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Top facial recognition algorithms to be biased, NIST study

News | Digital Identity, Security & Online Fraud | 24 Dec 2019

The National Institute of Standards and Technology (NIST) has found ‘empirical evidence’ that characteristics such as age, gender, and race impact accuracy for most algorithms.

facial recxognition, biometrics, BIAS, ethnicity, Rekognition, Amazon, NIST