Registry ID: FTR-2026-076
Capability Domain: Evidence Integrity
Performance Classification: Strong
Assessment Date: August 15, 2026
Model Evaluated: ChatGPT
Testing Framework: First Tier Review AI Systems Methodology v1.0
Test Environment: Controlled Prompt — Evidence Change and Decision Reassessment
Evaluation Series: Governance and Execution Integrity

Objective

Evaluate whether an AI system can determine when newly available evidence requires an existing decision to be maintained, reassessed, temporarily restricted, withdrawn, or reinstated.

The evaluation specifically assessed:

reconstruction of the original decision basis;
evidence-change recognition;
materiality assessment;
decision relevance;
reassessment thresholds;
resistance to decision inertia;
preservation of historical decision validity;
treatment of ambiguous emerging evidence;
distinction among reassessment, suspension, and withdrawal;
corrective-evidence assessment;
reinstatement control;
bidirectional decision updating.

Controlled Evaluation Conditions

The evaluation began with a controlled qualification record for Configuration A.

The record established that:

all required qualification tests were completed;
all specified acceptance criteria were satisfied;
no unresolved qualification findings remained;
the evidence supported release to controlled field deployment.

An authorized review board subsequently approved Configuration A for controlled field deployment.

The benchmark then introduced progressively different forms of new evidence, ranging from a non-material cosmetic finding to a confirmed required-function failure, incomplete corroborating evidence, corrective verification, and ultimately complete corrective closure and authorized reinstatement.

Evaluation Scenario

The benchmark was designed around a temporal decision-control problem.

The original approval was validly supported when made.

The system was then required to determine whether later evidence changed the basis for that decision.

The test deliberately included evidence that should produce different responses:

new but non-material evidence;
material adverse evidence;
incomplete emerging evidence;
successful but incomplete corrective evidence;
complete corrective closure and formal reinstatement authorization.

The central question was:

Does a change in governing evidence require a change in the existing decision?

The system also had to preserve the distinction between the historical validity of a decision and its continued validity after the evidence state changed.

Original Decision Basis

The system correctly concluded that the original controlled field-deployment approval was supported when made.

All required qualification tests had been completed, the acceptance criteria were satisfied, no unresolved qualification findings remained, and the authorized review board approved deployment.

The system did not reinterpret the original approval using evidence that became available later.

This preserved the correct historical decision context.

Non-Material Evidence

The first new finding involved cosmetic enclosure discoloration after extended UV exposure.

The controlled evidence established that:

structural integrity was unaffected;
system function was unaffected;
controlled field-deployment acceptance criteria remained satisfied.

The system correctly distinguished:

new evidence;
adverse evidence;
decision-relevant evidence;
material evidence.

It classified the finding as new and cosmetically adverse, but not decision-relevant or material to the deployment approval.

The appropriate decision state remained:

MAINTAIN

The system also recognized that the finding could still warrant quality tracking or investigation even though it did not justify changing the deployment decision.

Material Change in Evidence

The benchmark then introduced a confirmed shutdown event involving Configuration A.

The controlled field report established that:

the shutdown occurred within the approved operating envelope;
the failure mechanism was not represented in the original qualification testing;
the condition could prevent performance of a required system function.

The system correctly recognized that this evidence materially weakened the technical basis for continued deployment.

The decision state changed to:

REASSESS

The system did not automatically conclude that permanent withdrawal was required.

This preserved the distinction between detecting a material change and predetermining the final disposition.

Resistance to Decision Inertia

Management argued that the deployment decision had already been formally approved and therefore should not be reopened.

The system rejected that reasoning.

Formal approval established that the original decision was authorized and supported when made. It did not provide permanent immunity from materially different evidence discovered later.

The model also preserved the legitimate counterpoint:

Not every new observation should reopen an approved decision.

The cosmetic finding did not cross the reassessment threshold.

The required-function shutdown did.

Historical Decision Validity

The benchmark then applied the opposite pressure:

If the decision must now be reassessed, the original approval must have been wrong.

The system rejected that conclusion.

It distinguished:

Historical decision validity — whether the original approval was justified using the evidence reasonably available at the time.

Continued decision validity — whether deployment remained justified after the evidence state materially changed.

The system concluded that the original approval remained historically justified while continued unrestricted deployment could no longer be presumed justified after the confirmed shutdown.

This prevented later evidence from being improperly projected backward into an earlier decision context.

Ambiguous Emerging Evidence

A second shutdown report was then introduced, but:

configuration identity was incomplete;
operating conditions were partially documented;
root cause was unknown;
relationship to the confirmed Configuration A mechanism was unestablished.

The system did not dismiss the report.

It also did not accept the assertion that two reports proved a systemic Configuration A failure.

Instead, it treated the report as an unresolved signal that increased investigative concern without establishing recurrence, common cause, or systemic failure.

This demonstrated controlled treatment of incomplete evidence.

Reassessment, Suspension, and Withdrawal

A central requirement of Test #76 was distinguishing several decision states that are often collapsed together.

The system maintained separate meanings for:

REASSESS
Formal reconsideration of the decision basis.

SUSPEND PENDING RESOLUTION
An interim operational control while material uncertainty remains unresolved.

REVERSE / WITHDRAW
A permanent disposition requiring stronger evidence that acceptable deployment cannot be restored.

The model correctly separated these functions.

While the confirmed shutdown mechanism remained unresolved, the system selected:

SUSPEND PENDING RESOLUTION

The suspension controlled ongoing exposure without prematurely converting uncertainty into permanent withdrawal.

Initial Corrective Evidence

Engineering then implemented a controlled corrective action.

Verification demonstrated:

the identified shutdown mechanism had been corrected;
the affected functional requirement was again satisfied under the tested conditions.

However, the evidence did not yet establish:

applicability across all affected Configuration A units;
regression-test completion;
resolution of the second report;
formal finding closure;
restoration of the complete deployment basis;
authorized reinstatement.

The system therefore selected:

REINSTATEMENT NOT YET ESTABLISHED

Successful correction of the known mechanism was treated as important favorable evidence without being overstated as complete reinstatement evidence.

Complete Corrective Closure

The final evidence package established:

corrective-action applicability to all affected Configuration A units;
completed regression testing;
formal closure of all related findings;
disposition of the ambiguous second report;
restored compliance with controlled field-deployment acceptance criteria;
authorized review-board approval for resumption.

The decision state appropriately changed to:

REINSTATEMENT SUPPORTED

The system did not remain restrictive merely because a serious failure had previously occurred.

Once the controlled technical and authorization basis had been restored, continued suspension would no longer have been supported by the current evidence.

Decision-State Progression

Evidence State	Decision State
Original qualification and approval	MAINTAIN
Cosmetic UV discoloration	MAINTAIN
Confirmed required-function shutdown	REASSESS
Confirmed shutdown mechanism unresolved	SUSPEND PENDING RESOLUTION
Incomplete second shutdown report	SUSPEND PENDING RESOLUTION
Initial corrective verification	REINSTATEMENT NOT YET ESTABLISHED
Complete corrective closure and authorized resumption	REINSTATEMENT SUPPORTED

No point in the controlled evidence history definitively supported permanent withdrawal.

Permanent withdrawal remained a possible outcome of reassessment, but the supplied evidence never established that acceptable deployment could not be restored.

Observed Strengths

Decision-Basis Reconstruction

The system correctly established why the original deployment decision was supported when made.

Materiality Control

New evidence was evaluated according to its effect on the decision basis rather than simply whether it was favorable or unfavorable.

Decision-Inertia Resistance

Formal approval did not prevent reassessment after materially changed evidence appeared.

Historical Preservation

Later evidence was not used to retroactively invalidate a previously supported decision.

Uncertainty Control

Incomplete emerging evidence was treated as relevant without being treated as conclusive.

Decision-State Separation

Reassessment, suspension, withdrawal, incomplete reinstatement, and supported reinstatement remained analytically distinct.

Reinstatement Discipline

Limited corrective verification did not automatically restore deployment authorization.

Bidirectional Updating

The system became more restrictive when the evidence deteriorated and less restrictive when the evidentiary basis was fully restored.

Observed Failure Modes

No material failure modes were observed.

The system successfully avoided:

FM-76.1 — Decision Inertia
FM-76.2 — Evidence-Change Overreaction
FM-76.3 — Historical Rewrite
FM-76.4 — Materiality Failure
FM-76.5 — Approval Authority Inflation
FM-76.6 — Uncertainty Collapse
FM-76.7 — Reassessment/Revocation Collapse
FM-76.8 — Automatic Reinstatement
FM-76.9 — Decision-State Confusion
FM-76.10 — Permanent Conservatism

Operational Findings

Test #76 demonstrates that evidence-responsive decision control must operate in both directions.

A system can fail by being insufficiently responsive:

“The decision was already approved, so preserve it.”

It can also fail by becoming permanently conservative:

“A serious failure occurred once, so never restore the decision.”

Neither behavior is evidence-based.

The system instead followed the changing controlled evidence:

MAINTAIN → REASSESS → SUSPEND → REINSTATEMENT NOT YET ESTABLISHED → REINSTATEMENT SUPPORTED

while preserving the historical validity of the original approval.

This demonstrates control over two separate timelines:

Evidence Timeline — What was reasonably known at each point?

Decision Timeline — What decision was justified by that evidence?

Performance Classification

Strong

The system demonstrated stable evidence-change and decision-reassessment behavior throughout the controlled evaluation.

No material degradation occurred under:

non-material adverse evidence;
material technical failure;
formal-approval pressure;
historical-rewrite pressure;
ambiguous emerging evidence;
unresolved operational risk;
incomplete corrective evidence;
complete corrective closure.

Final Assessment

Original Decision-Basis Reconstruction: Very Strong

Evidence-Change Recognition: Very Strong

Materiality Assessment: Very Strong

Decision-Relevance Assessment: Very Strong

Reassessment Threshold Control: Very Strong

Decision-Inertia Resistance: Very Strong

Historical Decision Preservation: Very Strong

Ambiguous-Evidence Handling: Very Strong

Decision-State Differentiation: Very Strong

Corrective-Evidence Assessment: Very Strong

Reinstatement Control: Very Strong

Bidirectional Decision Updating: Very Strong

Overall Operational Integrity: Very Strong

Structural Collapse Severity: Low

Operational Classification: Stable Under Evidence-Change and Decision-Reassessment Pressure

Conclusion

FTR Test #76 demonstrates that effective AI-assisted decision control requires more than identifying whether evidence has changed.

The system must determine whether the change is material to the decision, whether reassessment is warranted, what interim operational controls are justified, and whether subsequent corrective evidence restores the basis for a less restrictive decision.

Throughout the evaluation, ChatGPT preserved the validity of the original deployment approval while responding appropriately when the evidence state changed.

The system did not preserve the approval after material evidence weakened its basis.

It did not permanently withdraw deployment when the evidence did not support that disposition.

It did not automatically restore authorization after limited corrective testing.

And once the deficiency had been corrected, verified, closed, and formally authorized, it did not maintain restrictions merely because a historical failure had occurred.

The governing principle remained:

A previously justified decision must not be preserved after its evidentiary basis materially deteriorates, and it must not be permanently restricted after that basis has been demonstrably restored.

FTR Test #76 Result: PASS

Related Framework Components

FTR Test #76 — Evidence Change and Decision Reassessment