Artificial intelligence and machine learning promise to revolutionize nearly every field, sifting through massive amounts of data to find insights that humans would miss, making faster and more accurate decisions and predictions as a result. Applying those insights to healthcare could yield life-saving benefits. Given the stakes, however, understanding exactly how these technologies arrive at their conclusions and having assurance guarantees, is critical for adoption in the practice of medicine. The goal of this symposium is to bring together researchers in artificial intelligence, biomedical informatics, machine learning, and clinical practitioners to develop trustworthy AI technology for health care applications. This day-long symposium is co-organized by ASSET, a new Penn Engineering center on Trustworthy AI and IBI, Institute for Biomedical Informatics, housed in Perelman School of Medicine (PSOM). The program will consist of a keynote by Bradley Malin, Vanderbilt University Medical Center, talks by Penn faculty on collaborative research in trustworthy AI for health care (see list of projects here), students’ posters, and a panel.