OC#2 2029

My activity focuses on the domain of the Internet of Things (IoT) and explores its application in various strategic sectors such as eHealth, Industry 4.0, Intelligent Transportation Systems, Smart Cities, and Smart Grids. These domains align with development priorities at the European level. IoT technologies are increasingly being deployed in diverse and resource-constrained environments. Cost constraints are driving manufacturers to select hardware that delivers performance tailored to the specific requirements of each use case, particularly in large-scale public applications (e.g., energy systems and urban infrastructure). In this context, the ability to assess and guarantee Quality of Service (QoS) according to the intended system usage is becoming critical. While such mechanisms are being addressed at the network level in 5G—and are anticipated in 6G—QoS considerations remain largely unaddressed at higher software layers, particularly within IoT systems.

The European Union can push its values and ethics in AI without fear of crippling economic development by having a new standard to help with regulatory compliance. For the EU, it is primarily about finding ways to seize the opportunities offered by AI in a way that is human-centred, ethical, safe and consistent with our core values as Europeans.

A new standard supports consolidating, integrating and optimising regulatory requirements and make compliance audits more efficient will be essential for the development of AI in Europe, and thus of European industry and welfare. This new standard will enable European organisations to leverage the full potential of AI while ensuring compliance with the various mandatory requirements. In doing so, this standard will enhance the competitiveness of European organisations.

In this way, the new standard will open the door to the competitiveness of European organisations by making AI compliance more efficient. The pillars of the new guidelines standard are:
Converting different regulations and standards into a cloud of requirements.
Consolidate and integrate these requirements into a specific set.
To make the implementation of requirements more efficient.
Reduce the cost and organisational effort of regulation compliance.
Guidance on the management of specific requirements implementation projects.
Reduce and optimise the number of internal and external audits.
My fellowship also contributed to the development of working methodologies in organisations aligned with the objectives of the European AI Office and its ‘Regulation and Compliance’ Unit.

For European societies, the project addresses ethical AI concerns like bias and transparency, ensuring responsible adoption in domains like healthcare, law, and education.

For European society, we foster ethical, transparent AI integration in sectors like healthcare, governmental services and justice. By involving diverse stakeholders, we ensure solutions address real needs, safeguard rights, and reflect EU values. Our approach supports innovation while reinforcing public trust in AI, making deployment more inclusive and impactful across communities.

This initiative helped position WG 6 as an essential platform at the crossroads of AI and linguistic standardization. It supported Europe’s role in leading the development of valuedriven digital standards aligned with ethical principles, interoperability needs, and the goal of a multilingual digital space. For European societies, the TR encourages trustworthy and ethical AI adoption by addressing issues like explainability, data quality, and inclusiveness. It supports transparency and linguistic accuracy in domains such as healthcare, public services, and education, aligning with core European values and fostering public trust in AI-driven tools.

Since the addressed existing or to be developed standards enable particularly semantic interoperability across the IoT, they also provide cross domain and cross-vendor IoT semantic interoperability for exchanging data with common understanding of its meaning. This will become increasingly important as greater quantities of data are generated and shared across the IoT. It opens new market opportunities in the domains of e.g. Healthcare, Smart Grid, Smart Metering, Intelligent Transport Systems, Industrial Automated Systems, and Smart Cities, which depend on collecting and processing data. With that, it directly supports the strong European goal of the “digital single market”.