Tom Zahavy is a PhD student at the Faculty of Electrical Engineering at the Technion - Israel Institute of Technology. His research focuses on developing Artificial Intelligence (AI) algorithms that learn to make decisions, particularly through reinforcements. To do so, Tom uses artificial neural networks (ANNs) – computational models that are used, for example, in Google Translate and Facebook’s face recognition algorithm. ANNs are large and complex models; researchers know how to train them but lack the tools to understand how they work, thus they are considered as “black boxes”. To address this problem, Tom has developed tools to visualize and analyze the AI brain, allowing researchers to see the world through AI “eyes” and helping humans understand how AI “thinks”.