NIST Study Evaluates Algorithmic Bias

A new NIST study examines how accurately face recognition software tools identify people of varied sex, age and racial background.

Results captured in the report, Face Recognition Vendor Test (FRVT) Part 3: Demographic Effects (NISTIR 8280), are intended to inform policymakers and to help software developers better understand the performance of their algorithms. Face recognition technology has inspired public debate in part because of the need to understand the effect of demographics on face recognition algorithms.

Source: NIST Study Evaluates Effects of Race, Age, Sex on Face Recognition Software | NIST