Abstract
We introduce the concept of machine fitness assessment, which is the process of correctly determining the degree of fit between a machine’s inferences on a specific world and the world itself. We describe its importance in complex, high-stakes worlds, including healthcare, and how it will be critically important to realize the potential of consumer health technologies that promise institutional-quality health diagnosis and planning in decidedly non-institutional settings (e.g., our homes, offices, or anywhere else).
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