Artificial Intelligence

The main priorities of my fellowship are to support the development of two European standards for AI systems, Risk Management and Cybersecurity, which will enable organisations to manage risks and address cybersecurity concerns in alignment with the AI Act.

The s-X-AIPI project endeavour is to research, develop, test, and validate a bespoke suite of trustworthy self-X AI  technologies tailored for process industries. This initiative aims to bridge the gap between AI capabilities and traditional automation processes, ensuring that AI tools are both accessible and effective across various industrial applications.

With the support of this fellowship, I tackle specific bias detection and mitigation requirements with accompanying illustrative example within CEN/CLC/JTC21 WG3 "Concepts, measures and requirements for managing bias in AI systems" standard that are aligned/harmonised with relevant EU AI Act legislation.

 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 work I am leading in European Standardisation through the CEN and CENELEC JTC 21 WG 2, answers directly the main operational pillars of the Standardisation request received from the European Commission as to provide technical specifications through standards (candidate for harmonization) in support of the EU AI Act.

In this fellowship, the main priority 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.

My work to date has been seeking to promote trustworthiness through fundamental rights protections in European harmonised technical standards concerning AI,  in particular JTC21.

My fellowship focuses on researching the feasibility of developing an international (e.g. ISO) standard for deploying Artificial Intelligence (AI) in climate action, culminating in a Technical Report following consultation with chairs of relevant ISO technical committees. 

Artificial Intelligence (AI) is a key component of the Rolling Plan for ICT standardisation, supporting the European Commission’s Standardisation Request issued to back the AI Act. My contribution is aligned with the objectives of the AI Key Enablers, particularly in the areas of Cybersecurity in AI and the Data Economy.

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.