Markus Krebsz
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
Regarding CEN/TC264/WG41, we are making hasty progress to a draft document early 2026 with the aim to issue a standard.
CEN/TC 442 is leading the publication of standards on digital construction, also referred as “building information modelling” BIM.
Chair of CEN/ TC 442 WG2 Project Group 1
It aims to develop technical specifications and standards to efficiently manage terminology work ensuring seamless information exchange, minimizing misunderstandings, and enhancing both human-human and human-AI interactions.
The standards being developed should cover the requirements of the full range of stakeholders (including users, affected bystanders and manufacturers etc) over the complete lifetime of the product.
This is a project with ISO/IEC JTC 1/SC 27/WG 5 addressing Identity Management and Privacy Technologies. It feeds into broader standardisation activity around digital identity (including the EUDI Wallet), child protection, prevention of exploitation and abuse, data minimisation, privacy preservation and security objectives.
My fellowship tackles the gap related to the insufficient models for achieving analysis-ready geo data.
The ongoing contributions to the Biometric System-on-Card related interindustry ISO/IEC standards address the following three key aspects: bridging definition gaps, enhancing clarity and consistency, and prioritising practical applicability.
With this work, I focus on enabling collaborative ecosystems and models among ICT stakeholders that allow energy saving and a positive environmental and societal footprint, bridging use case workflow and ecosystem design in a way that allows data-driven collaboration and performance increments.
The number of devices in these areas vastly outnumbers the number of human beings and this area is almost unprotected, which could have detrimental effects on our society. It is the hope that the project could be one way to enable a broader cybersecurity protection.
The focus of this fellowship is to provide additional practices, guidance and information, for identifying, analysing, evaluating and treating societal concerns and ethical considerations of AI.