DELIBERATION FRAMEWORK · NAIROBI 2027

Strengthening Capability for Human Agency Building Capability, Assurance and Responsibility for Peace and Security

The theme of REAIM 2027 establishes human agency as the central governance pillar for military artificial intelligence, advancing the REAIM process from shared principles and pathways towards practical implementation across three mutually reinforcing pillars.

FORMAL CONCEPT NOTE DEFINITION

Definition of Human Agency

“The practical ability to understand a system, judge its capabilities and limitations, determine the conditions for its use, question or reject its outputs and intervene when necessary.”
1. Foundational Capability & Capacity

Directly caters to the initial emphasis on capability and capacity. Ensures countries at diverse stages of technological, compute and institutional development can participate equitably and govern systems with genuine sovereign authority.

2. Comprehensive System Assurance

Human agency encompasses rigorous testing, evaluation, validation and continuous monitoring (TE&M) to verify that AI models are safe, reliable, fair, transparent and strictly compliant with applicable international law including IHL.

MUTUAL REINFORCEMENT PRINCIPLE

“The three pillars are mutually reinforcing, with Capacity and Capability enabling responsible adoption, AI-assisted decision-making demonstrating responsible application and assurance, safeguards and responsibility providing the frameworks and assurance necessary to sustain responsible use.”

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PILLAR 01

Capacity and Capability

Developing capability across compute, data, talent, models and use cases to enable equitable participation across the AI value chain.

Effective governance of AI in military requires that states have the technical, institutional and human capacity to evaluate, procure, deploy and oversee these technologies. Pillar 1 addresses foundational capability:

  • Compute & Infrastructure: Access to computational power, secure environments and resilient infrastructure.
  • Data Governance & Sovereign Repositories: High-quality, representative and secure training datasets.
  • Human Talent & Education: Training military operators, legal advisers, technical engineers and policy specialists.
  • Knowledge Exchange: Multilateral research collaborations, technology-sharing partnerships and South-South exchanges.
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PILLAR 02

AI-Enabled Decision Making and Human Control

Examining practical uses of AI in military contexts with strict emphasis on meaningful human control and situational awareness.

Pillar 2 addresses operational integration, ensuring that artificial intelligence systems function reliably as decision-support tools rather than autonomous decision-makers:

  • Meaningful Human Control: Guiding system execution strictly through human intent and operational situational awareness.
  • Defined Operational outcomes: Context-appropriate applications with clear constraints on autonomous functionalities.
  • Information Integrity: Ensuring systems work on verified, timely and unbiased operational intelligence.
  • Command Oversight: Sustaining informed human judgement at every critical stage of military execution.
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PILLAR 03

Assurance, Safeguards and Responsibility

Establishing policy, legal, regulatory and oversight mechanisms to guarantee human accountability and compliance with international law.

Pillar 3 focuses on accountability, verifiable safeguards and ethical oversight throughout the AI lifecycle:

  • Command Responsibility under IHL: Upholding moral agency and legal accountability under applicable International Humanitarian Law.
  • Procurement Assurance: Clear supplier information requirements, rigorous testing and independent evaluation access.
  • Incident Learning: Multilateral protocols for reporting anomalies, post-incident reviews and risk mitigation.
  • Confidence-Building Measures: Transparency protocols that enhance strategic stability among participating states.
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