Skip to content

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

Aug 2026 · International Criminal Law Review · 0 citations

TL;DR

This article 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.

Abstract

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.

View source

Similar papers

Book 2026

Artificial Intelligence in Contract Formation

The concept of the “meeting of the algorithms” is introduced as a modern alternative to the conventional “meeting of the minds,” emphasising how AI-driven contracts differ from human-based ones.

María L. Mena-Durán · 0 citations
Open access 2026

Agentic Artificial Intelligence and Public Administration: Analysis of Managerial Impact

The analysis shows that the transition from traditional digital administration to agentic organizations may prove operational efficiency, support data-driven decision-making and enable more adaptive public ser-vices, and highlights the importance of institutional readiness, human-on-the-loop supervision, transparent go...

Roxana Sârbu, Florin Dobre, Ion Pârgaru et al. · 0 citations
Conference Aug 2026

Liability as a Requirement: Allocating Civil Responsibility for Agentic AI Systems

The proliferation of agentic artificial intelligence (AI) systems autonomous, goal-directed agents capable of acting with minimal human oversight, has exposed fundamental inadequacies in existing civil liability frameworks. Traditional tort, product liability, and custodian regimes struggle to accommodate systems whose...

Emma Lunardi · 0 citations
#explainable ai Review Sep 2026

From responsibility gaps to meaningful human control: an ethical and regulatory governance framework for intelligent AI systems

The study demonstrates how MHC can be translated from an ethical principle into governance practice and shows that meaningful control depends not only on human involvement in decisions, but also on defined purposes and boundaries, operational procedures for review and correction, legal safeguards, and institutional cap...

Tak-Ming Yu, Xia Zheng, Hoi-Kuen Ng · 0 citations
Review Open access Jul 2026

The Philosophy of Global Artificial Intelligence Governance: A Deceptive Illusion?

The feasibility of the risk-based “Brussels Effect” within the EU framework is examined, and Türkiye’s systemic position, as a long-standing member of the Council of Europe and the 38-member OECD, will be evaluated in terms of legal regulations and at the theoretical level.

Karaman Zerrin Toprak · 0 citations
Open access Jul 2026

COMPLIANCE THEATRE: RETHINKING EVALUATION AND ENFORCEMENT IN FRONTIER AI REGULATION

Faced with the prospect of an anthropocentric ceiling to efforts to understand frontier AI systems, a new paradigm for lawmakers is proposed, Sentinel Governance, grounded in governance-oriented innovation and experimentation to supplement human oversight of AI.

Matt Bartlett · 0 citations

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