Join us on Friday for Health Policy Biothics Consortium!
Black-box medicine—the use of opaque computational models to make care decisions—has the potential to shape health care by improving and aiding many medical tasks. For example, IBM Watson for Oncology is a machine-learning system that intends to help clinicians quickly identify essential information in patients’ medical records and explore treatment options for 13 cancers. However, it has only recently emerged that the recommendations Watson for Oncology gave for cancer treatments were “often incorrect” and that IBM kept this defect secret for over a year. What are the ethical and legal issues of black-box medicine? When do algorithms operate like a “black box“? How can we ensure that artificial intelligence technologies deliver what they promise? Read More