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A consensus report produced for the Air Force Research Laboratory by theNational Academies of Sciences, Engineering, and Mathematics documented aprevalent and increasing desire to support human-Artificial Intelligence (AI)teaming across military service branches. Sonalysts has begun an internalinitiative to explore the training of human-AI teams. The first step in thiseffort is to develop a Synthetic Task Environment (STE) that is capable offacilitating research on human-AI teams. We decided to use Joint All-DomainCommand and Control (JADC2) as a focus point for developing the STE because thevolume of sensor inputs and decision options within the JADC2 concept likelyrequires the use of AI systems to enable timely decisions. Given this focus, weengaged a number of Subject-Matter Experts (SMEs) with Command and Controlexperience to gain insight into developing a STE that embodied the teamingchallenges associated with JADC2. This report documents our initial engagementwith those stakeholders. The research team identified thirteen Sonalystsemployees with military backgrounds and Command and Control experience, andinvited them to participate. Twelve respondents completed the survey. The teamthen analyzed the responses to identify themes that emerged and topics thatwould benefit from further analysis. The results indicated that our SMEs wereamenable to research using tasks that were analogous to those encountered inmilitary environments, as long as they required teams to process a great dealof incoming data to arrive at complex decisions. The SMEs felt that the testbedshould support 'teams of teams" that represented a matrixed organization, andthat it should support a robust array to spoken, text-based, and face-to-facecommunications.

Improving the State of the Art for Training Human-AI Teams: Technical Report #1 -- Results of Subject-Matter Expert Knowledge Elicitation Survey