AI White Paper 2024 New Strategies in Stage II- To the most AI-friendly country in the world -This image was created using a generative AIApril 11, 2024
Liberal Democratic Party, Project Team on the Evolution and Implementation of AIs(Ver.1.0)

Skeleton of AI White Paper 2024
LDP White Paper (2023): It all started. The Big Bang of AI in Japan.
These recommendations have largely been realized or are being implemented.
The world and Japan have progressed at an unprecedented pace over the past year,
both in the public and private sectors.

“Stage II”: No one can predict specifically and accurately for the year ahead.
New Strategies in Stage II - To the most AI-friendly country in the world
Integrated promotion of competitiveness enhancement and safety assurance

Facilitating R&D and utilization

Strengthening competitivenessRespond flexibly to take advantage of
rapid changes in the environment.
Strengthening competitivenessthrough integrated R&D and utilization
R&D of new convenience technologies

Strengthening
R&D capabilities

Virtuouscircles

Safety and Security
New technology
to improve safety

Minimizing Risk
Maximizing ProfitPromoting
AI utilization

Increase in data and AI-related investmentsUpgrading the infrastructure ofcomputing resources, etc.

Ensuring safety
promotes AI R&Dand utilization

Ensuring safety
A multi-layered approach (soft law andminimum necessary hard law) based onvoluntary responses to develop theenvironment of safe and secure use
and promote innovation.

Responding to risks
Literacy improvement,
human resource development,
copyright and intellectual property,
handling of personal information, etc.

International collaboration and coordination, international consistency
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AI White Paper 2024 Key Recommendations
Chapter 1
Japan inStage II

Chapter 2
Strategies forstrengthening
Japan'scompetitiveness through theuse of AI:
Flexible
responses thattake advantageof rapid
environmentchanges

Chapter 3
Strategies toensure safety

 To realize the “world’s most AI-friendly country” with the best understanding of AI and the easiest AI R&D andimplementation.
Stage II Strategies  Maximizing profits while minimizing risks to the public from AI.
- To the most AI-  Promote strengthening competitiveness and safety in an integrated manner.
friendly country in  Japan continues to lead international rulemaking on safe, secure, and reliable AI, based on the achievements of theHiroshima AI Process.
the world  Strengthen cooperative relationships with Asian countries and the Global South, and demonstrate strong leadershipin the world in promoting international joint research and utilization of AI.
Promotion ofutilization

 To promote further utilization in public administration, new guidelines will be established based on the handling ofconfidential information, etc.
 Disseminate "AI Guidelines for Business" widely to promote appropriate use of AI by each organization, so thatbusiness operators can promptly respond to environmental changes on a risk-based basis against AI risks.

 To utilize data for AI development, establish a plan for providing data held by the Government and others, share examplesof the use of private-sector data, and develop new data useful for development.
 Synergistic efforts in the public and private sectors to collect, maintain and update data, and develop and utilize AI,
so that the development and utilization of AI can be firmly promoted in fields where Japan can make use of its strengths,
such as automobiles, robotics and materials development, and in fields that are also important for security, such as
Strengthening R&D
medicine, finance and agriculture.
capabilities Based on the discussions and recommendations of the LDP, the Government will compile a support program for AI startups.
 In order to dramatically strengthen competitiveness in cutting-edge AI technologies, including AI for Science, the Government
will develop a data infrastructure for national research institutes, etc.
Upgradinginfrastructure The Government will provide financial and other policy support to ensure data centers and other infrastructure to become
the world's most AI-friendly country and encourage necessary private investment.
 Expand and upgrade the “AI Bridging Cloud Infrastructure (ABCI)” and begin development of the next generation of“Fugaku” with AI capabilities.

Appropriategovernance The basis of AI governance in Japan is for operator and others to voluntary and continuously assess and reduce risks
based on “AI Guidelines for Business,” etc.
 Based on the concept of the "Basic Law for the Promotion of Responsible AI (tentative name)" by the WG volunteers of this PT,
etc., the Government will develop the minimum necessary legal framework for AI models with extremely high risks.

Countermeasures  Comprehensive measures, including institutional measures, will be compiled by the end of this summer to deal with false
and misleading information by using generative AI.
against false and In order to appropriately respond to negative impacts on elections, relevant operators will implement the same efforts
misinformation
as the Munich Accord in Japan.
using generative AI
Further efforts to  Establish a high-level network of AISIs in Japan and other countries, for international coordination to ensure the safety ofAI.
ensure the safe use
 AISI will serve as Japan's nodal point for AI safety assessment.
of AI
Relationship with Regarding intellectual property rights such as copyright, the Government will respect these rights while taking
copyright and othermeasures in line with the AI era and promoting appropriate AI utilization.
intellectual property

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Overview of computational resources and training data
Overview of computing resources

In Japan, there are problems such as an insufficient number ofdata centers, a lack of power grids and high construction costs.

Large-scale computing infrastructure
Cloud server

Supercomputer
Deep learning

Computation

Cloud ServiceData storage, web services, etc.

Training

Scientific and technicalcalculation, simulation, etc.

CPU
MemoryStorage

Inference(AI development)

CPU
MemoryStorageGPU
Memory (HBM)
Storage(AI utilization)

Potential for progressin small-scale decentralization

CPU/GPU
MemoryStorage

An oligopoly by a few companies

Overview of training data
Data that can be used for domain-specific AI training

AI used within the organization that is not disclosed to the public, e.g.

Non-personal data used for AI training
AI that may be released to the public

Data held by private
institutions and individuals

Important secret, etc.

Data held by national
and public organizations

Personal data,Organization data,
Membership Data,etc.
Exp:
Diagnostic info.
Customer info.
Research info.
Product info.
etc

Websiteinformation

Open bibliographicinformation(documents, images,(documents, images, videos, books, figuresvideos, etc.)
and tables frompapers, numbers,
biological andmaterial data)

Machine-readable data
Digital converted paper media by OCR, etc.

All data
Data that is not suitablefor AI training, such asmachine-unreadable or
not well-formatted(Source: Compiled from materials of National Institute of Advanced Industrial Science and Technology (AIST).

4LDP Project Team on the Evolution and Implementation of AIs
Volunteer WG (February 16, 2024, excerpted document (translated))5