Electrical Engineering and Computer Science Faculty Publications

Document Type

Conference Proceeding

Publication Title

Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS

Abstract

High-stakes human–AI collaboration is typically evaluated on outcome quality or efficiency. In morally charged domains such as disaster response, however, a key question is whether decisions align with the decision-maker’s core moral values. Research in moral psychology shows that individuals may accept identical outcomes under one framing but reject them under another—signals of value stability, not noise. We propose Value-Recontextualizing Decision Support (VRDS), demonstrated in a wildfire crisis simulation. The system employs Cognitive Value Recontextualiza-tion (CVR), which re-presents decisions under morally intensified framings, and Adaptive Preference Alignment (APA), which clarifies whether contradictions reflect situational reasoning or genuine value change. We hypothesize that value-aligned decisions—even when objectively suboptimal—yield higher user satisfaction and well-being, reframing AI decision support from optimizing outcomes to supporting reflective moral reasoning. © 2026, Florida Online Journals, University of Florida. All rights reserved.

DOI

10.32473/flairs.39.1.141774

Publication Date

2026

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