BABL AI’s Bias Audits Spotlighted in ACLU Repository

A comprehensive repository of bias audits in New York City has shone a spotlight on the impactful work of BABL AI. The repository, accessible on GitHub and written by the ACLU, serves as a crowd-sourced public tracker list, specifically cataloging bias audits of Automated Employment Decision Tools (AEDTs) released by employers in compliance with NYC’s Local Law 144, commonly known as the NYC Bias Law. This legislation specifically targets AEDTs, defined as processes employing machine learning, data analytics, statistical modeling, or AI to generate scores, classifications, or recommendations.

For companies seeking clarity on whether they require a NYC Bias Audit, BABL AI encourages reaching out. The team of Audit Experts at BABL AI is well-equipped to address questions related to compliance with this regulation and more.