Principle-Code for Protection of intellectual property and transparency for the appropriate use of generative AI
This draft document establishes a principle-code using a comply-or-explain approach for generative AI developers and providers. It aims to balance technological advancement with intellectual property protection and transparency. Businesses are expected to publish transparency measures, respect IP rights, and respond to specific disclosure requests from rights holders and users.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Generative AI developers and providers should read this to understand their transparency and intellectual property disclosure obligations.
What the document contains
The document covers transparency measures regarding usage models and learning data, intellectual property protection requirements for AI development and web crawling, and formal disclosure mechanisms for rights holders and users under a comply-or-explain framework.
The text does not specify binding legal penalties or formal enforcement mechanisms, relying instead on a comply-or-explain approach, market evaluation, and voluntary publication.
- The document establishes transparency and intellectual property protection principles for generative AI businesses using a comply-or-explain methodology.
- Generative AI developers and providers are expected to publish usage models, learning data details, and accountability measures on their corporate websites.
- Businesses must not infringe on the intellectual property rights of others when utilizing data, respecting access restrictions like robots.txt and avoiding pirated sites.
- Principle 2 and Principle 3 establish specific disclosure request mechanisms for parties pursuing legal action or users whose generated products resemble third-party content.
- Open source software users have specific exceptions allowing them to disclose license details if full compliance is difficult.
· 1. Overview · 2. Principles and exceptions set out in this document · [Notes]
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
The content of the state in which decisions made during the development, provision, and use of generative AI systems or services can be traced and traced to the extent technically possible and reasonable
2. Principles (1) [Principle 1] C. Accountability
screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
The Generation AI Businesses shall disclose an outline of each of the matters set out in (1) and (2) below
2. Principles (1) [Principle 1]
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
To visualize the acceptance status of this document, the following is expected to the Generative AI businesses that accept the principles set out below
1. Overview (4)
screening score · 2026-10-23
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
screening score · 2026-10-23