  How much are we to trust a decision made by an AI algorithm? Trusting an
algorithm without cause may lead to abuse, and mistrusting it may similarly
lead to disuse. Trust in an AI is only desirable if it is warranted; thus,
calibrating trust is critical to ensuring appropriate use. In the name of
calibrating trust appropriately, AI developers should provide contracts
specifying use cases in which an algorithm can and cannot be trusted. Automated
explanation of AI outputs is often touted as a method by which trust can be
built in the algorithm. However, automated explanations arise from algorithms
themselves, so trust in these explanations is similarly only desirable if it is
warranted. Developers of algorithms explaining AI outputs (xAI algorithms)
should provide similar contracts, which should specify use cases in which an
explanation can and cannot be trusted.
