Recognition Before Authority: What AI Should and Should Not Do in the First Minutes of a Working Incident

Position paper (Version 1.0, October 27, 2026) on limits of AI authority in hazardous-incident response. Argues AI should improve the commander’s recognition under incomplete information—Display, then bounded Recommend—while strategy, interior commitment, and withdrawal stay with command. Inputs labeled known / inferred / unknown / unsupported. No claim of field-validated safety outcomes. Author: Dan Deppert, Co-Founder & CTO, HazNetix. Canonical URL: [haznetix.ai/insights/recognition-before-authority](https://haznetix.ai/insights/recognition-before-authority)

Authors

Publication Details

Journal
Open Science Framework
Published
2026-10-27
DOI
https://doi.org/10.17605/osf.io/kv8gd
Primary Topic
Military Strategy and Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Recognition Before Authority: What AI Should and Should Not Do in the First Minutes of a Working Incident

Dan Deppert
2 links
Open Science Framework
Military Strategy and Technology
article

Recognition Before Authority: What AI Should and Should Not Do in the First Minutes of a Working Incident

Dan Deppert
article en

Abstract

Position paper (Version 1.0, October 27, 2026) on limits of AI authority in hazardous-incident response. Argues AI should improve the commander’s recognition under incomplete information—Display, then bounded Recommend—while strategy, interior commitment, and withdrawal stay with command. Inputs labeled known / inferred / unknown / unsupported. No claim of field-validated safety outcomes. Author: Dan Deppert, Co-Founder & CTO, HazNetix. Canonical URL: [haznetix.ai/insights/recognition-before-authority](https://haznetix.ai/insights/recognition-before-authority)

Open Science Framework
Openalex Percentile: Top 18%
Military Strategy and Technology
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Recognition Before Authority: What AI Should and Should Not Do in the First Minutes of a Working Incident — Dan Deppert · Open Science Framework (2026) | TGRS Research Map | TGRS