Patient use of artificial intelligence (AI)-based symptom checkers is increasing, but concerns remain regarding tool validation and appropriate use. This article discusses AI-powered symptom check apps and how implicit and explicit biases (e.g., health literacy, the racial and/or gender breakdown of the underlying data), as well as perceptions about integration in professional practice, can influence effective implementation of these tools.