In the recent years, computer architectures constituted partly through a wide
variety of devices getting connected to the Internet have come to process an extensive
amount of data.
Artificial Intelligence (AI) has enabled computers to learn from data accumulated
in computer architectures connected to devices. AI-powered computers have produced
various types of digital information through recognition, inference, dialog and generation
based upon learning. Content thus provided in the form of digital information mainlyrefers to movements of people and equipment that were not identified in the past,situations of products and services provided therethrough, behaviors and attributes ofpeople who use products and services, and cities and towns where we live.
Business processes remaining in silo will come to be mutually connected, optimized
and sophisticated through data shared across fields and organizations in a network ofinterrelated systems that are powered by AI technologies (hereinafter referred to as “AISystems”). Eventually, this is expected to significantly contribute to solving social issues
identified in the Sustainable Development Goals (SDGs) by the United Nations such as
those related to the environment, circular economy, and human rights.
On the other hand, AI systems incorporated into a network are immanently subject
to complicated, rather than simplified, use, operation and management. AI systems
pose risks of infringing personal privacy as well as harming diversity and fairness beyondimagination. As a result, AI systems may have a negative impact on society in somecases.
Also, AI systems evolve to becoming capable of learning from a significant amountof data and processing in a more sophisticated approach, and thus raise hopes. Thereis a concern about facing a backlash amid the expectations that human beings may
depend upon AI systems beyond the capability and the scope of appropriate use of AI
systems serving properly. Anxieties about negative impacts are undermining public trustin AI systems that can exist only to serve people and enrich society.
As a result, many countries and many organizations have established principles
and rules on using AI systems and data with the aim of recognizing negative and positive
impacts from the utilization and considering appropriate responses, and have worked
on balancing the benefits and risks.

The BIPROGY Group AI Ethics Principles
The BIPROGY group, as a company group to create a sustainable society using
foresight and insight to unlock the full potential of technology, aims to achieve a societyequipped with social systems to enable everyone to live happily through digitalcommons (shared assets of society). The Group will create digital commons throughpromoting our business with three social impacts as our guide: Resilience (Viable andresilient autonomous distributed environments); Regenerative (Regenerative systems
for a net positive society); and, Zero emissions (Environmental contributions andreduced environmental loads using digital technologies).
AI systems indispensable for creating social systems are expected to enrich many
people’s lives in society by augmenting human capabilities and creativity throughsupporting in a sophisticated manner. It is noted that what is aimed at is enabling ahuman-centered society with AI systems existing as a support.
The BIPROGY group aims to deliberate upon both benefits and drawbacks delivered
to society by AI systems and appropriately address risks together with stakeholders
before unlocking various possibilities of AI systems use for the purpose of supporting asociety where all can live happily with AI systems accepted. The Group hereby
announces the AI Ethics Principles (hereinafter referred to as the “Principles”) in thislight.
The Principles are applicable to the entirety of our businesses that leverage AI
technologies. We comply with the Principles in developing, providing and utilizing AI
technologies developed by other companies as well as by us that support our businesses,
or delivered in installed AI systems or through services by other companies.
AI technologies in the Principles refer to the entirety of the technologies to support
AI systems that perform intelligent behaviors boosted by harnessing data such as thoserelated to recognition, inference, dialog, and generation.

The BIPROGY Group officers and employees will endeavor to do the following:1.

Unlock potential of data and AI technologies together with businessecosystem partners that aim to create a sustainable society. We willrecognize positive and negative impacts on users and society of AI systems
and share with stakeholders such as business ecosystem partners, generalusers, and external experts and take necessary measures so that AI systems
we provide will become widely accepted in society.

2.

Provide examples and internal AI training to employees to develop humanresources who can appropriately identify and consider measures to handle
benefits and risks of AI systems.

3.

In providing AI systems, give due consideration not to harm the life, body,or property of users or a third party. Also, we will respect data subject rights
and will give due consideration so that disadvantage will not be imposed ona data subject by abusing dominant bargaining position that we may obtainas a result of providing AI systems.

4.

In deliberating upon AI system roles, we will respect human dignity andautonomy of individuals, and consider defining appropriate roles between
humans and AI systems in terms of the scope and the method, to prevent
users from excessively depending upon AI systems.

5.

In handling data needed for AI systems, give consideration to ensuring
security without compromising privacy. Also, we will remain meticulous
about the data quality and pay attention not to use inaccurate data.

6.

Recognize that decisions made and contents generated by AI systems may
contain biases and give careful consideration to fairness so that individuals
and groups are not unreasonably discriminated against. We will also pay
attention to the data quality used for learning, the verifiability of AI system
inputs and outputs, and the explainability of AI system decision or
generation results in order to attempt to ensure transparency.

7.

In using and providing AI systems, assess benefits and risks of AI systems
for each business, and work on guidelines and rules as needed. Also, we willcontinue to monitor the situations and will take necessary measures.

8.

We will continuously revise these Principles through discussions withstakeholders such as business ecosystem partners, general users andexternal experts, in light of receptivity fluctuating amid social trends
interacting with legal and regulatory trends.

EstablishedFebruary 3, 2020
RevisedMay 16, 2022
RevisedMarch 11, 2024