[Blog]Institutions Become Trustworthy Only When They Are Explained — From Understandable Institutions to a Society People Can Rely On —

2026-07-29

1. The Mere Existence of Institutions Does Not Create Trust

Laws, administrative procedures, labor insurance, and social insurance are established to protect rights and stabilize social life. Yet the existence of rules alone does not mean that people will trust them. Unless people understand a system’s purpose, eligibility requirements, procedures, and decision-making criteria, the system remains an invisible mechanism detached from everyday life.

Public authorities and companies may believe that a system is being operated correctly. However, if users are not told how or why decisions are made, the system appears opaque from the outside. When people receive only a result without an explanation, they cannot predict whether the same conditions will produce the same outcome in the future. A system that cannot be predicted cannot be relied upon with confidence.

Institutional trust therefore does not arise automatically from the existence of institutions. A system becomes a genuine foundation for life only when people know how it works, understand how it applies to them, and can anticipate its consequences.

2. Explanation Means More Than Publishing Information

Explaining a system does not simply mean publishing laws, notices, forms, or official guidance. Information may be technically available while remaining practically inaccessible because it is filled with specialist terminology, scattered across multiple documents, or difficult to locate.

Explanation means presenting the purpose of the system, the people who may use it, the burdens it imposes, the support it provides, the procedures it requires, and the factors that influence decisions in a form that users can understand. The goal is not merely to display information, but to enable people to apply it to their own circumstances and decide what to do next.

This requires information to be organized from the user’s perspective rather than only from the perspective of the institution. People need to know where to go, which documents to prepare, when to act, and what disadvantages may arise if procedures are missed. Understandable explanation should guide people not only to the entrance of a system, but all the way to the rights and support available within it.

3. Explainability Creates Predictability

People do not always expect institutions to produce outcomes favorable to them. Even an unfavorable decision may be accepted when the reasoning is understandable and when people can predict that the same standards will be applied consistently in similar cases.

By contrast, when one person is approved and another is rejected without any explanation of the difference, the system appears arbitrary. If standards are vague and explanations vary depending on the office or official, people cannot know how to prepare or how to behave.

Not every decision can be reduced to fixed numerical rules. Administrative bodies and professional institutions need a certain degree of discretion to consider individual circumstances. However, the need for discretion does not justify the absence of explanation. When institutions clarify which facts were important and how those facts led to the final decision, discretion can be understood as reasoned judgment rather than arbitrary power.

Explainability is therefore a condition for predictability. As explanations accumulate, patterns and standards become visible, allowing people to adjust their conduct and prepare appropriately.

4. For Foreign Residents, Explanation Is the Gateway to Institutions

When foreign residents use Japanese institutions, they encounter not only language differences but also differences in social assumptions and administrative culture. Procedures that may appear self-evident to Japanese citizens can be difficult to understand for people unfamiliar with their legal purpose or social background.

For example, deductions for social insurance, notifications following resignation or job changes, renewal of residence periods, resident registration, and tax declarations all belong to different systems and administrative bodies. When explanations are fragmented, people cannot see the whole picture, and a delay in one procedure may produce disadvantages in another.

In such circumstances, it is not fair to place all responsibility on individuals who did not understand the procedure. Foreign residents are responsible for complying with the law and completing required formalities. At the same time, public authorities, employers, educational institutions, and support organizations are responsible for delivering necessary information in an understandable form.

Multilingual communication is important, but translation alone is insufficient. Institutions must also explain the background and purpose of the rules, the consequences of noncompliance, and the connections between different systems. Explanation is not simply the replacement of one language with another. It is the sharing of institutional meaning.

5. Explanations by Employers Also Shape Institutional Trust

For many workers, the workplace is the first place where they encounter labor law and social insurance. Employers explain employment contracts, working hours, wages, insurance premiums, taxes, leave, and resignation procedures.

When companies explain these systems accurately and complete procedures properly, workers can understand that institutions exist to protect them. However, when workers do not know why premiums are deducted, when contracts are not explained, or when necessary documents are not issued at resignation, distrust may extend beyond the company to Japanese institutions as a whole.

Explaining systems to foreign workers is not an optional form of goodwill. It is part of proper employment management and a necessary condition for meaningful legal compliance. Understanding a system enables workers to exercise their rights and also to recognize their obligations.

When explanations from employers are consistent with administrative guidance, workers can follow the system with confidence. When the two conflict, people no longer know which institution to trust.

6. Unfavorable Decisions Require the Greatest Explanation

Distrust often intensifies when an application is denied, a person is found ineligible for a benefit, or additional documents are requested. If only the conclusion is communicated, the person cannot understand what was lacking or how the situation might be corrected.

The purpose of explaining an unfavorable decision is not merely to defend the institution. It is to resolve misunderstandings, enable correction, and allow the person to choose the next step, such as submitting additional information, reapplying, or filing an appeal. Explanation makes the relationship between conduct and institutional outcomes visible.

There are situations in which not all information can be disclosed because of privacy, examination security, or the rights of third parties. Yet the need for confidentiality does not justify complete silence. Institutions should explain as much as possible and clarify the procedures available for review or correction.

An unexplained adverse decision makes people feel excluded from the system. When reasons and avenues for correction are visible, trust can survive even when the outcome is unfavorable.

7. Institutions Preserve Trust by Correcting Errors

No institution can completely eliminate misunderstandings, inconsistent records, administrative delays, or mistaken decisions. Trust does not depend on the total absence of error. It depends on whether errors can be discovered, explained, and corrected.

Consultation desks, complaints procedures, appeals, and reviews are not merely exceptional remedies. They are part of the infrastructure of trust because they demonstrate that institutions can examine and revise their own decisions.

Distrust deepens when people are sent from one office to another, when agencies shift responsibility, or when no answer is provided. By contrast, when it is clear who will receive the complaint, how it will be investigated, and when a response will be given, people can believe that problems are solvable within the system.

Explainability therefore includes not only the explanation of the original decision but also the explanation of the correction process. A system with a visible path to remedy gives people a reason to continue relying upon it.

8. Digitalization Alone Does Not Create Explainability

Online applications and digital systems can improve speed and convenience. However, digitalization does not automatically make institutions easier to understand. A system that does not explain the meaning of input fields, the reason for an error, or the current stage of examination simply creates a new form of opacity.

Digital administration should do more than automate processing. It should indicate what information is missing, why additional documents are required, which stage the application has reached, and how long the process usually takes. Such information allows users to anticipate the progress of the procedure.

When algorithms or automated assessments are used, institutions must still provide reasons that people can understand. Saying that a machine made the decision does not establish legitimacy. Responsibility must remain identifiable, human review must be available, and opportunities to challenge a decision must be protected.

Technology should not be used to avoid explanation. It should be used to provide explanation consistently and accessibly. Only digitalization accompanied by explainability can strengthen institutional trust.

9. Explaining Institutions Means Sharing Mutual Obligations

Institutional explanation should not communicate rights alone or command obligations alone. It should present both together: what burdens are required, what social benefits those burdens support, and under what conditions assistance becomes available.

Foreign residents are responsible for obeying the law, completing required notifications, and paying taxes and social insurance contributions. Employers are responsible for lawful employment practices, proper enrollment, and clear explanations of working conditions. Public authorities are responsible for presenting institutions in understandable terms, administering them fairly and consistently, and providing paths for correction when problems arise.

The mutual obligations emphasized by the Balanced Coexistence Model do not mean requiring foreign residents to adapt unilaterally. They mean that every participant in the system fulfills responsibilities appropriate to their role. When these responsibilities are explained and can be mutually confirmed, institutions become a shared foundation for social life rather than a mechanism of coercion.

10. Repeated Explanation Builds Institutional Trust

Trust cannot be created merely by asking people to trust government, by declaring corporate compliance, or by promoting slogans of coexistence. It develops through repeated experiences in which explanations are consistent, procedures unfold as expected, support is delivered when needed, and errors are corrected.

Explanation makes institutions understandable. Understanding makes outcomes predictable. Predictability allows people to organize their lives on the assumption that institutions will function. When people then experience that institutions can actually be relied upon in difficult moments, trust emerges.

From understanding to predictability, from predictability to the ability to rely on institutions, and from reliance to trust. Explainability supports every stage of this process.

Institutions become the property of society only when they are explained. When both Japanese and foreign residents can understand rights and obligations, decisions and reasons, and problems and remedies, institutions cease to be mere rules and become a foundation on which everyone can rely. The Balanced Coexistence Model therefore treats explainability not as an optional administrative service, but as an institutional condition for creating trust in a society of coexistence.