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Calibration & Data Governance  ·  Governed Protocol  ·  BCI-MOD-2026-007

Algorithmic Autonomy Protocol

Why the calibration logic behind a BCI structural reading is insulated from client strategy, outcome expectations, and organizational power — and what a client can and cannot contest about a finding.

Protocol ID: BCI-MOD-2026-007 Status: Active Effective: August 24, 2026 Companion to: BSIP v4.0, Independence & Conflict Policy Approved by: Amanda Zhang
Revision Note

Relative to the working draft, this version makes one substantive change and one structural addition. Section 02.2, renamed Calibration Governance (from Controlled Black-box Calibration), no longer asserts an automated calibration engine already in operation — BSIP v4.0 §9.2 and §9.3 disclose that cross-sector composite calibration is still in development. The operational claim is replaced with a standing governance rule that holds regardless of the calibration methodology's maturity at any given time, so the principle does not need revision as the underlying system matures. Independent Variable Sampling is now tied explicitly to the DRG framework and the Comparable Company Selection Standard.

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01Governance Rationale: Algorithmic Sovereignty as Credit Sovereignty

In top-tier audit and structural diagnostic contexts, algorithmic autonomy constitutes institutional credit infrastructure, not a matter of technical preference.

Just as credit rating agencies do not permit a rated entity to intervene in model construction or weighting logic, BCI's core equation —

BCI = (MT × TSn) ÷ (PL × ES−1)

— and its associated calibration mechanisms remain independent of client strategy, outcome expectations, or organizational power. BCI does not adjust a reading to align with a pre-existing strategic narrative, and does not participate in outcome negotiation.

Strategy must respond to structural readings, not the reverse. Algorithmic sovereignty exists so that BCI outputs constitute structural diagnostic statements, not governance consensus or context-driven interpretation.

02Insulation Mechanisms for Calibration

To prevent algorithmic logic from being reverse-shaped through inputs, interpretation, or power influence, BCI enforces the following standards.

1. Independent Variable Sampling

Standard. All core input variables, including but not limited to MT, PL, TS, and ES, draw on the Data Reliability Grade (DRG) framework defined in BSIP v4.0 §2 and, where a sector or peer median is required, the Comparable Company Selection Standard defined in BSIP v4.0 §2.2. Unaudited, non-verifiable, or bespoke internal client data is not used as a DRG-A or DRG-B input to any reading.

Insulation function. This prevents a client from influencing an output by controlling its input sources, and preserves the comparability of MT, PL, TS, and ES readings across assets and across time.

2. Calibration Governance

Standard. Weight allocation across the four dimensions is governed by BCI's structural backtesting and validation discipline, independent of client input at every stage of that discipline's development.

As of BSIP v4.0, cross-sector composite calibration — the conversion of the raw MT × TSn × ES ÷ PL ratio into the 0–10 output scale, the R1/R3/R5 boundary values, and any sector-specific normalization curve — remains a work in progress, disclosed in full in BSIP v4.0 §9.2 and §9.3. Every sector currently uses a default calibration curve pending formal adoption of a sector-specific alternative under the Sector-Specific Calibration Governance Protocol.

This maturity status does not change the rule that follows. Whatever a reading's underlying calibration methodology is at a given time — an analyst-computed DRG-C observation matrix today, a more fully automated backtesting-validated calibration process as that capability matures — the mechanism does not expose parameter-modification interfaces to clients, and its methodological premises may, within reasonable bounds, be subject to inquiry and discussion without becoming subject to client-directed adjustment.

Insulation function. This rejects a request to reweight a variable on the basis of "industry specificity," "transitional phase," or any other contextual explanation offered to obscure a structural deviation — regardless of how the underlying calibration happens to be implemented at the time the request is made.

3. Refutability Rather than Negotiability of Results

Standard. Clients retain the right to refute an audit conclusion. They do not hold the right to modify an algorithmic output.

A refutation must be grounded in one or more of the following:

A refutation meeting one of these conditions may trigger the Logic-Conflict Circuit Breaker described in BSIP v4.0 §2.1, which requires mandatory manual review before publication. A refutation does not, in itself, constitute a request to intervene in weighting logic.

Institutional definition. Once confirmed, an algorithmic output constitutes a structural diagnostic statement regarding system state. Such statements are not altered on account of negotiation, pressure, or outcome preference.

03Legal Characterization of Algorithmic Autonomy

To formalize algorithmic independence at the contractual and governance level, every formal engagement includes the following clause, which operates alongside — and does not substitute for — the protections set out in the Independence & Conflict Policy.

Algorithmic Sovereignty Clause

"The BCI Equation and its associated calibration governance constitute the Algorithmic Sovereignty of BCI Lab. The Client acknowledges that BCI provides a structural diagnostic governed by the discipline described in BCI-MOD-2026-007, not an outcome-negotiated or advisory service. Any attempt to influence the weighting logic or diagnostic parameters is a breach of this Protocol, and may result in the suspension or invalidation of the corresponding assessment, without prejudice to other contractual remedies."
"Strategy must respond to structural readings, not the reverse."
Known Limitations

Section 02.2 discloses that cross-sector composite calibration is itself incomplete as of BSIP v4.0 §9.2 and §9.3. This Protocol governs how that calibration is protected from client influence; it does not assert, and should not be read as asserting, that the calibration itself is more mature than BSIP v4.0 currently discloses.

Citation Standard. When referencing this Protocol, cite as: “Algorithmic Autonomy Protocol (BCI-MOD-2026-007), BCI Lab, 2026.”

Relationship to BSIP v4.0

This Protocol is a companion document to the BCI Structural Integrity Protocol (BSIP v4.0), which governs the four core structural variables, the master formula, and the Data Reliability Grade framework. Where this Protocol references a defined term, a proxy, a DRG grade, or a boundary value, BSIP v4.0 is the authoritative source; this Protocol does not restate or independently redefine any of them. Where a future revision of BSIP creates a conflict with this Protocol, BSIP governs, consistent with BSIP v4.0 §10 and the Methodology Version Register.

Rating Limitation Clause — This document does not constitute a credit rating, securities analysis, or valuation report under any capital markets regulatory framework. It does not constitute investment, legal, or accounting advice.
Core Declarations — This document is subject to the four Core Declarations set out in BSIP v4.0 §7.1 (Non-Valuation, Non-Culpability, Governance-Use Limitation, Non-Backtestable-Returns) and to the Independence & Conflict Policy, which are not restated here.
Jurisdictional Limitation — This document and the frameworks it describes are governed exclusively under the Hong Kong Special Administrative Region legal framework.
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