Q1: What are potential sources of bias that may explain NIST’s findings? Should there be
limitations placed on the use of facial recognition technology based on your assessment
of NIST’s study?
Source of images: “All came from operational databases provided by the State Department, the
Department of Homeland Security and the FBI.”
Uneven Training data?
Unequal sampling?
Q2: Facial recognition technology is becoming ubiquitous to access phones, computers, US
taxes, etc. For the application of facial recognition technology in healthcare, what are
some unique considerations that developers/policymakers/scientists should
acknowledge/apply?
Data privacy?
Potential data theft
Q3: To what extent are patients, providers (e.g., clinicians, hospitals, health systems), payers
(e.g., insurers, employers), and policymakers (e.g., healthcare and insurance regulators,
state Medicaid directors) aware of the inclusion of variables based on race/ethnicity in
healthcare algorithms and algorithm-informed decision tools?
Payment issues
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