Practical applications of AI in the test development cycle: How to ensure valid and fair certifications at scale

I.C.E. Exchange Program Description : Your test content is your essential IP asset. Creating, maintaining, and continually evolving test content is the key to valuable programs that validly and fairly verify skills. The challenge is doing so at scale with limited resources and without reducing test quality.

This session will illustrate how the responsible and innovative application of AI at key junctures of the testing cycle can transform the workload of SMEs and ensure the quality and fairness of tests. This includes creating AI-generated items based on specific training or learning material, flagging potential bias risks and suggesting revisions, or analyzing items in bulk to ensure they’re always fit-for-purpose.

This session aims to support certification providers in creating valid and fair items using the practical application of AI to deliver impactful learning at scale without overloading their SMEs or reducing the quality of their output.