Responsible AI capability diagnostic

How ready is your organisation to apply the METI AI Guidelines responsibly?

Based on METI Japan's AI Guidelines for Business (v1.2, 2026), this capability check helps Japanese organisations evaluate whether they can adopt, govern and operate AI responsibly and effectively. It turns the guidance into a practical assessment across governance, capability building, safe operations, human-centred values, transparency and human oversight.

Why assess your METI AI Guidelines readiness?

AI adoption can move faster than governance, workforce capability and operational controls. Without a structured view, leaders may not know who owns AI decisions, whether staff understand their responsibilities, whether systems have been tested for safety and bias, or whether people can challenge an AI-influenced outcome. This check converts the METI guidance into clear capability areas so gaps can be identified before they become incidents, compliance concerns or barriers to trusted adoption.

Who is this capability check for?

It is designed for executives, AI governance owners, risk and compliance leaders, information security teams, legal and privacy professionals, technology leaders, product owners and operational managers in Japanese organisations. It is especially useful where AI use is expanding and the organisation needs a shared, evidence-based view of readiness rather than disconnected policies or assumptions.

What does the METI AI Guidelines Capability Check assess?

The assessment covers 15 capabilities across five connected groups. Together, they test whether responsibility is clear, people and processes can adapt, AI systems are safe and trustworthy, organisational values are human-centred, and meaningful transparency and oversight are in place.

Governance, Accountability and Executive Ownership

This group looks at whether AI is properly owned and governed. It asks whether senior leaders take responsibility, whether everyone understands their role as developer, provider or user, and whether you have built practical governance tools suited to your own circumstances rather than copied from a generic template.

Securing Executive Responsibility for AI
Clarifying Roles Across Developers, Providers, Users
Tailoring Your Own Governance Checklist

Risk if capability is weak: Unclear ownership leaves AI risks unmanaged and unaccountable.

Capability Building and Continuous Adaptation

This group covers whether your people and practices keep pace with AI. It asks whether staff have practical literacy, whether you are ready for AI agents and physical AI, and whether you review and improve your governance regularly, treating responsible AI as a living practice rather than a one-off exercise.

Building AI Literacy Across Staff
Adapting to AI Agents and Physical AI
Reviewing and Improving AI Governance

Risk if capability is weak: Untrained, unprepared organisations lose control of evolving AI.

Trustworthy and Safe AI Operations

This group examines whether the AI you run can actually be trusted day to day. It covers testing systems for safety and reliability, checking outputs for unfair bias, and protecting the personal data people hand you, so that the technology behaves well under the real conditions you face.

Ensuring AI Safety and Reliability
Preventing Unfair Bias and Discrimination
Protecting Privacy and Information Security

Risk if capability is weak: Unsafe, biased or leaky AI causes serious harm.

Foundational Values and Human-Centred Purpose

This group covers whether your organisation grounds its AI use in the three values at the heart of the Guidelines: human dignity, inclusion and sustainability. It asks whether people, fairness and long-term wellbeing genuinely shape how AI is chosen and applied, rather than being treated as afterthoughts.

Upholding Human Dignity in AI Use
Embedding Inclusion and Fair Access
Pursuing Sustainability Through AI

Risk if capability is weak: Values ignored, AI harms people and undermines society.

Transparency and Human Oversight

This group is about openness and keeping people in control. It asks whether you make AI use visible and explainable, whether a human reviews and can override important decisions, and whether you keep records that let you trace outcomes and show clearly who was accountable when things go wrong.

Maintaining Transparency and Explainability
Keeping Human Judgment Essential
Demonstrating Accountability and Traceability

Risk if capability is weak: Opaque, unchecked AI decisions erode trust and accountability.

What will you get?

✓ A structured readiness view across all 15 METI-aligned capabilities.
✓ Specific blind spots showing where policy, ownership or operational practice may be weak.
✓ Practical recommendations tailored to the capability gaps identified.
✓ A shared basis for executive, governance, security and operational discussion.
✓ A repeatable benchmark for tracking improvement as AI use and guidance evolve.

How does it work?

1 Start — open the capability check with no lengthy preparation or consulting engagement required.
2 Respond — assess structured statements covering governance, people, safety, values, transparency and oversight.
3 Act — review the resulting gaps and recommendations, prioritise action, and re-run the check to measure progress.

How should the results be used?

Use the results as a decision-support tool, not as a substitute for legal advice or formal assurance. The strongest value comes from reviewing the findings with the people who own AI strategy, data, security, risk, compliance and business operations. Agree which weaknesses create the greatest exposure, assign accountable owners, define practical next steps and record evidence of improvement. Repeating the assessment after policy, training or control changes provides a consistent way to see whether capability is genuinely improving.

Frequently asked questions

What is the METI AI Guidelines Capability Check? +

It is a structured diagnostic based on METI Japan's AI Guidelines for Business (v1.2, 2026). It evaluates whether an organisation has the practical capabilities needed to adopt, govern and operate AI responsibly.

Which areas of responsible AI does it cover? +

It covers five groups: governance and executive ownership, capability building and adaptation, trustworthy and safe operations, human-centred purpose, and transparency with human oversight.

Who should complete the assessment? +

Executives and representatives from AI governance, risk, compliance, security, privacy, legal, technology and operations should contribute so the result reflects both policy and day-to-day practice.

Does this assessment prove compliance with the METI Guidelines? +

No. It highlights capability strengths and gaps to support planning and discussion. Formal compliance, legal interpretation or independent assurance may require qualified specialists and additional evidence.

Can the capability check be repeated? +

Yes. Re-running it after governance, training, testing or oversight improvements helps teams compare results and demonstrate progress over time.