The Right Time for Bias and Validation Testing for AI is Now
Employers are increasingly using artificial intelligence and other algorithmic tools to support workplace decisions, including recruiting, screening, interviewing, promotion, workforce planning, and performance management. These tools can improve efficiency and consistency, but they also introduce important compliance, reputational, and employee-relations considerations. Two concepts that often arise in AI governance are bias audits and validation testing. Although related, they serve different purposes. A bias audit generally evaluates whether the use of a tool is associated with materially different outcomes across protected or demographic groups. Depending on the jurisdiction and the tool at issue, a bias audit may be legally required before use. For example, New York City’s automated employment decision tool law requires certain employers and employment agencies to obtain a bias audit within one year before using covered tools and to provide related notices and disclosures . And o...