It takes significant effort, but yes, on the strategic planning side it is often possible to work out why CICERO came up with particular moves or intents. We often did this during development when debugging. You can look at the moves considered by the search for it and its opponents and see what values those achieved in the iterations within the search, and see how the equilibrium evolved in response to those values, you can look at the initial policy prior probabilities, and so on. Not entirely unlike walking through a debug log of how a chess engine explored a tree of possible moves and why it came up with the value it did. In fact, generally with systems that do explicit planning rather than simply running a giant opaque model end-to-end, it's usually possible to reverse-engineer "why" the system is doing something, although it may take a lot of time and effort per position. We haven't tried a human in the loop for choosing moves though. -DW