AuthenticID , a global leader in identity proofing and fraud prevention solutions, announced its reporting of their ID verification process that demonstrates statistically near zero percent bias for any gender, race, skin color, or age.

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“This includes the ability to have a robust and ethical AI and MLOps governance model to maintain the integrity of all algorithms on an ongoing basis”

Specifically, the results showed a 0.09% variance in false rejection rates, providing AuthenticID clients fairness and equity in their identity verification decisioning.

“The ability to measure algorithmic bias, and ensure that one segment of the population is not being disadvantaged over another, is mandatory for any identity verification process in today’s world,” says AuthenticID CEO, Jeff S. Jani.

The company plans to continue to produce statistical reports each month to monitor algorithmic drift.

“The use of automated Machine Learning and Computer Vision models over the inconsistency and inaccuracy of any human based system is also a mandate for the assurance of societal equity,” says company CTO, Richard A Huber, Jr. “This includes the ability to have a robust and ethical AI and MLOps governance model to maintain the integrity of all algorithms on an ongoing basis,” continues Huber.

This milestone reinforces AuthenticID’s mission for the use of advanced identity technologies in ethical ways that benefit humanity.

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