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AI Security Literacy: Ecosystem-based Competency Framework and K-12 Learning Platform

Eric Yocam, Varghese Mathew Vaidyan, Paris Kalathas · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.28859 · cited by 0 works (OpenAlex) · open-access PDF

German

Die Annahme von künstlicher Intelligenz in K-12-Schulen hat die Anleitung für Studenten, Lehrer und Administratoren übertroffen. Bestehende KI-Literaturrahmen betonen Verständnis und Nutzung; Cybersicherheitsrahmen gehen vor KI-spezifischen Bedrohungen und definieren weder KI-Sicherheitsliteratur als Kompetenzdomäne auf eigene Faust. Wir schlagen einen sechsdimensionalen AI-Sicherheitsliteraturrahmen (AISL) vor, der das Schulökosystem umfasst, seine technischen Dimensionen in öffentlichen KI-Sicherheitsbenchmarks und einer reproduzierbaren Multi-Seed-Adversarial-Bewertung begründet und seine Einstellungsdimensionen in national repräsentativen Umfrage-Microdaten von US-Lehrern und Erwachsen

Machine translation (Meta M2M100); the English original follows.

Abstract

Adoption of artificial intelligence in K-12 schools has outpaced guidance for students, teachers, and administrators. Existing AI-literacy frameworks emphasize understanding and use; cybersecurity frameworks predate AI-specific threats, and neither defines AI security literacy as a competency domain in its own right. We propose an AI Security Literacy (AISL) framework of six dimensions spanning the school ecosystem, ground its technical dimensions in public AI-safety benchmarks and a reproducible multi-seed adversarial evaluation, and ground its attitudinal dimensions in nationally representative survey micro-data from U.S. teachers and adults. Only 34.5% of teachers report a school AI policy, and teachers see their own AI use as easing their work but students' use as complicating it; on the technical side, a reported robustness figure depends as much on the attack and the particular trained model as on the system evaluated. NeuralFortify, a browser-based K-12 platform built on real AI models, is presented as an illustrative operationalization.

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Topics: Adversarial system, Robustness (evolution), Computer science, Literacy, Domain (mathematical analysis), Work (physics)

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