Kate Grant
Identifying standardisation gaps and creating road maps is essential for ensuring technology development addresses key problem areas.
Identifying standardisation gaps and creating road maps is essential for ensuring technology development addresses key problem areas.
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.
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.
In the transversal aspects in data spaces, there is a lack of guidance on the integration of security and privacy, and it is crucial to develop this further as it is a barrier for compliance with regulation (e.g. CRA, AI act).
This fellowship allows me to take part to all meetings concerning Cybersecurity, Privacy and Artificial Intelligence (even most are very early or very late in the day, as per rules for scheduling in SDO's), whilst being able to keep delivering standard based consulting especially for SMEs which need to comply for ISO 27001 certifications mostly.
My work supports the development of smart energy grids, allowing to integrate a high share of renewable energy sources and to support new usages such as transports electrification (e-mobility).
The result of my current fellowship is a gap analysis and technical report including advice to all relevant major SDOs on how to develop or change their standards to fit better together. The JWG will also lay the foundation for producing an international reference architecture for LDT:s aligned with the international reference architectures for Digital Twins, IoT and Smart Cities among others.
This work is addressing the demand of harmonised standards for radio regulations certification. In particular it is addressing RFID in the UHF frequency bands 865-868 and 915-921 MHz.
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.
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.
The expected impact of the project is to provide stakeholders with a certification as defined in article 42 of the GDPR, thus improving trust between actors in a context of PII processing.