Identify the advantages of machine learning relative to evaluating complex health problems related to acquiring health insurance. Identify the potential limitations of machine learning used by health insurance companies based on the data that health insurance companies access to build their algorithms. Analyze implicit or explicit biases in the algorithms used by AI programs designed by health insurers. Explain the role of consumer editing, reviewing, or updating of information used by health insurance companies to make decisions about coverage. Explain how providers of healthcare (e.g., physicians, nurse, practitioners, therapists, pharmacists) play a role in quality assurance related to the use of health insurance machine learning algorithms.