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Challenge - overlapping lexicons and unfamiliar languages, a challenge that is particularly strong in high CTD MTSs, with teams coming from different disciplinary backgrounds. Tech can help here in two ways:
Could build a library of potential disconnects, perhaps even in direct communication between people coming from different functional backgrounds, so that the tech (AI here, really) can predict when something might get misinterpreted, and highlight that and give what the term means to the person sending the message. *
In a group meeting, it can listen in and pop up the meaning of difficult words or acronyms, or yin-yang words that could mean different things to different people there *
How would machines learn from After Action Reviews?
How effectively can leaders engage in perspective-taking for machines? How readily can they communicate with machines, and tell them to realign? Would they need boundary-spanners (i.e., programmers who would serve as "translators"), adding a layer between human and machine?