While AI’s potential is limitless, so are its risks. There remain concerns about accuracy and data bias in AI models, which could widen health care gaps. To address this, facilities must invest in training tools to read diverse datasets, set governance guidelines, and enable cross-functional teams that address both the tech and ethics sides of development.