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Akoma Ntoso Version 1.0
The Akoma Ntoso standard distinguishes between concepts regarding the description and identification of legal documents, their content, and the context in which they areused. Names are used to associate the document representations to concepts so that documents can be “read/understood” by a machine, thus allowing sophisticated services that are impossible to attain with documents containing only typographical information, such as documents created in word-processing applications.To make documents machine-readable, every part with a relevant meaning and role must have a “name” (or “tag”) that machines can read. The content is marked up as precisely as possible according to the legal analysis of the text. This requires precisely identifying the boundaries of the different text segments, providing an element name that best describes the text in each situation, and also providing a correct identifier to each labelled fragment.
IEEE - PDP - Personal Data Privacy Working Group
The purpose of this standard is to have one overall methodological approach that specifies practices to manage privacy issues within the systems/software engineering life cycle processes.
Emilia Tantar
Monika Heyder
The continued and active participation of representatives from associations, cities, and communities underscored the strong interest in and perceived relevance of this work to address pressing challenges. Beyond the core topics of digitalisation and climate change, we also addressed issues such as procurement, nature-based solutions, and the nature-positive economy. A representative from the Tiliria Region (Cyprus) highlighted the importance of recognising and integrating historical knowledge as a distinct asset for addressing energy and water shortages and building more resilient societies. Inspired by these debates, the Cypriot Mirror Committee will launch a new standardisation project to develop a standardised Climate City Contract for Cyprus, which will serve cities and communities in creating broad coalitions and help address climate change more systematically.
Debora Comparin
This fellowship contributes to the enhancement of the ITU-T X.1281 standard, the project supports the creation of secure, trusted, and interoperable mechanisms for verifying attributes from Authentic Sources. This is crucial for the deployment of the EUDI Wallet, a flagship initiative under the Digital Single Market strategy aiming to be available to all EU citizens and residents by 2026.
The key challenges are related to:
Interoperability: The lack of standardization leads to fragmented implementations across Member States, impeding seamless cross-border operations.
Security and Trust: Verifying sensitive personal attributes (like diplomas or driving licenses) requires secure, privacy-preserving, and auditable mechanisms that are hard to implement consistently without a shared standard.
Legal and Technical Fragmentation: Authentic Sources vary widely across jurisdictions in terms of legal frameworks, data models, and technical capacities. A harmonized standard must respect these national differences while ensuring a unified operational framework at the EU level.
Luis Moran Abad
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
SMEs frequently struggle to interpret legal and technical requirements, allocate time for implementation, and ensure ongoing adherence. A practical standard would provide a clear framework for implementation reducing the cost and effort of compliance.
Creating a standard to guide organisations and SMEs to facilitate compliance for AI implementations reduce the risk of sanctions by regulatory authorities and facilitates confidence that the use being made of AI systems is ethical, moral and legal.
In this way, the new standard will open the door to the competitiveness of European organisations by making AI compliance more efficient. The pillars of the new guidelines standard are:
Converting different regulations and standards into a cloud of requirements.
Consolidate and integrate these requirements into a specific set.
To make the implementation of requirements more efficient.
Reduce the cost and organisational effort of regulation compliance.
Guidance on the management of specific requirements implementation projects.
Reduce and optimise the number of internal and external audits.
My fellowship also contributed to the development of working methodologies in organisations aligned with the objectives of the European AI Office and its ‘Regulation and Compliance’ Unit.
Luca Nannini
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.
AI Accuracy and Robustness Standards: As Editor of EN AI Trustworthiness Framework Part II, my work directly supports European citizens' rights to accurate and robust AI systems. The standard establishes technical requirements ensuring AI systems deployed across the EU meet rigorous accuracy standards and maintain performance across operational conditions, protecting citizens from unreliable algorithmic decision-making in high-risk contexts.
SME Innovation Ecosystem: The editorial leadership through N1106 coordination enables European SMEs to compete effectively in AI markets by providing clear compliance pathways rather than costly regulatory uncertainty. This supports innovation while ensuring responsible AI deployment protecting European citizens.
European Leadership in Global AI Governance: The editorial role positions European values-based approaches to AI accuracy and robustness for global influence. The framework embeds principles of reliability, trustworthiness, and accountability into technical specifications that influence international AI standardization discussions.
Consumer Protection Framework: The cross-WG coordination through N1106 ensures AI standards address consumer concerns around system reliability, performance consistency, and safety while remaining technically implementable. This balance protects European consumers while supporting technological advancement and maintaining Europe's competitive position in global AI markets.
Titusz Pan
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.
Isabel Barbera
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.
Fabio Massimo
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.
Adrian Byrne
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.