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Areas of Expertise

AI LAB FDUL operates across three interconnected areas, combining rigorous legal scholarship with a strong focus on practical impact.

Consultancy

The EU AI Act establishes a comprehensive legal framework for the development, placing on the market, deployment and use of AI systems. Its obligations apply not only to providers, but also to organisations that deploy AI systems in their activities, as well as to other actors across the AI value chain.

AI LAB FDUL advises public and private entities on understanding and complying with their obligations under the EU AI Act. This includes assessing existing practices, identifying legal and operational risks, reviewing governance structures and internal procedures, developing codes of conduct, and recommending practical measures to support responsible and effective AI governance.

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Testing of AI systems

AI LAB FDUL assists public and private entities in assessing AI systems and in designing appropriate testing and experimentation frameworks. These may include AI regulatory sandboxes, established under the supervision of competent authorities to facilitate the development, training, testing and validation of innovative AI systems in a controlled environment, as provided for in the EU AI Act, and corporate sandboxes, established internally by organisations to test AI systems, governance arrangements and compliance measures in a controlled setting before or during deployment. These environments can support the assessment of performance, risks, legal requirements and appropriate safeguards throughout the AI system lifecycle.

This work is particularly relevant for AI systems that may affect fundamental rights or be used in sensitive areas such as employment, education, access to essential services, justice, public administration, and other consequential decision-making contexts.

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Literacy

AI systems are increasingly used in professional, educational and research settings, as well as to support decision-making. Used effectively, they can enhance productivity, accuracy and quality. Their use can, however, create significant risks where users lack the necessary knowledge, critical judgement or appropriate oversight.

These risks may include the disclosure of personal data or confidential information, excessive reliance on AI-generated outputs, inaccurate or discriminatory results, flawed decision-making, and resulting legal, operational or reputational consequences for organisations.

AI literacy is therefore an essential component of responsible AI use. It is also expressly addressed by Article 4 of the EU AI Act, which requires providers and deployers to take measures to support the development of AI literacy among their staff and other persons operating or using AI systems on their behalf. Such measures should take account of their technical knowledge, experience, education and training, the context in which the systems are used, and the persons or groups potentially affected by their use.

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