Skip to content
Conference Open access

Epistemic Responsibility in AI-Enabled Societies: Ethics and Policy in the Era of Information Warfare

2026 · E3S Web of Conferences · Vol 735, pp. 03002 · 0 citations · 16 references

TL;DR

By combining a formalized measure of epistemic integrity – via the Epistemic Integrity Index (EII) – with this normative framework, the paper bridges philosophy, ethics, and policy, offering a new model for understanding and regulating AI’s role in the epistemic dimension of modern conflict.

Abstract

Artificial intelligence (AI) is fast changing civilian and military practice. Although the discussions of AI ethics often address issues of bias, fairness, and/or autonomous weapons, this paper suggests that the epistemic domain is the most urgent problem. Algorithmic manipulation and disinformation, as a kind of epistemic war, account to new ways of war discourses in the context of AI-enabled societies, where the possibility of responsible agency is put at risk. The main argument is that epistemic responsibility has to take priority over technological control in both ethics and policy. The paper shall then propose a new policy orientation that is based on principle of epistemic jus in bello : the principle of knowledge-based justness in warfare. This truth is that the integrity of knowledge environments is ethically no lesser urgent than defending civilian lives during kinetic conflict. By combining a formalized measure of epistemic integrity – via the Epistemic Integrity Index (EII) – with this normative framework, the paper bridges philosophy, ethics, and policy, offering a new model for understanding and regulating AI’s role in the epistemic dimension of modern conflict.

Read PDF

Similar papers

Open access Aug 2026

Beyond Consequentialist Ethics

In order to live well in an AI-based society, designing technically ethical systems, in the spirit of consequentialism, is not enough; rather, it is essential to cultivate citizens who, as AI users, are endowed with virtues and, first and foremost, the virtue of prudence.

Josep Del-Hierro-Dies, J. Sánchez-Cañizares · 0 citations
Open access Jul 2026

Prudential rights for strategically capable AI

It is argued that for advanced AI systems deployed in high-stakes environments the more urgent question may be prudential and strategic, and there is a threshold of evidential and strategic risk beyond which it becomes rationally justified to adopt norms of treatment that include constraints on coercion, deletion, and instrumental use.

Ognjen Arandjelovíc · 0 citations
Jul 2026

MORAL RESPONSIBILITY AND HUMAN VALUES IN THE AGE OF ARTIFICIAL INTELLIGENCE: AN AFRICAN PHILOSOPHICAL ANALYSIS OF NATION BUILDING

It is suggested that ethical reflection on AI in Africa must remain oriented toward the fragile work of nation building, and responsible technological adoption depends less on perfecting accountability structures than on sustained moral attention to how technologies quietly reorganize relationships, shift public values, and redistribute the conditions for living together.

Nwamu Chukwudi Charles · 0 citations
Review Open access Jul 2026

Artificial Intelligence Governance and the Future of Human Societies: Dignity, Meaning and Civilizational Responsibility

The Anthropological, Spiritual and Civilizational (ASC) Framework is proposed as a diagnostic heuristic for extending trustworthy AI toward dignity, truth, social justice and humane futures, which requires future empirical and expert validation.

Carlos Alberto Echeverría Mayorga, Marta Irene Flores Polanco, José Miguel Esperanza Amaya · 0 citations
Aug 2026

Artificial Intelligence and Command Responsibility Under the Rome Statute: Reassessing Knowledge and Effective Control

The expanding role of artificial intelligence in military decision-making poses interpretive challenges for command responsibility under Article 28 of the Rome Statute. Existing scholarship has largely addressed this problem through international humanitarian law and the so-called ‘accountability gap’, leaving its implications for international criminal responsibility underexplored. This article argues that artificial intelligence does not render command responsibility obsolete but requires a more context-sensitive application of its two central elements: knowledge and effective control. It proposes that the ‘should have known’ standard under Article 28(a) be interpreted to encompass risk awareness of AI system limitations, and that effective control extend to the organisational and technological conditions governing AI deployment. These reinterpretations are integrated within a layered model of responsibility operating across operational, command, and institutional levels. The distinction between Article 28(a) and 28(b) also acquires particular significance in AI-enabled contexts, where civilian decision-makers play a growing role in AI procurement.

Md. Sariful Islam · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.