems, Risk Management and Cybersecurity, which will enable organisations to manage risks and address cybersecurity concerns in alignment with the AI Act.

The s-X-AIPI project endeavour is to research, develop, test, and validate a bespoke suite of trustworthy self-X AI  technologies tailored for process industries. This initiative aims to bridge the gap between AI capabilities and traditional automation processes, ensuring that AI tools are both accessible and effective across various industrial applications.

With the support of this fellowship, I tackle specific bias detection and mitigation requirements with accompanying illustrative example within CEN/CLC/JTC21 WG3 "Concepts, measures and requirements for managing bias in AI systems" standard that are aligned/harmonised with relevant EU AI Act legislation.

The adoption of AI in telecommunications systems is expected to foster the investments made not only in connectivity itself, but also in digital infrastructures.

Local Digital Twins will be a fundamental building block for CitiVerse. It will also play a crucial role for anyone in the public sector who wants to fully utilize the usage of AI.
Today, cities, regions and countries all over the world are building Local Digital Twins using various tools and approaches. Game engines, CAD tools, GIS, AR/VR/XR tools, Urban Digital Platforms, CIM and other visualisation tools are used. Thus a wide spread of technologies and standards. 
Interoperability for Local Digital Twins (LTD) is crucial. They need to fit horizontally and vertically. Horizontally is to put a LDT of one city next to a LDT of another city and make them align. Vertically, by example, a LDT produced by a city must fit LDT from public transportation and LDT by the energy company for the same geographical area, etc. 

European CitiVerse will be built upon Local Digital Twins. If separate Local Digital Twins in Europe don't fit together it will be impossible to create a seamless CitiVerse. It will also be difficult with interoperability between LDT:s. The LDT also needs interoperability versus dataspaces and IoT. For a LDT:s to be useful for officials and others, LDT:s need interoperability with the business operating systems used by officials on a daily basis. 

In this sense, in the framework of my fellowship, my JWG has sent a survey to many major LDT projects around the world, and we are now gathering the results and statistics.  The result will be a gap analysis and a technical report, which will enable advice to all relevant major SDO:s on how to develop or change their standards to fit better together. 

The priority aims to support the development of European and international standards for DLT/blockchain technologies to ensure transparency in sustainable financing. This contribution brings together the financial, reporting and new technologies to address the gaps between these three sectors.
The challenge for sustainable finance is to minimise the risk of 'greenwashing’ and provide better reporting for the Sustainability sector, ESG investment and Net Zero climate goals and new EU Reporting regulations.
It includes standards development to combine blockchain/DLT Use Cases reflecting sustainable solutions, while the sustainable finance standards cover Terminology and reporting guidelines, and the financial services consider digital currencies and tokenisation.

This contribution aligns with the European Standardisation initiatives, including the effective delivery of ESG investment strategy and Net Zero climate goals, along with the new EU Climate and Sustainable Reporting legislation in 2024 /2025.
 

The objective of this contribution was to design a taxonomy of decentralised identifier and identity terms for further integration into ISO/TC307 works developed by AHG5 and JWG4.
My fellowship was key to address the gap between worldwide blockchain and DLT standards in the fields of identifier and identity management, especially between ISO/TC307, ITU-T and W3C while including some European-led reference documents (i.e. EBSI, eSSIF-Lab and INATBA glossaries).
The main challenge was reaching consensus between ISO/TC307 working groups (especially AHG5 and JWG4) to support the revision of ISO/TS 23258:2021 in order to integrate a taxonomy of decentralised identifier and identity terms.

With this fellowship, I significantly contribute to the ICT Standards landscape by addressing the lack of standardised guidelines for processing Personal Identifiable Information (PII) in blockchain and Distributed Ledger Technology (DLT) systems. Approving the New Work Item Proposal (NWIP) for “Guidelines on processing PII using blockchain and DLT” establishes a crucial foundation for privacy-preserving, GDPR-compliant blockchain applications.
By leading the creation of CEN/CENELEC JTC19 WG3, I am ensuring the development of a harmonised European approach to blockchain privacy, reducing fragmentation and fostering interoperability. These efforts align blockchain implementations with European regulations, consumer protection laws, and data governance principles.
 

My fellowship focuses on standardizing Non-Fungible Tokens (NFTs) for sustainable asset management, addressing gaps in digital asset representation, regulatory clarity, and ESG alignment. It supports innovation, transparency, and interoperability in tokenized real-world assets (RWAs), in line with EU priorities.
Current NFT-based RWA systems lack harmonised frameworks, causing fragmentation in asset tracking, legal recognition, and compliance. This hinders adoption across supply chains, carbon markets, and IP management. My project proposes a cross-industry standard to ensure interoperability, regulatory alignment, and lifecycle transparency.
In this sense, the there are two major priorities for this action, including: 
Standardized Multi-Asset Tokenization that enables NFT-based tracking of physical, environmental, and intangible assets. It also enhances lifecycle transparency, supports the circular economy, and ensures blockchain interoperability.
Digital Product Passport (DPP) to align NFTs with DPP for end-to-end traceability, compliance, and ESG reporting.This strengthens supply chain transparency and EU circular economy goals.

The key Challenges related to my activity are: 
Regulatory Uncertainty: Lack of clear NFT standards impedes legal and policy alignment. This initiative ensures conformity with EU law and ISO.
Adoption Barriers: Fragmented governance limits integration. Standardisation enhances technical and regulatory trust.
Sustainability Concerns: Energy-intensive DLTs are problematic. This activity promotes efficient models aligned with the Green Deal.

Consequently, this project positions Europe as a leader in NFT standardisation, fostering secure, compliant, and sustainable digital ecosystems.