Work

Assessing Algorithmic Influence In Military Education

Year: 2026

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20617392

Author: Markovics, Milán Mór

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7163999307

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