Artificial Intelligence

There is currently no standard addressing the cybersecurity of AI systems. In ISO/IEC JTC1 SC27 WG4  27090 is under development; and I contribute directly to this work.

The AI Act is a European regulation promoting the uptake of human-centric and trustworthy AI, while ensuring protection of health, safety, and fundamental rights. Companies can prove conformity with the AI Act by complying with the 10 harmonised standards drafted by CEN-CENELEC. My fellowship contributes to two harmonised standards supporting the AI Act.

Annegrit's priority is the Convenorship of CEN CENELEC JTC21 WG 5,  the organisation and project support to work on the AI Act standardisation request for Cybersecurity. This includes a close collaboration with other groups within JTC 21, JTC 13, ISO IEC SC 42 and SC 27 to collect all information of existing and work under development. The main challenge is that JTC 21 and also our WG5 has a diverse structure of experts and knowledge, which makes the work, the effort and efficiency very difficult. In this case, the challenge in addition is the collaboration with other existing standardisation groups within JTC 21 as well as with JTC 13 for Cyber Resilience Act, with ETSI and their view, with ISO IEC SC 27 and SC 42.

My fellowship tackles the following gap, the standardisation of clinical information, as clinical information must be standardised to ensure the secure and effective use of language models in electronic health records (EHRs). 

ICT Standards funding enables me to attend JTC21 WG1, WG2, WG3 and WG4 meetings and national commission gatherings of NEN (Dutch standardisation body). For me, as a newcomer to the field of standardisation, attending various international and national standardisation-related meetings is insightful. 

In the context of this fellowship, I have been working solely on ISO/CD 24138, the International Standard Content Code. The ISCC is part of “ISO/TC 46/SC 9 Identification and description”. 

Blockchain technology is poised to play a fundamental role in democratising internet technology, offering decentralised solutions that prioritise transparency, security, and user empowerment.

Overall, I am taking a more holistic view of the AI standardisation roadmap while pursuing in parallel my contributions to specific AI standards in SC 42 and JTC 21.

In this fellowship, I work on the analysis of the Digital Twins (DT) landscape with a focus on the urban domain. We focused on two priority gaps that, once solved, may enable the modelling of complex DT through the exclusive use of the SAREF suite to enhance the interoperable communication between entities composing a DT; and to enable the modelling of time series to represent how a DT evolves through time.

Explainability is critical for ensuring trustworthiness of state-of-the-art AI. Standardising explainability will build consensus on best practices methods that allow developers to build more high-performing systems, provide enhanced end-user experience, and facilitate oversight.

Considering the publication of the AI Act, in the next months a challenge will be given to supporting the application of the EU Regulation with a complete vision of existing standards, giving also some orientations to individuate possible new standardisation requests where needed.

The main priority of my fellowship focuses on helping organisations to drive innovation and technological transformation using the Centre of Excellence (CoE) as the best management mechanism in a context of a shortage of professional profiles with expertise in Artificial Intelligence and other disruptive technologies.