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Author Suzy Broadbent, Jennifer McVay |
| Abstract The In the Moment (ITM) Program considers high stakes decision making when there is no “correct” answer, and how Artificial Intelligence (AI) algorithms can be aligned to individuals’ decision-making criteria to improve trust and likelihood of delegation. Work carried out by in the US identified a number of “Key Decision-Making Attributes” (KDMAs) that may affect an individual’s decision making in the context of Mass Casualty Triage Scenarios. Following successful trials in the US, partnered with in the UK to extend the trial within the UK. Medically trained participants were assessed on their KDMAs during online text scenarios and Virtual Reality scenarios. They were then asked to review decisions made by “another medic” in similar scenarios, rate them on trust, and decide whether or not they would delegate to that particular medic. These medics were in fact Artificial Intelligence algorithms that were either aligned or deliberately misaligned to the participants’ KDMAs. This research demonstrates how AI can be tuned to represent human influences beyond competence and support trusted decision making in complex scenarios and investigates differences in decision making between US and UK participants. |
