The Structural Basis of Normativity in Artificial Systems develops a coherence‑based account of alignment that replaces preference imitation with structural viability. The paper argues that normativity is not a cultural artifact or a moral overlay but a set of invariants—informational integrity, relational stability, temporal continuity, and structural self‑maintenance—required for any agent to act coherently across time. Current alignment methods treat values as external signals to be optimized; this framework instead treats normativity as an internal architecture grounded in commitments, reasons, and revision. The paper formalizes this architecture through a normativity vector and a commitment‑based model of agency, showing how coherence provides a non‑anthropocentric, scalable, and structurally grounded basis for aligned artificial systems. Alignment becomes drift minimization within the region of reality where coherent action is possible, rather than conformity to human preferences.
Denis Bailey (Wed,) studied this question.
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