LifeCycle Transparency: Why, and How, Transparency Information Exchange Should be Distributed throughout the Life of Technology Usage

Abstract

Transparency in automation and AI systems is the ability for the operator to know or see the agent’s working processes to be able to more accurately trust them. The problem is that automation frequently exists to offload an otherwise overly busy human operator. Requiring that operator to process, understand, and evaluate “transparency information” on the automation’s processing in the moment of execution is likely to be too big a task. This panel will explore the need, opportunity, methods and benefits stemming from spreading the transfer of “transparency information exchange” throughout the lifecycle of human–autonomy interaction, thereby taking advantage of best practices in training, pre-mission planning, explanation, and post-mission debriefing, after action reviews and even learning and initial design across organizational stakeholders to reduce the need and resources required to transfer transparency information “in the moment” in frequently high tempo periods of execution.