Explaining Artificial Intelligence with Tailored Interactive Visualisations KU Leuven
The rise of "big data" and artificial intelligence (AI) in countless application domains comes with tremendous opportunities, but also entails challenges concerning transparency and controllability. Well-performing AI models are often "black boxes," which means that understanding how they establish outcomes is hard or even infeasible. Researchers in explainable AI (XAI) therefore develop algorithm-centred and human-centred methods that try to ...