GAIIN: The Global AI Initiatives Navigator

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.

These Guidelines are intended to encourage the voluntary consideration of AI users, especially those who provide AI services to others (AI service providers) and those who use AI systems (business users).

These Guidelines are prepared as a basis for international discussions at G7 and OECD regarding matters expected to be considered in R&D activities for promoting the benefits and reducing the risks of AI.

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.

An expert group in a wide variety of fields, including law, economics, technologies and businesses, has held discussions on the need for new governance models to pursue both the promotion of innovation and the achievement of social value, as well as ideal approaches thereto as Japanese society is facing dramatic changes brought about by big data, IoT, AI and other digital technologies.

This Guidebook shows how we can introduce AI to SMEs.

To gather top researchers and promote R&D for innovative fundamental technology and also promote implementation.

The Principles contain the fundamentals of what each stakeholder should keep in mind in order for AI to be accepted and properly used by society.

This Guideline establishes a basis for quality goals for ML-based products/services utilizing AI.

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.

This Guideline provides the methodology to fulfill AI's desired quality in terms of safety and productivity enhancement, in order to promote the usage of AI in the field of plants where safety is considered vital.

This Guideline is reference for businesses that explains approaches to concluding [i] contracts for utilization of data or [ii] contracts for the development and utilization of software using AI technology.

This multi-stakeholder (industry, academia, consumer organisation and government) conference body discusses issues that the development and deployment of AI network may bring to the society.

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 aims to tackle the concept of agile governance and analyse how it can be implemented into the Japanese society.

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

The Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) together with the French National Research Agency (ANR, France), and the Japan Science and Technology Agency (JST, Japan) is announcing the first trilateral call for research proposals on Artificial Intelligence (AI).

Supercomputer "Fugaku" as a central core, construct high-speed network among universities and public research sectors for various uses.

The Ministry of Internal Affairs and Communications (MIC) has formulated the Global Communication Plan 2025 in order to promote the further sophistication of multilingual translation technologies, such as the realization of concurrent interpretation by AI in 2025.