Bias and Validation Testing for Artificial Intelligence

Employers are increasingly relying on AI and algorithmic tools for hiring, promotion, and performance management.
Bias audits evaluate if AI tools produce different outcomes across protected groups and may be legally required in some jurisdictions.
Validation testing assesses whether AI tools accurately predict job success and are job-related, important when challenged.
Employers should perform bias audits and validation testing before deploying AI tools influencing employment decisions.
Reassessment of AI tools is needed when modified, used in new roles, applied in different jurisdictions, or when workforce/data changes.
A robust AI governance program includes inventory of tools, risk-based pre-deployment review, oversight, documentation, and periodic reevaluation.
Employers should thoroughly vet third-party tools, consider the context of use, and avoid relying solely on vendor claims about fairness and accuracy.

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