Human-AI Decision Making

Trust is a convenient word. Too convenient, really. In business meetings, people say they “trust the analyst,” “trust the model,” “trust the expert,” or “trust the dashboard,” as if trust were a stable property sitting neatly inside the decision-maker. Then the actual decision arrives, with a deadline, a performance table, a projected loss, and someone quietly asks the AI assistant which source to follow. ...

Payment sounds like the boring part of a user study. Recruit participants. Estimate task time. Set a base rate. Add a small bonus if the budget allows. Put the number in the methods section, preferably somewhere readers can skim past with dignity. Then move on to the interesting material: trust, reliance, explanations, fairness, error rates, cognitive load, and all the other variables that make human–AI decision-making sound like a serious field rather than a procurement spreadsheet. ...