Based on METI Japan's AI Guidelines for Business (v1.2, 2026), this content helps Japanese organisations evaluate whether they have the capabilities to adopt and operate AI responsibly and effectively.
Evaluate whether the organisational capabilities needed for responsible and effective AI adoption are present, understood and supported across leadership, governance, operations and the workforce.
AI adoption can outpace the governance, accountability, safety, transparency and workforce capabilities needed to operate it responsibly. Without a structured view across these areas, Japanese organisations may struggle to see where controls are incomplete, where ownership is unclear, and which capability gaps require attention before AI use expands.
This capability check is for senior leaders, governance owners, technology and AI teams, risk, privacy, security, compliance and people functions in Japanese organisations adopting or operating AI.
The check covers five connected capability groups. Together they examine whether AI use is grounded in human-centred values, clearly governed, operated safely, kept transparent and under human oversight, and supported by continuing learning and adaptation.
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.
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.
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.
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.
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.
You receive a structured assessment view across five capability groups and fifteen named capabilities, helping you identify areas of relative strength, visible gaps and practical priorities for responsible AI capability development.
The diagnostic can support a clearer internal picture of responsible AI readiness. It can help leaders identify where executive ownership needs strengthening, where roles require clarification, where safety, bias, privacy or security controls need closer attention, and where transparency, traceability or human oversight may be insufficient.
It can also focus capability-building discussions on staff AI literacy, controls for AI agents and physical AI, and the regular review of governance practices. The output should be used as a starting point for organisation-specific action, reflecting the supplied content’s emphasis on practical, right-sized governance rather than a generic checklist applied without context.
It assesses fifteen capabilities across five areas: human-centred values, governance and accountability, trustworthy operations, transparency and human oversight, and continuous capability building.
It is designed for Japanese organisations and the leaders and functions responsible for adopting, governing, securing, overseeing or improving the use of AI.
The results can help an organisation build a clearer view of its current capabilities, identify areas that need attention and support focused discussions about responsible AI priorities.
No. The supplied content emphasises tailoring governance tools to an organisation’s actual risks, size and operating context rather than copying a generic checklist.
The capability model keeps human judgement central by examining whether people review important decisions, can intervene and can override AI systems when needed.