AI Policy

2.　Alignment with organizational purpose

In a manner consistent with the organizational objectives and business strategy of the ID Group, we will develop and provide AI systems and support customers in using AI. By aligning these measures, we will contribute to maximizing customer value and strengthening the growth and competitiveness of the entire organization.

3.　Compliance with requirements

The ID Group will strictly comply with applicable requirements, including relevant laws, regulations, industry standards, contract terms, and internal rules, in developing and providing AI systems and supporting customers in using AI. We pay close attention to regulations related to personal information protection and data governance, ensuring transparency and responsible operation.

4.　Effective use of intellectual assets and resources

The ID Group will make full use of its accumulated management resources, such as intellectual property and human resources, to develop and provide safe and efficient AI systems and support customers in their AI utilization. While building on existing capabilities, we will also incorporate new knowledge and external collaborations to expand the range of AI utilization and support sustainable growth.

5.　Continuous Improvement Practices

The ID Group regularly evaluates and analyzes the effectiveness of its AI management system and continuously improves based on the knowledge gained. While flexibly responding to technological evolution and changes in social demands, we will review our operational processes and systems to pursue higher quality and reliability. Improvement activities are not transient, but are rooted in the organizational culture and aim to maintain optimal conditions at all times.

6.　Emphasis on ethics, transparency, and sustainability

In the development and provision of AI systems and the support of customers in the use of AI, we emphasize ethics, transparency, fairness, and explainability, and prioritize social responsibility. We aim to eliminate algorithmic bias and opaque judgments, and to make AI available in a way that everyone can accept. We will also consider the impact on the environment and society, and adhere to our stance of developing AI technology in a sustainable manner. This builds trust with stakeholders and creates long-term value.

7.　Development and delivery of AI systems

ID Group develops and provides AI systems to customers. In development, we manage the entire lifecycle of AI systems and maximize customer value on the premise of ensuring quality, safety, security, and privacy. We will appropriately carry out necessary handling such as clarifying the purpose of use of learning data, managing permissions, managing retention periods, and clarifying whether or not it is provided to third parties, and ensure sufficient protection of data. In addition, we evaluate the performance, risk, and vulnerability of model components to ensure the stability of AI systems.

8.　Creation of products and services

The ID Group will leverage its experience in advanced system operation, application development, IT infrastructure, and security to create unique products and services that utilize AI technology. These products and services are not just about providing technology, but also about providing new value to customers, and we believe that such efforts will contribute to "creating a future that wakes up to Waku-Waku."

2.　Aligning with organizational objectives (specific guidelines)

The use of AI is important not only for streamlining individual operations, but also to be promoted in a way that aligns with the ID Group's business objectives, customer value, and social responsibility. The ID Group focuses not only on the novelty of the technology itself but also on how it brings changes and value to customers' operations and workplaces, working with an eye on everything from the concept stage through post-implementation.

1. Alignment with Business Objectives: Organize the purpose of AI utilization in connection with business objectives such as quality improvement, operational advancement, enhanced customer satisfaction, and risk reduction.
2. Clarifying Use Cases: We specifically identify which tasks and decisions AI outputs will be utilized for, and design with an eye on how AI outputs will be used in the field.
3. Clarify roles and responsibilities: Clarify the scope of roles and responsibilities for our company, customers, and related departments, and establish a system to promote them in a proactive manner.
4. Decisions with Continued Operation in mind: We make comprehensive assessments not only based on the effects of implementation but also on the necessary systems and burdens for operation, improvement, and monitoring.
5. Gradual implementation and expansion: The target operations and scope are gradually expanded while assessing expected effects and risks.

3.　Compliance with Requirements (Specific Guidelines)

In the development and provision of AI systems and customer support, compliance with requirements such as laws, industry standards, contract terms, and internal rules is premised. In particular, handling of personal and confidential information, intellectual property rights, security requirements, and conditions for using external services are reviewed at each stage of planning, design, and operation, and appropriate responses are made.

1. Understanding Requirements: Organize applicable laws, contract terms, internal regulations, and conditions for using external services and share them with stakeholders.
2. Data and Rights Confirmation:We verify the source, purpose of use, usage conditions, retention period, and other details of the data and content used.
3. Privacy considerations: When handling personal information, necessary protective measures are implemented and properly managed.
4. Compliance with Security Requirements: Secure operations are ensured through authentication, privilege management, log management, vulnerability response, and more.
5. Exception management: As a general rule, we do not provide services that do not meet requirements; if unavoidable, we respond under appropriate approval and management.

4.　Effective Use of Intellectual Assets and Resources (Specific Guidelines)

By leveraging the knowledge, deliverables, and operational know-how accumulated by the ID Group, we aim to improve the quality, safety, and delivery efficiency of AI. At the same time, we pay attention to differences in prerequisites and new risks associated with reuse, and make necessary reviews while making appropriate use of the product.

1. Leveraging existing knowledge:Utilize existing knowledge and deliverables related to design, evaluation, and operation to stabilize quality.
2. Confirmation of prerequisites:When reusing, we check differences in target operations, data, users, and usage environments, and review them as needed.
3. Appropriate personnel allocation: Depending on the nature and risks of the case, we appropriately assign personnel with the necessary expertise.
4. Promotion of standardization: We will develop assets that can be used collectively to continuously improve quality.
5. Accumulation and sharing of knowledge: We organize achievements and challenges and share them so they can be applied to future initiatives.

5.　Practice of Continuous Improvement (Specific Guidelines)

Even after AI is launched, changes in data and usage environments may impact its performance and safety. Therefore, we do not end with release; we continuously monitor, evaluate, and improve, striving to ensure stable quality and reliability. The ID Group emphasizes improvements that leverage operational expertise that has consistently supported systems stably, ensuring continued value after implementation.

1. Monitoring and Tracking: We continuously check performance, safety, usage, costs, etc., striving to detect changes or anomalies early.
2. Clarifying response conditions:In case of significant impact, we establish response policies in advance, including usage restrictions and suspensions.
3. Change management: Changes to data, models, settings, etc. are properly managed after confirming their impact.
4. Continuous Evaluation: Regular verification to confirm quality and suitability.
5. Utilizing feedback: Feedback, inquiries, and improvement requests from users and customers are leveraged to support future enhancements.

6.　Emphasis on Ethics, Transparency, and Sustainability (Specific Guidelines)

The value created by AI is built on the trust of users, customers, and society. Therefore, we prioritize ethics, fairness, explainability, and transparency, providing necessary information and thoughtful design so that users can use the information appropriately. Additionally, we will consider sustainability, including environmental and operational impacts, and promote responsible AI utilization while avoiding excessive resource consumption.

1. Consideration for accountability: We clearly explain to users the purpose of using AI, prerequisites, and important points to note.
2. Fairness checks:Conduct necessary checks to prevent biased influence on specific attributes or conditions.
3. Human involvement:In critical decision-making situations, appropriate human verification and control are incorporated.
4. Ensuring transparency:We properly manage data sources, key settings, change histories, etc., and maintain a state that can be explained as needed.
5. Consideration for sustainability:We select appropriate technologies and resources according to our objectives and strive to reduce environmental and operational impacts.

7.　Development and Provision of AI Systems (Specific Guidelines)

AI systems are built on interactions between data, models, applications, operations, and users. Therefore, at every stage—from planning through development, delivery, operation, to completion—we manage with consideration for quality, safety, security, and privacy. When using external AI services, SaaS, APIs, etc., we thoroughly manage the entire system. The ID Group emphasizes design and implementation not only for system development but also for stable subsequent operation, striving to provide AI systems that can be used with peace of mind.

1. Data Handling Management:Organize the purpose of use, permissions, retention periods, etc., and manage data appropriately.
2. Multifaceted evaluation: We comprehensively evaluate AI systems not only from the perspectives of functionality but also safety, fairness, stability, and security.
3. Implementation of safety measures: Necessary controls and monitoring are carried out to prepare for unexpected use or inappropriate output.
4. Change history management:Properly manage changes to models, settings, data, etc., ensuring reproducibility and explainability.
5. Monitoring operational status: Monitor performance, usage, cost, security incidents, etc., and respond appropriately as needed.

8.　Creation of Products and Services (Specific Guidelines)

When creating AI-powered products and services, we comprehensively consider not only technological novelty but also value provided to customer challenges, ongoing operability, profitability, and delivery responsibility. The ID Group emphasizes combining its strengths in advanced system operation, application development, IT infrastructure, and security to create implementable products and services that go beyond concepts.

1. Judgment on product development: We comprehensively evaluate customer value, operability, security, legal compliance, and delivery system.
2. Document Preparation: Organize usage instructions, important notes, restrictions, and inquiry methods to clearly explain to users.
3. Implementation support:We assist with necessary settings, education, and operational rules at the start of use, accompanying you until adoption.
4. Quality Assurance:Throughout the release period, necessary evaluations and verifications are conducted to maintain and improve quality.
5. Continuous management: We manage to provide stable and sustainable services based on usage and costs.