Detection mechanisms to identify data biases and exploratory studies about different data quality trade-offs for AI-based systems

This deliverable is based on the outcomes of Task 31 and Task 32 It presents an analysis of different AI model behaviors that are obtained when machine learning is trained over distributed and federated infrastructure