Human or AI Advice? Examining Trust, Influence, and Responsibility in Ethically Charged Human-AI Team Decision-Making

Beau G. Schelble, Christopher Flathmann, Heba Aly, Joseph B. Lyons, Nathan McNeese, University of Tennessee, Clemson University, South Carolina, University of Houston, Air Force Research Laboratory

Journal of Cognitive Engineering and Decision Making

Published online on March 20, 2026

Abstract

Journal of Cognitive Engineering and Decision Making, Ahead of Print.
AI systems are rapidly being placed in positions where they can directly influence decisions that require a strong consideration of ethics. This article reports on an experiment in which humans worked with a teammate acting as an expert advisor with ...