← OSINT Library

Operationalising responsible AI in the military domain: a context-specific assessment

OpenAlex · Herwin Meerveld, Lonneke Peperkamp, Marie Šafář Postma, Roy Lindelauf ·

Executive Summary

The rapid integration of AI into the military domain requires actionable strategies to translate high-level principles of responsible use into practical guidelines. This paper proposes the Military AI Responsibility Contextualisation (MARC) framework, a structured approach for context-specific assessment of responsible military AI. It aims to bridge the gap between abstract principles and operational norms, emphasizing interdisciplinary collaboration for ethical development and deployment.

Why It Matters

This document is crucial for defense and geopolitical analysts as it provides a framework for ethically integrating AI into military operations, addressing critical concerns like accountability, civilian harm, and the laws of armed conflict. It offers a practical approach to navigate the complex ethical landscape of AI in modern warfare, moving beyond abstract principles to context-specific guidelines.

Key Takeaways

  • The MARC framework offers a structured, context-specific approach to operationalize responsible AI principles in military operations.
  • Responsible AI in military contexts requires interdisciplinary collaboration, integrating military operators, ethicists, legal experts, engineers, and AI developers.
  • The framework considers three key dimensions: spectrum of conflict, type of military activity, and operational domain, to tailor ethical assessments.
  • The paper highlights the challenges of applying traditional 'just war' principles to non-kinetic and cyber warfare scenarios involving AI.
  • The authors advocate for an online repository and continuous learning from real-world incidents to refine and update responsible AI guidelines.

Strategic Relevance

The MARC framework provides a critical tool for developing ethical and effective AI strategies in defense, directly impacting doctrine, procurement, and international cooperation on autonomous systems. Its emphasis on context-specific assessment helps mitigate risks of escalation and ensures compliance with international law, which is vital for maintaining strategic stability and legitimacy in an AI-driven battlespace.

Source Website View PDF

Key Entities

Artificial Intelligence (AI)Military AI Responsibility Contextualisation (MARC) frameworkNATONetherlands Defence AcademyTilburg UniversityRadboud UniversityRepublic of KoreaREAIM SummitJust War TheoryCyber Warfare

Best For

Policy MakersMilitary StrategistsAI EthicistsDefense ResearchersInternational Law Experts

Related Themes

AI in WarfareMilitary EthicsInternational LawAutonomous Weapons SystemsCybersecurity PolicyStrategic CompetitionFuture of Warfare

Get the week's most relevant defense documents

Subscribe to our free newsletter to receive curated OSINT reports, analysis, and strategic updates directly in your inbox.

Join the briefing Subscribe