What it include
The project
The project combines traditional and innovative teaching methods to enhance participant engagement and active learning. Teaching strategies include:
Case-based Learning
This method engages participants in solving real-world AI governance challenges. Theoretical discussions are complemented by simulated legal case studies on AI-related issues, mainly focusing on the selected case studies. Participants collaborate in identifying regulatory gaps and proposing legal solutions based on the problem-solving and Challenge-Based Learning (CBL) methodologies.
Adaptive Learning
The content and format of educational activities are tailored to the participants’ expertise levels, ensuring accessibility and effectiveness.
Interdisciplinary Teaching
The project emphasises the participation of legal and technical experts alongside practitioners from industry, public administration and civil society.
By implementing this structured concept methodology, ReCEPL4STAI contributes to the sustainable and trustworthy development of AI in the EU, ensuring alignment with EU values and regulatory frameworks and disseminating EU studies also outside Europe.