Smart But Not Moral? Moral Alignment In Human-AI Decision-Making
Abstract
In high-stakes AI-supported decisions, considerations are not purely technical but involve moral judgments about fairness, responsibility, and harm. While prior research has focused mainly on functional or behavioral alignment, this paper argues that moral alignment may be a more fundamental dimension of human-AI decision-making. Moral alignment is defined as the perceived congruence between the values embedded in an AI system's decision logic and the moral intuitions of stakeholders. Building on Moral Foundations Theory, the paper adopts a multi-stakeholder perspective and highlights why moral (mis)alignment matters for the meaningful integration of AI in sensitive contexts.
Cite
@article{arxiv.2604.14371,
title = {Smart But Not Moral? Moral Alignment In Human-AI Decision-Making},
author = {Christiane Ernst and Luis Gutmann and Domenique Zipperling and Kathrin Figl and Niklas Kühl},
journal= {arXiv preprint arXiv:2604.14371},
year = {2026}
}
Comments
Accepted at the TREO Forum of the European Conference on Information Systems 2026