This guide demonstrates effective strategies for ensuring validity, reliability, and fairness in test development using AI, implying responsible implementation.
We propose a practical guide for using generative AI in test development and calibration, targeting challenges related to validity, reliability, and fairness by linking each issue to specific guidelines that promote responsible, effective implementation.
No takes yet. Share an insight, caveat, or question.
Suárez‐Álvarez et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: