The AI Act (AIA) is a landmark EU legislation to regulate Artificial Intelligence based on its capacity to cause harm. Like the EU’s General Data Protection Regulation (GDPR), the AIA could become a global standard, determining to what extent AI can have an effect on our lives wherever we might be. The AI Act is already making waves internationally. In late September, Brazil’s Congress passed a bill that creates a legal framework for artificial intelligence.

By offering a large number of highly diverse resources, learning platforms have been attracting lots of participants, and the interactions with these systems have generated a vast amount of learning-related data. Their collection, processing and analysis have promoted a significant growth of machine learning and knowledge discovery approaches and have opened up new opportunities for supporting and assessing educational experiences in a data-driven fashion.

In the past, machine learning and decision-making have been treated as independent research areas. However, with the increasing emphasis on human-centered AI, there has been a growing interest in combining these two areas. Researchers have explored approaches that aim to complement human decision-making rather than replace it, as well as strategies that leverage machine predictions to improve overall decision-making performance.