Decision-OS V14: Beyond Safe Stopping — Closure Ownership, Burden Horizons, and Resource Justice in Long-Horizon AI Operation

Decision-OS V14: Beyond Safe Stopping examines a failure that can remain after an AI system correctly returns HOLD or BLOCK: the remaining work required for closure may still be externalized to the human. The paper introduces Closure Ownership and Burden Horizon as operational concepts for long-horizon human–AI work. It distinguishes final human decision authority from execution responsibility and closure responsibility, and argues that a safe stop is operationally incomplete when evidence preservation, cleanup, recovery, reconciliation, or restart preparation are silently returned to the human. V14 develops this problem through the broader principle of Resource Justice: avoidable operational burden should be reduced only while task quality, actionable judgment visibility, and the human’s practical ability to intervene are preserved. The paper does not claim to invent handoff, provenance, cognitive offloading, role assignment, or compensation after failure. Its contribution is narrower: safety evaluation should follow burden beyond the immediate stop decision through closure and restart. This formal paper develops the V14 research line from earlier Resource Justice and joint-layer research notes, and connects that line to field observations from Decision-OS V13 without retroactively reclassifying those earlier results.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-03
DOI
https://doi.org/10.5281/zenodo.23113148
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
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Decision-OS V14: Beyond Safe Stopping — Closure Ownership, Burden Horizons, and Resource Justice in Long-Horizon AI Operation

Shinichi Nagata
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
preprint

Decision-OS V14: Beyond Safe Stopping — Closure Ownership, Burden Horizons, and Resource Justice in Long-Horizon AI Operation

Shinichi Nagata
preprint en

Abstract

Decision-OS V14: Beyond Safe Stopping examines a failure that can remain after an AI system correctly returns HOLD or BLOCK: the remaining work required for closure may still be externalized to the human. The paper introduces Closure Ownership and Burden Horizon as operational concepts for long-horizon human–AI work. It distinguishes final human decision authority from execution responsibility and closure responsibility, and argues that a safe stop is operationally incomplete when evidence preservation, cleanup, recovery, reconciliation, or restart preparation are silently returned to the human. V14 develops this problem through the broader principle of Resource Justice: avoidable operational burden should be reduced only while task quality, actionable judgment visibility, and the human’s practical ability to intervene are preserved. The paper does not claim to invent handoff, provenance, cognitive offloading, role assignment, or compensation after failure. Its contribution is narrower: safety evaluation should follow burden beyond the immediate stop decision through closure and restart. This formal paper develops the V14 research line from earlier Resource Justice and joint-layer research notes, and connects that line to field observations from Decision-OS V13 without retroactively reclassifying those earlier results.

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
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Decision-OS V14: Beyond Safe Stopping — Closure Ownership, Burden Horizons, and Resource Justice in Long-Horizon AI Operation — Shinichi Nagata · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS