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Evidence record 5546 · automatically gathered

Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents

Long-horizon enterprise agents make high-stakes decisions (loan underwriting, claims adjudication, clinical review, prior authorization) under lossy memory, multi-step reasoning, and binding regulatory constraints. Current evaluation reports a single task-success scalar that conflates distinct failure modes and hides whether an agent is aligned with the standards its deployment environment requires. We propose that long-horizon decision behavior decomposes into four orthogonal alignment axes, ea

Record details

Published: 21 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Safety & alignment · Healthcare · Agents & autonomy
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (21 April 2026), “Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents,” evidence record 5546, https://ethics.ai/record/5546 (originally published by arXiv).

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