Aleksandr Tiulkanov
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.
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 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 decentrFralised 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.