Assessing Algorithmic Influence In Military Education

This article argues that AI-mediated cadet/officer training is not ethically neutral but functions as a normative training environment that shapes attention, incentives, and moral reasoning. Drawing on a virtue-ethics distinction between simulated virtue (ethically correct-looking outputs and rule compliance) and internalised virtue (phronesis-based judgment under pressure), it describes how AI training ecosystems pre-structure ethical perception through data, interfaces, feedback, and assessment signals.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-12
DOI
https://doi.org/10.5281/zenodo.20617392
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Assessing Algorithmic Influence In Military Education

Milán Mór Markovics
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Assessing Algorithmic Influence In Military Education

Milán Mór Markovics
article en

Abstract

This article argues that AI-mediated cadet/officer training is not ethically neutral but functions as a normative training environment that shapes attention, incentives, and moral reasoning. Drawing on a virtue-ethics distinction between simulated virtue (ethically correct-looking outputs and rule compliance) and internalised virtue (phronesis-based judgment under pressure), it describes how AI training ecosystems pre-structure ethical perception through data, interfaces, feedback, and assessment signals.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
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