Artificial Intelligence

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. 

This project should therefore have a positive impact on the ability of SMEs to produce and assess quality NLP systems, and should simplify compliance with the AI Act requirements.

With this fellowship, I am addressing the standardisation of AI systems, with particular focus on the standardisation request of the EU Commission in relation to the AI Act. 

My fellowship contributes to the standardisation on trustworthiness and security of AI generative pre-trained models to establish a robust framework that addresses the escalating concerns surrounding the security risks and privacy implications associated with the development, deployment, and utilisation of these advanced AI models. IEEE P7018, CEN CENELEC