[Blog]The Review Process as an --Explainable Black Box-- -Designing Immigration Administration Without Losing Trust

2026-05-14

1. The Question

How transparent should immigration review processes be?

Decisions regarding residence status, period of stay, permanent residency, refugee recognition, and deportation profoundly affect the lives, families, employment, and futures of foreign nationals.

However, it is not realistic to fully disclose every aspect of the review process. Immigration screening necessarily contains areas that must remain non-public, including national security, prevention of system abuse, diplomatic considerations, protection of information sources, and privacy concerns.

The question, therefore, is whether institutional trust can still be maintained while preserving a certain degree of opacity.

The Balanced Coexistence Model answers this question through the concept of the “explainable black box.”

2. Black Boxes Cannot Be Completely Eliminated

In immigration administration, black-box decision-making is often criticized.

Applicants do not understand why they were denied. They do not understand why screening takes so long. They do not understand why apparently similar cases produce different outcomes.

Such opacity generates deep distrust.

Yet at the same time, complete disclosure of all screening mechanisms is impossible.

If all detailed review methods and risk assessment criteria were made public, it could encourage manipulation of the system and strategic compliance. In refugee determinations and border inspections, there are also situations in which information sources and investigative methods must remain protected.

Therefore, the problem is not the mere existence of black boxes.

The problem is when black boxes remain entirely unexplained.

3. Transparency and Explainability Are Different

An important distinction must therefore be made between transparency and explainability.

Transparency means disclosing information itself.

Explainability, by contrast, means presenting the structure of decision-making in a way that can be understood.

Even without disclosing all internal documents or review standards, it is still possible to explain:

Which elements were considered. Which factors were evaluated positively. Which issues were problematic. Why a particular conclusion was reached.

Explainability is not about “showing everything.”

It is about enabling individuals to understand decisions, predict future outcomes, and rely upon the institution.

4. What Unexplainable Black Boxes Produce

Unexplainable black boxes generate distrust.

If people cannot understand the reasons behind decisions, they cannot trust the institution itself.

If similar cases produce different results without explanation, the system appears arbitrary.

If review periods become prolonged without visibility or predictability, individuals cannot plan their lives.

Under such conditions, compliance with the system itself becomes irrational.

As a result, people begin avoiding institutions, relying on purely formal compliance, or in some cases moving toward irregular or informal pathways.

An unexplainable review process is not merely inconvenient.

It is a structure that reproduces distrust and social harm.

5. What Is an “Explainable Black Box”?

Within the Balanced Coexistence Model, an “explainable black box” refers to a review structure in which not all internal mechanisms are disclosed, yet the logic of decision-making remains understandable.

It is neither complete transparency nor complete secrecy.

Three conditions are essential.

First, the existence of evaluation criteria must be made clear.

Second, the general direction and structure of decision-making considerations must be explained.

Third, in individual cases, it must be possible to explain which elements were positively evaluated and which became problematic.

Under such conditions, applicants can understand why a decision was reached without requiring full disclosure of internal screening logic.

In other words, even a black box can preserve institutional trust if it remains explainable.

6. Implications for AI-Based Screening and Risk Assessment

In the future, immigration administration may increasingly incorporate digitalization, API integration, risk scoring, and AI-assisted review systems.

The problem, however, is that greater sophistication may also produce greater opacity.

Algorithmic classification, predictive risk scores, and data-driven decision support may improve efficiency.

But if these systems remain unexplained, distrust will deepen rather than diminish.

Why was a person categorized as high risk? Which information affected the outcome? How can errors be corrected?

If such questions cannot be answered, AI and digital systems cease to function as infrastructure for trust and instead become mechanisms of distrust.

Thus, the more technology is introduced, the more important explainability becomes.

7. Three Design Principles for Review Systems

To construct an explainable black-box review system, three principles are necessary.

First, the reasoning process must be structurally articulated.

Instead of vague statements such as “requirements were not sufficiently met,” the system must indicate which elements were lacking and which issues led to the conclusion.

Second, the decision-making process itself must be documented.

Which materials were reviewed, which perspectives were applied, and how conclusions were reached should all be recorded so that later verification becomes possible.

Third, the system must connect explanation to appeals and future applications.

Explanations should not merely notify outcomes. They should function as institutional feedback indicating what can be improved or corrected.

Only when these three conditions exist can a review process become trustworthy.

8. Conditions for Legitimate Non-Disclosure

Non-disclosure is not inherently illegitimate.

However, secrecy cannot justify itself.

Within the Balanced Coexistence Model, non-disclosure is acceptable only if several conditions are met.

First, the overall structure of decision-making must remain understandable.

Second, secrecy must not function as a shield for arbitrariness.

Third, internal oversight and independent review mechanisms must exist.

Fourth, applicants must still receive sufficient explanations regarding their cases.

In other words, secrecy is not a substitute for trust.

It is an exception that must itself remain controlled within a broader structure of institutional trust.

9. From “Disposition” to “Dialogue”

Traditionally, immigration review has often been understood as a one-sided administrative disposition.

However, if explainability is taken seriously, review processes should instead be redesigned as a form of dialogue between institutions and individuals.

When applicants understand the reasons behind decisions, they gain the ability to improve their circumstances and make informed future choices.

When administrations explain their reasoning, their decisions become open to verification.

Under such conditions, review processes cease to be mere exercises of authority and instead become institutional processes that generate trust.

10. Conclusion

Black boxes cannot be completely eliminated from immigration review.

But unexplainable black boxes cannot be accepted either.

What is needed is not complete transparency, but explainability.

The “explainable black box” proposed by the Balanced Coexistence Model is a framework that preserves certain non-public elements while still making institutional reasoning understandable and maintaining trust.

Future immigration administration cannot merely be strict.

Nor can it merely be efficient.

It must be strict yet explainable, partially non-public yet trustworthy, technologically advanced yet still responsible for human lives.

Only then can immigration review cease to be a black box that produces distrust and instead become institutional infrastructure that sustains trust.

※This article is positioned as a chapter within the table of contents of the Balanced Coexistence Model.