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Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications

NeurIPS 2025 · Large language models › AI and society · approach: Human-centered trust and agency · 0 citations (OpenAlex)

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Position paper arguing that AI-powered lethal autonomous weapon systems (AI-LAWS) need distinct, technically grounded regulation, proposing a behavior-based two-criterion definition and five policy directions.

Problem

Existing LAWS governance frameworks and definitions do not distinguish modern AI-powered weapon systems, whose risks (brittleness, opacity, drift, escalation) are not addressed by high-level policy, and AI researchers are largely absent from military AI policy discussions.

Approach

Proposes a behavior-based rubric defining AI-LAWS as systems that (1) rely on AI/ML essential to function with AI-specific risks and (2) are involved in semi- or fully autonomous targeting or force application, with or without human oversight, and recommends technically informed policies (nuclear AI ban, international validation standards, ban on AI command of soldiers, clarifying legal status of

Key results

Surprising findings

Limitations

Experimental setup

Baselines: Meaningful Human Control framework Appropriate Human Judgment framework DoD Directive 3000.09 UK 2024 military AI guidance

Builds on: Meaningful Human Control Appropriate Human Judgment DoD Directive 3000.09

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