Behavioral finance
Mis-pricing due to non-rational decision making and market inefficiencies offer arbitrage opportunities that an intelligent agent would try to exploit. But an AI that is aware of the trust asymmetries across its operational space is also able to compare intrinsic fragilities, even if the distribution of problematic events are not directly observable. In Taleb and Douady formulation, the risk measure assumes certain extrapolation rules that have first-order consequences, and these consequences are even more amplified when the risk measure applies to a variable that is derived from the one used for estimation -- when the relation between the two variables is strongly nonlinear. For (predictive) navigational purposes, the agent asks whether people (or other AIs) have found a path of least resistance (evidence of trust asymmetry) and what is its associated trustability. This aspect is modeled using Forrester dynamics, and it captures the response to changes satisfying both system modeling and risk modeling.