Zeyu Tang is a Ph.D. student at Carnegie Mellon University working on trustworthy and responsible AI. He conducts research on causal learning and reasoning to further enhance the capacity of intelligent systems, and machine learning fairness / computational justice to model and understand the social impact of computational technologies. His ultimate goal is to cultivate intelligence that is both safe and principled with the help of causality, so that technology can improve our lives with transparent responsibility and clear purpose. Tang is supported by the National Institute of Justice Graduate Research Fellowship, and the K&L Gates Presidential Fellowship in Ethics and Computational Technologies.