Deep Learning and other artificial neural networks in combination with big data have brought a renaissance to AI and led to a torrent of new applications. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and maybe even act on their own. However, the effectiveness of AI systems is still limited in many ways. For example, one of the biggest challenges is that increasingly intelligent machines need to be accountable for their decisions and, ideally, even explain their reasoning to human users. This talk will present an overview of approaches to address these and other current AI problems.