Contextualizing End-User Needs: How to Measure the Trustworthiness of a AI System.

As potential applications of artificial intelligence (AI) continue to expand, the question remains: will users want the technology and trust it? How can innovators design AI-enabled products, services, and capabilities that are successfully adopted, rather than discarded because the system fails to meet operational requirements, such as end-user confidence? AI’s promise is bound to perceptions of its trustworthiness. This blog post explores leading research and lessons learned to advance discussion of how to measure the trustworthiness of AI so warfighters and end users in general can realize the promised outcomes.