Misalignment is a structural phenomenon that appears in both human behavior and artificial systems. In each case, misalignment arises when a system’s orientation or objective diverges from the structure of reality. Although a system may be aligned to preferences, incentives, group norms, or proxy objectives, such forms of alignment do not resolve misalignment; they merely coordinate drift. Only alignment with reality—what is true, stable, and non negotiable—reduces structural tension and produces coherent behavior. This paper presents a unified account of alignment for humans and AI systems. It defines alignment as directional correspondence between orientation, behavior, and reality, and misalignment as the divergence between a system’s trajectory and the actual structure it operates within. The analysis shows that both humans and AI systems drift for analogous structural reasons: underspecified objectives, distorted feedback, and reliance on proxies that fail to track reality. Correction in both cases requires reorientation, not control or coercion. Belonging and participation, in human contexts, and reliable behavior, in AI contexts, emerge only when movement corresponds to what is real. The account clarifies that alignment is not obedience, conformity, or constraint. It is the selection of a direction that matches the underlying structure of the world. This choice cannot be delegated for humans and cannot be assumed for AI systems. Misalignment is common; correction is always possible; but only alignment with reality resolves the underlying condition.
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Denis Bailey
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Denis Bailey (Tue,) studied this question.
www.synapsesocial.com/papers/6996a8d4ecb39a600b3eff8b — DOI: https://doi.org/10.5281/zenodo.18666073