Over the past decade, artificial intelligence (AI) has gone from a subject of science fiction to something many Americans interact with daily. Movie recommendations from your streaming service, spam filters, and fitness trackers all rely on AI, and these uses have become so routine and noncontroversial that most users may not think much about the technology behind them. Healthcare is a different story. Public willingness to accept AI in healthcare settings depends heavily on what AI is actually being asked to do. Polling data archived in the Roper Center for Public Opinion Research's iPOLL database suggest that Americans are more open to AI handling routine administrative tasks than taking part in medical diagnosis or treatment decisions. Defining what is being measured Before explaining findings from the data, it is worth being precise about what this project aims to measure. Research about patient perceptions often focuses on dependent variables like trust in the healthcare system, satisfaction with care received, or how personalized and attentive that care feels. The iPOLL database, however, contains several surveys on a somewhat different yet highly relevant topic in today's healthcare environment: willingness to accept the role of AI in healthcare. At its core, this project explores how the public responds to three different roles for AI in healthcare: handling administrative tasks, serving as a source of health information, and participating in medical diagnosis or treatment decisions.