OC#1 2026

A significant challenge for European industrial plants is ensuring reliable connectivity and interoperability among wireless devices. RPL has been developed to specifically address these challenges.

I estimate that digital identities, and the way to ensure appropriate levels of assurance and handling of corresponding credentials, are key for the digital society.

Since graph database technology is a key for meaningful and explainable machine learning and generative AI, it is evident that the GQL standard will have positive impact on applications in our societies.

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.

These standards will guide SMEs in effectively implementing and benefiting from the advancements in interactive and multimodal AI, ensuring positive integration into their operations and business strategies.

While there are standards describing processes for considering ethical and social concerns in product and service development, such as AI systems, no standard currently addresses the competencies of individuals tasked with implementing these processes in various organisational types.

The draft EU AI Act (including both sets of amendments) lays down significant requirements for logging and record keeping in AI systems.

Harmonised cybersecurity standards for AI systems need to be developed and adopted, as a matter of urgency, for the benefit of the European industry, including SMEs and startups, as well as European users and consumers.

By optimising design, production, deployment and operation of PV, AI can maximise energy generation, leading to increased renewable energy adoption, reducing reliance on fossil fuels.

My work supports AI trustworthiness characteristics such as robustness, human oversight, accuracy, cybersecurity, and transparency (all those are requirements from the AI Act).

In addressing secure AI with the broad interpretation of security to include safety and societal aspects as above TC SAI will engage with EU and other regulatory bodies to ensure that the output supports relevant global, regional, and national requirements.

Developing a standard specifically tailored to AI-based network applications in cellular networks would provide a unified framework, promoting consistency, compatibility, and efficient utilisation of resources.