A Battery for AI Propensity Measurement: Rubrics, Synthetic Item Banks, and Annotations

Researchers have introduced an evaluation battery comprising 28 behavioral propensities for artificial intelligence research, incorporating expert-written rubrics, synthetic datasets, and annotated demand intervals grounded in psychometric and behavioral frameworks.

This work introduces psychometric behavioral measurement tools into AI benchmarking, allowing organizations to characterize model tendencies beyond narrow capability metrics. Adopting standardized behavioral constructs facilitates more consistent evaluation of model alignment and operational predictability.

The framework establishes a battery of 28 generic propensities grounded in psychological, psychometric, and behavioral research to assess AI and human behavior.

Forward consideration, not a verified fact.