AI Utilization Guidelines
The AI Utilization Guidelines serve as a practical reference for AI utilization, formulated by the Conference toward AI Network Society in Japan. They establish ten core AI utilization principles covering proper scope, data quality, collaboration, safety, security, privacy, human dignity, fairness, transparency, and accountability. Operating as a non-binding soft law, the document provides detailed commentary and considerations for developers, AI service providers, business users, and consumer users across various phases of AI utilization.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
AI service providers, business users, and consumer users should read this to understand voluntary best practices and considerations for responsibly utilizing AI systems.
What the document contains
The document covers comprehensive practical guidelines for AI utilization, detailing ten core principles and offering commentaries on how diverse stakeholders should manage risks related to safety, security, privacy, and fairness. It maps these principles across the lifecycle phases of AI operations and provides specific considerations for human intervention, data quality, and network collaboration.
The document does not constitute binding legislation or regulations, meaning it lacks statutory enforcement mechanisms or statutory penalties for non-compliance. It also does not require the disclosure of underlying source codes, proprietary training data, or algorithms.
- The guidelines act as a non-binding soft law compilation to encourage voluntary, proper AI utilization and risk mitigation.
- Ten core principles guide stakeholders, spanning from proper utilization and data quality to fairness, transparency, and accountability.
- The scope primarily targets networked narrow AI software and systems that can bring benefits and risks across borders.
- Stakeholders are categorized distinctly into developers, users, AI service providers, business users, consumer users, data providers, and third parties.
- The document outlines specific considerations and flows across planning, building, implementation, deployment, and operation phases.
· Preface · Definition of AI and Scope · 1. Purpose · 2. Basic Philosophies · 3. Classification of Related Entities · 4. AI Utilization Principles · 5. General Flow of AI Utilization · 6. Commentary on the AI Utilization Principles · 7. Timing to Consider the AI Utilization Principles
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
AI service providers and business users are expected to create, publish and notify AI usage policies as described below so that consumer users and others can appropriately recognize the utilization of AI.
6. Commentary on the AI Utilization Principles - 10) Principle of accountability
screening score · 2026-10-23
Fairness
4/5Non-discrimination and equitable treatment
AI service providers, business users, and data providers should pay attention to the possibility of bias inherent in the judgements of AI systems or AI services, and take into consideration that individuals and groups will not be unfairly discriminated against by their judgements.
4. AI Utilization Principles
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
AI service providers and business users should respect the privacy of end users and third parties in the utilization of AI, based on the social context and reasonable expectations of people in the utilization of AI.
6. Commentary on the AI Utilization Principles - 6) Principle of privacy
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
AI service providers and business users are expected to ensure the explainability of the judgment results of AI for the purpose of ensuring the trust of users and to present evidence of AI behavior with consideration of the social context
6. Commentary on the AI Utilization Principles - 9) Principle of transparency
screening score · 2026-10-23
Enforcement
2/5Consequences and compliance mechanisms with real force
Unlike the terms and conditions of laws and regulations, these Guidelines do not have the nature of applying described matters literally, but a compilation of matters that AI users are expected to take voluntarily when using AI.
Preface
screening score · 2026-10-23