This introductory work aims to provide members of the Test and Evaluation community with a clear understanding of trust and trustworthiness to support responsible and effective evaluation of AI systems. The paper provides a set of working definitions and works toward dispelling confusion and myths surrounding trust.
Suggested Citation
Razin, Yosef S., and Kristen Alexander. “Developing AI Trust: From Theory to Testing and the Myths in Between.” The ITEA Journal of Test and Evaluation 45, no. 1 (March 31, 2024). https://itea.org/journals/volume-45-1/developing-ai-trust-from-theory-to-testing-and-the-myths-in-between/.