AI Utilization Strategy
For an AI-Ready SocietyFebruary 19, 2019
Keidanren

ContentsⅠBackground

IIPrinciples for Utilization of AI

TechnologyHow Japan Can WinCompanies

ⅢGuidelines for AI-ReadySociety

Individuals
Social Systems &Industrial Platforms

Ⅳ

Strategic Frameworks
for Utilization of AI2

Introduction
Hopes are pinned on Japan as a pioneer in solving humanity-wide
challenges and aiding the drive to achieve the SDGs.
In response, Japan has unveiled its "Society 5.0" vision.
Artificial Intelligence (AI) will be the core technology behind thecreation of Society 5.0.
The AI revolution has entered its industrial phase and will lead theevolutionary advancement of industry and society to a new level.
Our strategy was put together with attention to the strategies andprinciples established by other nations and the question of how
industry can best pursue the utilization of AI and harness its power.

3I. Background

Technology

Backed by recent advances in technology, deep learning and other AI methodologies have madehuge strides.
Going forward, major benefits are anticipated with the industrial and social integration of AI systems.

Basic features of AI technology now○ Large volumes of data required

Figure 1: Learning-based systems○ Have surpassed humans in certain areas ofidentification and measurement○ Learning-based systems capable of defining
conditions through analysis of data
○ Results achieved with AI difficult to explain○ Limited in handling of unknown events○ Future prospects

Figure 2: Mechanism of AlphaGo Zero

⇒ Use of simulations for utilization of AI
with small datasets⇒ Scientific knowledge discovery

4Ⅰ. Background

How Japan Can Win

AI as a social goodSociety 5.0 for SDGs
powered by AI

Business applications
with real-world AIAI integration,
On-site capabilities,
and comprehensive
strengths

Fully utilize AI as a social goodin the interest of society and humankind.
Contribute to development of Society 5.0
for SDGs.
This is an obligation of nations andcompanies equipped with the AI technology.
The main battleground for digital companies
and other industries is shifting to
the real world. Leverage real-world strengths
in technology and expertise andtransform existing businesses to be
AI-and-service oriented
Seamless integration of cyber space into theworkplace
On-site capabilities in data quality
management/maintenance and processingComprehensive strengths in integrated
systems operation
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II. Utilization
Principles

Principles for Utilization of AI

Principle
ⅠImplement Society 5.0 for SDGswith AI.

Principle
Ⅱ

AI for diversity and inclusion

Principle
Ⅲ

Build AI-ready social systems,industries, and companies

Principle
Ⅳ

Develop trusted quality AI

Principle
Ⅴ

Promote appropriate
understanding of AI

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III. Guidelines

Guidelines for an AI-Ready Society

Cultivating AI-ready companies, individuals, and systems at all layersof society will be essential to the utilization and expansion of AI.
AI-ReadyCompanies
AI-ReadyIndividuals

AI-ReadySocial Systems &Industrial Platforms

First, cultivate AI-ready companies with the ability
to effectively utilize AI and data.
Then, foster corporate and industrial innovation
with AI applications in all operations.

Cultivate AI-ready executives, core humanresources, and users.
Reform education, upgrade environments for
R&D, and improve the understanding of users.

Ensuring AI quality and reliability will be vital to
the social and industrial penetration of AI.
Pursue the development of trusted quality AI
ecosystems.
６III. Guidelines
Companies

AI-Ready Companies

Five developmental levels in the formation of an AI-ready company,
involving the management layers, specialists, employees, and systems and data

8III. Guidelines
Individuals

AI-Ready Individuals

To ensure that all individuals can utilize and benefit from AI, it will be necessary totrain top-level and core human resources and provide users with literacy education.

Target Layers Initiatives● Top-level human resources (researchers)□ Develop training mechanisms unconstrained by existing educational systems.
□ Build frameworks for accurate assessments of top-level human resources.
□ Pursue collaboration on AI with all academic disciplines (*).
□ Starting with international symposia on AI, establish international centers for collaboration
by industry, academia, and government.

● Core human resources (engineers)□ Establish “AI engineering” program for the utilization of AI by engineers from varied backgrounds.
□ Promote recurrent education approaches to the training of AI engineers.
□ Promote double majors in AI and specialized fields(*) and liberal arts degree programs□ Promote the accreditation of education programs for AI personnel through collaboration by industry,academia, and government.

● Literacy (for users)□ Pursue reforms to the education system aimed at ensuring that all individuals acquire AI literacy.
□ Expand liberal arts education to facilitate the utilization of AI by all individuals.
□ Utilize personal data through individual initiative to build a better society.
□ Utilize AI as a technology for inclusion to build a more diverse society.

*Note: For example, a broad spectrum of fields including finance, medicine, economics, law, and the arts.

9III. Guidelines
Society, Industry

AI-Ready Social Systems & Industrial Platforms

It is important to develop trusted-quality AI ecosystems that will assure user
reliability and the quality of data and AI as social systems and industrial
platforms.

10III. Guidelines
Society, Industry

Ensuring Data and AI Quality & Achieving Sustained Quality

Steps to ensure AI quality through seamless integration, on-site capabilities, andcomprehensive strengths as well as the collection of quality data and mechanisms tosustain that quality, will all be key.

Harnessing Japan’s strengths••

Assure AI quality through seamless integration, on-site capabilities, and total strength.
Approach the task as an engineering challenge and pursue its establishment as a systematictechnology.

Collecting quality data & sustaining that quality●Promote open access to, and standardization of, public data••

Promote open access to data held by national and local governments.
Promote the development of APIs and standardize the formats that facilitate
their use.

● Overcome sectoral and public-private barriers and share,coordinate, and utilize varied types of data••

It will be important to assign flexible data utilization rights through inter-businessagreements.
Open APIs should be promoted as an effective approach to the reciprocal use of data bycorporate and industrial counterparts.

● Promote the distribution and re-use of trained models.
•Trained models generate value through re-use and distribution. Mechanisms andefforts in R&D aimed at facilitating their distribution and re-use should be explored.
11III. Guidelines
Society, Industry

Ensuring Trust & Sense of Security about Data and AI

Setting goals for the utilization of AI, encouraging a sense of trust in data and AI, andensuring sense of security in the event of operational problems or accidents in
implementing AI functions, will together contribute to the creation of trusted AI systems.

Setting Goals••

Clarify social significance of AI utilization.
Clarify corporate stance on use of AI and put it into practice.

Trust in Data & AI•••••

Ensure data reliability and quality levels.
Implement AI that ensures fairness, accountability, and transparency.
Communicate with users about the characteristics of AI.
Conduct R&D on explainable AI (xAI).
Develop rules that ensure a balance between the use and protection of personal data.

Sense of Security in Implementation & Operation•••••

Guarantee the safety and dependability of the system as a whole.
Take into consideration privacy, security, and human rights from the design stages for
products and services.
On matters involving rights and interests or the assignment of liability,
place emphasis on agreements between the parties involved.
Develop technologies, systems, and legal frameworks for the management ofdata-related rights.
Enhance insurance frameworks for the handling of problems and accidents andinvestigate the causes.

12IV. Frameworks

Strategic Frameworks for Utilization of AI

The following three frameworks should be taken into account when pursuing theexpansion of AI in individual fields where real-world field expertiseand real data(*) can be made use of.
Develop ethics education and internal
rules for AI utilization.
Explore legal frameworks withgovernment and users.
Establish data policies.

SocialFramework

View social framework as acompetitive strength, not a cost.
Study of technicalsafeguards

Strategic Frameworks
for Utilization of AI

TechnicalFramework

BusinessFramework

Investment in strategic
fields for AI expansion

Develop trusted-quality AI.
Build technical framework for realizationof diversity and inclusion.

Business expansionin line withethical principles

Build field-specific platforms.
Promote cross-industrial
cooperation.

*Healthcare, energy, mobility, manufacturing/services, finance, etc.

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In conclusion,
AI is a technology for the solution of humanity-wide
challenges. Using it will be an obligation for companies
and humankind as a whole.
Having a focus on what to use AI for is important. AI willcontribute substantially to the achievement ofKeidanren's visions—”Society 5.0 for SDGs” and “Japanas a successful platform for diversity and inclusion.”
It is vital to take early action in line with thetechnological advancement of AI and rapidly changingenvironment. We encourage companies to move forwardwith steps to transform themselves into AI-readyenterprises. Keidanren is committed to promoting theadvancement of AI in specific sectors.
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