The OECD.AI Policy Navigator

Utilizing an AI foundation model and letting the model additionally learn scientific research data (multi-modalization), develop domain-oriented foundation models for scientific research (AI Foundation Models for Science).

This project aims to establish a methodology for building next-generation generative AI models that ensure transparency and reliability, while accumulating a series of knowledge and experiences.

A compilation of issues to be addressed due to the advent of generative AI, while maintaining the basic strategies and principles that have already been established.

This report is written how governments, businesses, and civil society can create a better world by reimagining governance.

This report provides the result of discussion of ideal approaches to AI governance in Japan for the purpose of operationalizing the Japanese AI Principles by the Expert Group on How AI Principles Should be Implemented (former the Expert Group on Architecture for AI Principles to be Practiced), organized by the METI.

This Guideline summarizes what to do to put the Social Principles of Human-Centric AI (decided by the Council for Integrated Innovation Strategy) into practice.

This Guidebook shows how we can introduce AI to SMEs.

The Quad countries (Australia, India, Japan, and the United States of America) affirm that the ways in which technology is designed, developed, governed, and used should be shaped by our shared democratic values and respect for universal human rights.