To tap the full potential of artificial intelligence, not only do we need to understand the decisions it makes, these insights must also be made applicable. This is the aim of the new book "xxAI - Beyond Explainable AI”, edited by Wojciech Samek, head of the Artificial Intelligence department at the Fraunhofer Heinrich Hertz Institute (HHI), and Klaus-Robert Mueller, professor of machine learning at the Technical University of Berlin (TUB) and director at BIFOLD. The publication is based on a workshop held during the International Conference on Machine Learning in 2020. Co-editors also include AI experts Andreas Holzinger, Randy Goebel, Ruth Fong and Taesep Moon. It is already the second publication by Samek and Mueller.

Our brains have multiple maps that are needed to plan our movements, navigate our environments, and perceive the world through our senses. The brain maps of our visual world have been studied with greatest detail and provide an opportunity to understand how other brain maps form, organize and function.

Direction-selective neuron subtypes detect complex motion patterns and not uniform directions of motion