The rise of generative AI provides researchers with the ability to rapidly create novel stimuli that can be used to measure a variety of constructs. This paper adopts the perspective of psychometric scale development and offers guidance on how to best implement this process to derive estimates of these quantities of interest that are both valid and reliable. Specific attention is paid to applications relevant for discrete choice experimentation.
