no code implementations • 27 Oct 2022 • Federico Cabitza, Matteo Cameli, Andrea Campagner, Chiara Natali, Luca Ronzio
The shift from symbolic AI systems to black-box, sub-symbolic, and statistical ones has motivated a rapid increase in the interest toward explainable AI (XAI), i. e. approaches to make black-box AI systems explainable to human decision makers with the aim of making these systems more acceptable and more usable tools and supports.