Skip to main Communities My dashboard Log in Sign up Published April 19, 2026 | Version v1 Preprint Open The Information Conflict Triad: Toward a Unified Governance Framework Integrating AI Weaponization, Fake News Countermeasures, and Cyber Legal Standards Authors/Creators Tsotniashvili, Zaza 1 Show affiliations 1. Caucasus International University Description The intersection of artificial intelligence (AI), disinformation ecosystems, and international cyber law has emerged as one of the defining governance challenges of the twenty-first century. While existing scholarship tends to examine these dimensions in isolation—either focusing on AI as an instrument of information warfare, or on its potential as a counter-disinformation tool, or on the legal frameworks governing cyber conflict—there remains a critical absence of integrated analytical models that capture the dynamic interplay among all three. This article addresses that gap by proposing the Information Conflict Governance Model (ICGM), a triadic framework that synthesises three interconnected dimensions: (1) the operational deployment of AI in active information warfare, examined through the empirical lens of the Ukraine conflict; (2) the AI-enabled counter-disinformation architecture, including detection systems, algorithmic inoculation, and platform governance; and (3) the normative layer of legal and ethical standards that must constrain both offensive and defensive AI operations in cyber conflict. Drawing on the author's prior empirical and theoretical work, as well as contemporary literature in media studies, international law, and AI ethics, the article argues that effective information conflict governance requires coherent cross-layer coordination rather than siloed policy responses. The ICGM is presented as a heuristic instrument for scholars, policymakers, and platform regulators seeking conceptual clarity in an environment of accelerating technological and geopolitical change. Files Files (22.1 kB) Name Size Download all Tsotniashvili_ICGM_Article.docx md5:fc0f27fd40bcdf5e292ddfbe23a81848 22.1 kB Download 61 Views 20 Downloads Show more details All versions This version Views Total views 61 61 Downloads Total downloads 20 20 Data volume Total data volume 442.4 kB 442.4 kB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords artificial intelligence; information warfare; disinformation; fake news; cyber law; algorithmic governance; information conflict; dual-use technology Details DOI DOI Badge DOI 10.5281/zenodo.19654268 Markdown [](https://doi.org/10.5281/zenodo.19654268) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19654268.svg :target: https://doi.org/10.5281/zenodo.19654268 HTML <a href="https://doi.org/10.5281/zenodo.19654268"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19654268.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19654268.svg Target URL https://doi.org/10.5281/zenodo.19654268 Resource type Preprint Publisher Zenodo Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Copyright Zaza Tsotniashvili Citation Export Technical metadata Created April 19, 2026 Modified April 19, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies