The project “Bilateral AI” aims at lifting artificial intelligence (AI) to the next level. Current AI systems are unreliable, opaque, and data- and energy inefficient. Furthermore, in many tasks they lack human common sense and the broad generalization capabilities of humans. Our project will combine two of the most important types of AI which have mostly been developed separately so far: symbolic and sub-symbolic AI. While symbolic AI works with clearly defined logical rules, sub-symbolic AI is based on training a machine with the help of large datasets to create intelligent behavior. This integration, resulting in a Broad AI, is intended to mirror something that humans do naturally: the simultaneous use of cognition and reasoning skills.