CEN/CENELEC

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Information technology - Security techniques - Guidelines for identification, collection, acquisition and preservation of digital evidence (ISO/IEC 27037:2012)

The standard defines the specific guidelines for the management of digital data which are the identification, collection, acquisition and preservation of digital evidence that can be of probative value. This standard provides guidance to individuals regarding common situations encountered during the processing of digital data and assists organizations in their disciplinary procedures and in facilitating the exchange of potential digital evidence between jurisdictions.

EN ISO/IEC 27037:2016

Information technology - Security techniques - Code of practice for information security controls (ISO/IEC 27002:2013 including Cor 1:2014 and Cor 2:2015)

The standard provides guidelines for the security standards of organizational information and information security management practices, including the selection, implementation and management of controls, taking into account the risk environment for the security of the organisation information.

EN ISO/IEC 27002:2017

Decentralised Identity Management Model based on Blockchain and other Distributed Ledgers Technologies — Part 1: Generic Reference Framework

The proposed standard will specify a reference architecture for decentralised identity management, optionally enabled by distributed ledger technology (DLT) and blockchain systems. The reference architecture aims to natural persons and legal entities and addresses concepts, cross-cutting aspects, architectural considerations, and architecture views, including functional components, roles, activities, and their relationships with blockchain and DLT. Technical specifications of the legal identity itself and specifically those of official identity documents issued by competent authorities are outside the scope of this standard, since they are regulated based on its own legislation and technical standards. Likewise, this standard does not aim to define specifications that are within the scope of REGULATION (EU) No 910/2014 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 23 July 2014 on electronic identification and trust services for electronic transactions in the internal market and repealing Directive 1999/93/EC, currently in force, but to support the Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL amending Regulation (EU) No 910/2014 as regards establishing a framework for a European Digital Identity (COM/2021/281 final, eIDAS 2 Proposal), which includes the provision by Member States of EU Digital Identity Wallets as an enabler for personal identification and qualified trust services, including the issuance of qualified electronic attestations of identity attributes. The standard does not aim to impose any device identification procedure before third parties, without prejudice of any wallet authentication capability required by the eIDAS 2 Proposal. The standard will meet at least the following criteria: - it is technologically neutral; - it is compatible with other relevant international standards on digital identity, such as ISO/IEC 24760, - it is applicable to identity attributes of natural persons, legal entities and things, - the application of this standard allows compliance with current privacy and personal data protection regulation, when appropriate, - it is aligned with the relevant provisions of the eIDAS 2 Regulation proposal, - it enables the deployment of practical, usable, flexible and cost-efficient decentralised identity management systems, - it takes into account the specific needs of small and medium-sized enterprises (SMEs); and, - it is suitable for use in business-to-business relationships with individuals and legal entities.

CEN/CLC/TS XXXX JT019002

Emilia Tantar

Fellow's country
Impact on SMEs (7th Open Call)
A clear, actionable EN AI Conformity Assessment standard makes compliance with the EU AI Act far easier and less costly for smaller companies. With a coordinated set of standards instead of a fragmented landscape, SMEs save time, reduce legal uncertainty, and avoid investing in multiple overlapping compliance tools. This streamlined approach supports faster product deployment, lowers administrative burden, and enables SMEs to build trustworthy AI solutions that meet European requirements from day one.
Impact on society (7th Open Call)
A unified set of AI conformity standards strengthens public trust in how AI systems are developed, assessed, and deployed. By making risk management transparent and consistent, these standards help ensure that AI used in critical domains is safe, fair, and reliable. A coordinated framework also enables early detection and mitigation of societal risks, fostering a resilient AI ecosystem where innovation happens responsibly and benefits reach citizens, public services, and the broader European economy.
Open Call
Organisation type
Organization
Luxembourg House of Cybersecurity
Portrait Picture
Emilia Tantar
Proposal Title (7th Open Call)
Progress and lead deliver to enquiry of EN AI Conformity assessment and supporting standards
Role in SDO
Standards Development Organisation
StandICT.eu Year
2026
Topic (7th Open Call)

Luca Nannini

Description of Activities

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.

Fellow's country
Open Call Topics
Impact on SMEs (7th Open Call)
I believe that this work helps reduce compliance uncertainty and costs for SMEs. Technical coherence across the standards framework simplifies implementation for organizations with limited resources. My contributions to the QMS standard particularly focus on ensuring requirements are scalable and accessible to SMEs developing AI systems (i.e. being able to show SMEs how standard interrelating is valuable and would solve burdens related to understanding how requirements across different standards flow).
Impact on SMEs (9th Open Call)
The editorial leadership of EN AI Trustworthiness Framework Part II directly supports European SMEs through Articles 62-63 AI Act provisions for SME assistance. The standard provides SMEs with clear, pre-endorsed technical specifications for meeting AI Act accuracy and robustness requirements, reducing compliance costs and legal uncertainty. The harmonization documentation coordinated through editorial work enables SMEs to achieve presumption of conformity through standardized approaches rather than expensive individual assessments.
Impact on society (7th Open Call)
The work on the AI Trustworthiness Framework (particularly enhancing requirements for transparency and human oversight) ensures standards effectively support the protection of fundamental rights as required by the AI Act. This strengthens societal safeguards against potential harms from AI systems.
Impact on society (9th Open Call)
I can see several societal impacts with the engaged standadisation activities:
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.
Organisation type
Organization
Piccadilly Labs
Portrait Picture
Luca Nannini
Proposal Title (7th Open Call)
Technical Contributions to WG2 & WG4's Draft Standards through Annex ZA and hEN Checklists
Proposal Title (9th Open Call)
Co-editing AI Trustworthiness Framework prEN 18229 and coordinating across JTC21 Working Groups
Standards Development Organisation
StandICT.eu Year
2026
2029
Year
Topic (7th Open Call)
Topic (9th Open Call)

Isabel Barbera

Description of Activities

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.

Fellow's country
Open Call Topics
Impact on SMEs (7th Open Call)
The standards I am working on—covering AI risk management and cybersecurity—are intended to be applicable across organizations of all sizes. It is essential to consider the needs and capacities of SMEs during the development process to ensure the standards are practical, proportionate, and not overly burdensome.
Impact on society (7th Open Call)
The development of European AI standards is critical to safeguarding European values in the age of digital transformation. The proposed activity will significantly impact European interests by providing a framework that ensures AI systems operating in Europe are safe, compliant and trustworthy. By addressing the gaps in risk management, cybersecurity, and trustworthiness, the standards developed will support regulatory frameworks like the AI Act, enabling industries to align with legal and technical requirements while fostering innovation.
Open Call
Organisation type
Organization
Rhite
Portrait Picture
isabel barbera
Proposal Title (7th Open Call)
Expert contribution on Artificial Intelligence at CEN/CENELEC JTC21
Standards Development Organisation
StandICT.eu Year
2026
Year
Topic (7th Open Call)

Adrian Byrne

Description of Activities

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.

Fellow's country
Open Call Topics
Impact on SMEs (7th Open Call)
My contribution provides SMEs with an illustrative example and accompanying requirements to detect and mitigate bias in AI systems using tabular data. This contribution will assist AI providers and deployers with the detection and mitigation of unwanted bias and thereby assist them in complying with the EU AI Act and protecting fundamental rights.
Impact on society (7th Open Call)
My contribution addresses a current lack of detail regarding the detection and mitigation of unwanted bias accruing due to (high-risk) AI systems. As such, my contribution helps AI providers and deployers evaluate situations where bias may be a concern as well as help comply with the EU AI Act (Article 10) and protect fundamental rights.
Open Call
Organisation type
Organization
CeADAR Ireland
Portrait Picture
adrian byrne
Proposal Title (7th Open Call)
Contribution to “Concepts, measures and requirements for managing bias in AI systems”
Standards Development Organisation
StandICT.eu Year
2026
Year
Topic (7th Open Call)