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Other literature type . 2026
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Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
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The HRAIS Chamber

Authors: García-Maceiras, JM;

The HRAIS Chamber

Abstract

Abstract High-Risk AI Systems (HRAIS) do not primarily challenge institutions because they are opaque. They challenge them because opacity breaks the chain through which responsibility can be established under contestation. A credit decision is denied; a fraud alert is triggered; a customer is excluded—in each case, the output functions as an institutional reason. Yet when challenged—by a court, by supervisor, by a counterparty—the institution may be unable to reconstruct how that reason was produced in a way that sustains attribution. This is not a failure of explainability. It is a failure of control. When reconstructibility collapses, governance does not degrade internally: It is displaced externally. Courts do not resolve epistemic limits; they assign responsibility. Supervisors do not accept opacity; they reallocate burden of proof. What cannot be reconstructed will not be evaluated—it will be reassigned. This paper develops the HRAIS Chamber as an institutional response to that displacement. Not as an advisory body, but as a mechanism designed to preserve reconstructibility as a condition for retaining authority over decisions produced by high-risk systems. Reconstructibility is not an enhancement to governance. It is the condition under which governance remains possible. Without it, decisions continue to be made, but they no longer remain fully under institutional control. The absence of reconstructibility does not stop decisions. It transfers their consequences. The objective is not to eliminate opacity. It is to prevent the loss of institutional control that opacity, left unmanaged, inevitably produces.

Keywords

HRAIS, Opacity risk, Banking supervision, High-Risk Systems, Evidentiary architecrure, Institutional Reconstructibilty, Accountability, AI governance

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average