From Global Principles to Model Control – AIGN Turns G7 AI Commitments into Technical and Organizational Practice
In 2023, the G7 nations launched the Hiroshima Process, resulting in the first international Code of Conduct for advanced AI systems, including General-Purpose AI (GPAI), Large Language Models (LLMs), and autonomous multi-agent architectures.
The goal: ensure trustworthy, secure, and human-aligned development and use of foundation models, across both public and private sectors.
While the Code defines what should be done, organizations now face the challenge of how to implement these principles — especially across fast-moving, high-risk AI systems.
That’s where the AIGN AI Governance Framework delivers.
AIGN bridges technical risk and governance infrastructure with operational tools for managing agentic behavior, hallucination risks, and foundation model traceability.
…including LLMs such as GPT, Claude, Mistral, or multi-agent decision systems in public infrastructure.
especially across fast-moving, self-improving, or API-integrated AI ecosystems.
What Is the G7 Hiroshima Process?
The Hiroshima Process outlines international safeguards for advanced AI, focusing on:
- Responsible development and deployment of foundation models
- Traceability, transparency, and oversight
- Prevention of harm, misuse, and systemic bias
- Security, robustness, and incident response
- Human oversight and accountability
Its Code of Conduct emphasizes 13 commitments, including:
- Risk-based approach to AI development
- Identification and mitigation of misuse risks
- Protection against hallucinations and synthetic content abuse
- Transparency to users and regulators
- Auditability, explainability, and redress mechanisms
The G7 Code also lays the groundwork for interoperability with the EU AI Act and U.S. NIST RMF principles.
How the AIGN Framework Implements the G7 Code
| G7 Principle | AIGN Module | Delivered Capability |
|---|---|---|
| Foundation Model Risk Governance | Agentic Risk Assessment Tool (ARAT) | Model scoring for autonomy, misalignment, drift, and misuse |
| Hallucination & False Output Control | Trust Scan, Hallucination Detection Layer | Detect misleading outputs and flag synthetic content risks |
| Traceability & Auditability | Lifecycle Templates, Logging Infrastructure | Documented input-output flow, model versions, training origins |
| Responsible Release & Redress | Escalation Matrix, Pre-Deployment Checklist | Pre-launch validation and public complaint response pathways |
| Oversight & Transparency | Explainability Toolkit, Role Mapping, Governance Playbooks | Human-in-the-loop control, regulator-ready documentation |
Why AIGN Makes the G7 AI Code Actionable
The G7 Code is clear in principle. AIGN makes it real in execution.
- Model Accountability Infrastructure – Tools to govern models post-deployment, not just pre-launch
- Agentic Risk Scoring – Classify models by autonomy level, output risk, and update frequency
- Red Teaming Templates – Structured adversarial testing for foundation model vulnerabilities
- Misuse Prevention Protocols – Built-in safeguards for jailbreaking, abuse, and impersonation
- Governance for LLM Integrators – Not just for model developers, but for all downstream users
Unlike narrow risk tools, AIGN’s governance architecture enables coordinated oversight across both model development and downstream applications.
Who Should Use AIGN for G7 AI Code Alignment?
| Organization Type | Why AIGN Is Relevant |
|---|---|
| Foundation Model Developers | Implement risk governance, release control, and incident infrastructure |
| LLM-Based Application Builders | Trace and manage risks inherited from upstream models – Includes those deploying APIs like OpenAI, Cohere, or open-source models in regulated use cases. |
| Government & Regulatory Bodies | Set governance baselines and auditing standards for GPAI use |
| Critical Infrastructure Operators | Validate robustness and red teaming for embedded LLMs or agent systems – including airports, energy systems, and defense-sensitive decision architectures using GPAI. |
| Multistakeholder Consortia | Create governance overlays across providers, deployers, and civil society |
What You Gain with AIGN + the G7 Hiroshima Process
| Benefit | Strategic Outcome |
|---|---|
| Risk Visibility | Identify model-level risks before public release |
| Misalignment Control | Govern autonomy, drift, and goal divergence |
| Hallucination Detection | Protect users from misleading or toxic outputs |
| Incident Readiness | Detect, contain, and escalate critical AI failures |
| Regulatory Confidence | Prove G7 code alignment through audit-ready structure |
| Pre-deployment Control | Validate release gates before public availability |
Ready to Operationalize the G7 AI Code of Conduct?
- Run an Agentic Risk Assessment for Your Model
- Map Your Deployment Against G7 Commitments
- Book a GPAI Governance Strategy Session with AIGN
From intention to implementation – AIGN enables foundation model governance that’s trustworthy, scalable, and certifiable.
From model architecture to accountability architecture – AIGN turns GPAI guidance into daily governance.