1. Algorithms and data

1.1 Explainability of algorithms

One of the major obstacles to the use of AI lies in the explicability of algorithms, particularly those of complex models such as deep neural networks. These algorithms often operate like "black boxes", making it difficult for users to understand the decisions made by the AI. This opacity poses ethical and practical problems, particularly in sensitive fields such as health or justice, where decisions need to be justified, and engineering, where the results of calculations need to be mastered