State Capacity & Administrative Systems · 2026-10-21

Invisible Government, Visible Accountability: A Governance Framework for Proactive Public Services in the Age of Artificial Intelligence

Artefactum – Revista de Estudos Interdisciplinares, v. 25 n. 11 (2026)Original paperMarkdown source
public administrationdigital public infrastructureinteroperabilityaccountabilityrights-based frameworksAI governance
Key Insight

Proactive government does not remove administrative power when it removes citizen-facing steps; it shifts that power into less visible back-office coordination, so every reduction in friction should be matched by stronger traceability, contestability, and accountable authority.

Review

Translation note: The original article is in Portuguese. A machine-translation workflow was used to produce an English working copy before review, with governance terminology and consequential claims checked against the Portuguese source and the paper's English abstract.

The paper develops a governance framework for proactive public services around a useful institutional proposition: reducing the citizen's need to navigate government does not eliminate administrative complexity, but relocates it into inter-agency data use, eligibility determination, orchestration, and execution. The resulting design problem is therefore not how to make government invisible, but how to preserve institutional visibility when user-facing friction is removed. The framework organizes four interdependent functions, identity and context, trusted data and interoperability, decision and orchestration, and execution and interaction, under transversal accountability and contestability. A deliberative Proactivity Decision Matrix then asks how far administrative initiative may legitimately advance for a specific service.

The analysis is appropriately careful about technology. Proactivity is separated from digitization, automation, and AI. Digital identity, trusted registers, interoperability, and deterministic rules can support services initiated by government without AI, while AI is treated as selectively useful for tasks such as classification, interpretation, triage, or natural-language interaction. This prevents technological capability from becoming an implicit authorization to automate consequential decisions. The matrix reinforces that separation by requiring legality and purpose, data quality, effects on rights, reversibility, user choice, and review mechanisms to be considered before increasing the degree of proactivity.

The paper's comparative method is qualitative and conceptual rather than causal. It uses a focused literature review, official documentation, and institutional comparison across Estonia, Denmark, Singapore, the United Kingdom, and Brazil, with the European Union as a regulatory reference. It distinguishes operational systems from pilots, strategies, and enabling infrastructure, and explicitly rejects a maturity ranking. This evidentiary discipline supports the paper's narrower claim that proactive-service design is an institutional choice conditioned by infrastructure and governance, not an inevitable stage of digital development.

The most reusable governance contribution is the distinction between operational invisibility and institutional visibility. Removing forms, repeated submissions, or agency hand-offs may reduce citizen burden while making the exercise of public authority harder to observe. The paper therefore requires traceability of data and rules, contestability of outcomes, and identifiable institutional responsibility, including where private suppliers participate. This is a substantive shift in evaluation: digital-government maturity should be assessed not only by how little the citizen must do, but by whether the resulting administrative action remains reconstructible and challengeable.

The principal limitation is that visible accountability is specified more clearly as a design requirement than as an enforceable operating model. The framework asks the right questions about legal basis, competence, correction, review, and reversibility, but does not yet specify how responsibility should be allocated when a proactive journey crosses agencies, levels of government, shared registries, and contracted platforms. In Brazil this matters directly because federal heterogeneity and uneven institutional capacity can create a gap between a formally available right to review and a practically usable route to correction and redress.

A fair response is that the authors explicitly present the framework and matrix as conceptual and deliberative, not as validated causal or measurement instruments. That resolves any criticism that the article overclaims empirical proof. It does not remove the next validation requirement. The framework should be tested on concrete service journeys with pre-registered measures for transaction reduction, erroneous initiation, correction latency, appeal accessibility, source-data traceability, institutional ownership, and reversibility. A useful design would compare a low-risk proactive benefit with a restrictive or hard-to-reverse decision to test whether the proposed risk asymmetry produces materially different safeguards.

The article's novelty is therefore integrative rather than terminological, which the authors themselves acknowledge. Its practical significance is to make a stronger proposition about state capacity: a government that absorbs administrative burden must also absorb the responsibility to coordinate legally, preserve evidence, expose accountable authority, and provide effective correction. Otherwise, "invisible government" risks making bureaucracy less burdensome to navigate while making public power harder to see and contest.

Key Insight

Proactive government does not remove administrative power when it removes citizen-facing steps; it shifts that power into less visible back-office coordination, so every reduction in friction should be matched by stronger traceability, contestability, and accountable authority.

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