Artificial Intelligence

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IEEE - WG-CSDG - Working Group for Child and Student Data Governance

This standard is designed to provide organizations handling child and student data governance-oriented processes and certifications guaranteeing the transparency and accountability of their actions as it relates to the safety and wellbeing of children, their parents, the educational institutions where they are enrolled, and the community and societies where they spend their time, both on and offline. It is also designed to help parents and educators, with an understanding that most individuals may not be tech-savvy enough to understand underlying issues of data usage, but still must be properly informed about the safety of their children's data and provided with tools and services that provide proper opportunities for content based, pre-informed choice regarding their family's data.

Landscape of Artificial Intelligence Standards
P7004 - Standard on Child and Student Data Governance
Artificial Intelligence
IEEE
Working group

Inclusion and Application Standards for Automated Facial Analysis Technology

The standard provides phenotypic and demographic definitions that technologists and auditors can use to assess the diversity of face data used for training and benchmarking algorithmic performance, establishes accuracy reporting and data diversity protocols/rubrics for automated facial analysis, and outlines a rating system to determine contexts in which automated facial analysis technology should not be used.

Landscape of Artificial Intelligence Standards
Artificial Intelligence
IEEE
Standard
P7013

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.

Landscape of Artificial Intelligence Standards
Artificial Intelligence
OASIS
Standard
http://docs.oasis-open.org/legaldocml/akn-core/v1.0/os/part1-vocabulary/akn-core-v1.0-os-part1-vocabulary.pdf

Emilia Tantar

Fellow's country
Luxembourg
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.
Linkedin Profile
Emilia Tantar, PhD
Open Call
OC#7 2026
Organisation type
SMEs
Organization
Luxembourg House of Cybersecurity
Organization website
Luxembourg House of Cybersecurity
Personal website
ORCID
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
convenor
Standards Development Organisation
CEN/CENELEC
StandICT.eu Year
2026
Topic (7th Open Call)
Artificial Intelligence

Luis Moran Abad

Description of Activities

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

Fellow's country
Spain
Open Call Topics
Artificial Intelligence
Impact on SMEs (7th Open Call)
The AI-Compliance initiative aims to develop a new standard to help European organisations, especially SMEs, comply with complex AI-related laws, regulations and standards. This new standard will be especially valuable for small and medium-sized enterprises (SMEs) because these organisations often lack the internal resources, specialised staff, and structured processes necessary to implement regulatory environments.
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.
Impact on SMEs (9th Open Call)
European small organisations (SMEs) and very small organisations (VSMEs) do not have the experts or economic resources to hire specialised AI consultants on compliance, so they must postpone the application of AI in their businesses. This generates a new delay in their innovation gap. The main opportunity for SMEs-VSMEs is their incorporation to a future AI-Compliance collectives: sectorial cluster type, laboratory of a City Hall and other potential movements of knowledge collectivisation.
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.
Impact on society (7th Open Call)
The European Union can push its values and ethics in AI without fear of crippling economic development by having a new standard to help with regulatory compliance. For the EU, it is primarily about finding ways to seize the opportunities offered by AI in a way that is human-centred, ethical, safe and consistent with our core values as Europeans.
Impact on society (9th Open Call)
A new standard supports consolidating, integrating and optimising regulatory requirements and make compliance audits more efficient will be essential for the development of AI in Europe, and thus of European industry and welfare. This new standard will enable European organisations to leverage the full potential of AI while ensuring compliance with the various mandatory requirements. In doing so, this standard will enhance the competitiveness of European organisations.

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.

Linkedin Profile
LinkedIn Profile
Open Call
OC#7 2026
OC#9 2026
Organisation type
Other
Portrait Picture
Luis Moran
Proposal Title (7th Open Call)
AI-Compliance: Artificial Intelligence Compliance Enabler new standard Guidelines and Work Model
Proposal Title (9th Open Call)
AI-Compliance: Proof of Concept and Refinement of the AI compliance guidelines standard
Standards Development Organisation
UNE
StandICT.eu Year
2026
Year
2025
Topic (7th Open Call)
Artificial Intelligence
Topic (9th Open Call)
Artificial Intelligence

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
Spain
Open Call Topics
Artificial Intelligence
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.
Linkedin Profile
LinkedIn Profile
Open Call
OC#7 2026
OC#9 2026
Organisation type
IT Consultancy/Development
Organization
Piccadilly Labs
Organization website
Website
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
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Online references related to the fellowship work
Standards Development Organisation
CEN/CENELEC
ISO
StandICT.eu Year
2026
Year
2025
Topic (7th Open Call)
Artificial Intelligence
Topic (9th Open Call)
Artificial Intelligence

Titusz Pan

Description of Activities

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.
Fellow's country
Germany
Open Call Topics
Artificial Intelligence
Impact on SMEs (7th Open Call)
My soft binding standardization initiative benefits European digital ecosystems by reducing implementation costs by using open identification standards, enhancing competitiveness through interoperable content management and freeing from proprietary identification systems.
Impact on society (7th Open Call)
Also it impacts the society by enhancing digital sovereignty through decentralized verification, improving trust infrastructure resilience to misinformation and improving content provenance verification. This establishes foundational technological infrastructure for content authenticity in generative AI without compromising on European values of transparency and centralized control structures.
Linkedin Profile
LinkedIn Profile
Open Call
OC#7 2026
Organisation type
Not for Profit Organisation
Organization
ISCC Foundation
Organization website
Website
Portrait Picture
Titusz Pan
Proposal Title (7th Open Call)
ISCC - TR on Soft Bindings
Standards Development Organisation
ISO
StandICT.eu Year
2026
Year
2025
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