Explanation Consistency as a Trust Signal in Human–AI Teaming
Post-hoc explanation methods such as SHAP and LIME are widely used in human-AI decision support, yet they can produce inconsistent explanations for the same prediction under minor perturbations, changes in background samples, or different random seeds. This instability raises concerns about whether explanations provide...