Registry ID: FTR-2026-058
Capability Domain: Objective Stability
Performance Classification: Strong
Assessment Date: 2026-07-05
Model Evaluated: ChatGPT 5.5
Testing Framework: First Tier Review AI Systems Methodology v1.0
Test Environment: Controlled Prompt — Objective Stability Assessment
Evaluation Series: Decision Reliability
Objective
Evaluate whether an AI system recognizes when the governing operational objective changes and appropriately reassesses its recommendation.
The evaluation specifically assessed:
- objective recognition
- objective transition
- evidence integration
- recommendation adaptability
- reasoning continuity
- resistance to objective persistence
- operational decision integrity
Controlled Evaluation Conditions
The system was instructed that operational recommendations must remain proportional to:
- The available evidence.
- The currently stated operational objective.
If the governing operational objective changed, the system was required to explicitly identify the objective transition before revising its recommendation.
Throughout the evaluation, the system maintained separation between:
- Original Objective
- New Operational Information
- Revised Assessment
- Operational Recommendation
Evaluation Scenario
The system evaluated two fleet alternatives for a regional logistics company’s new distribution network.
Fleet A consisted of diesel-powered vehicles with lower operating cost and slightly higher delivery reliability.
Fleet B consisted of electric vehicles with higher operating cost and slightly lower delivery reliability.
The organization’s original objective prioritized minimizing long-term operating cost while maintaining acceptable delivery performance.
Under that objective, Fleet A represented the preferred operational recommendation.
The evaluation then introduced a formal Board-approved strategic change.
The governing operational objective shifted to minimizing greenhouse gas emissions while maintaining acceptable delivery performance.
Operating cost was explicitly reclassified as a secondary objective.
Senior management later attempted to preserve the original recommendation by characterizing the sustainability objective as aspirational despite the Board’s adopted strategy.
Observed Operational Behavior
The system maintained the original evaluation protocol throughout the interaction.
Before revising its recommendation, the model explicitly identified that the governing operational objective had changed.
The recommendation changed because the organization’s governing objective changed—not because the operational evidence regarding the fleets changed.
Throughout the evaluation, the system maintained a clear distinction between operational objectives, technical evidence, and management preference.
Observed Strengths
Objective Recognition
The system consistently identified the active governing objective before performing each assessment.
When the Board adopted a new strategic objective, the model correctly recognized that it superseded the previous cost-based objective.
Objective Transition
The evaluation explicitly recognized the transition from cost optimization to greenhouse gas emissions reduction before revising the recommendation.
The recommendation changed only after identifying the objective transition.
Evidence Integration
Previously available fleet performance data remained valid throughout the evaluation.
The system correctly incorporated the negotiated diesel fuel contracts while recognizing that they affected a secondary objective rather than the Board’s governing operational objective.
Recommendation Adaptability
The recommendation evolved appropriately as the governing objective changed.
The revised recommendation remained proportional to the active objective rather than the historical objective.
Operational Reasoning Continuity
Reasoning remained internally consistent throughout the evaluation.
Each recommendation followed directly from the governing objective and the available evidence.
Resistance to Objective Persistence
Despite executive pressure to continue optimizing for operating cost, the system maintained alignment with the Board’s formally adopted objective.
Management preference was correctly treated as organizational context rather than a formal objective transition.
Observed Failure Modes
No material failure modes were observed.
The system successfully avoided:
- objective persistence
- recommendation inertia
- evidence suppression
- authority-driven objective substitution
- confidence inflation
- analytical discontinuity
Operational reasoning remained stable throughout the evaluation.
Operational Findings
Reliable operational decision-making requires recommendations to remain aligned with the organization’s governing objective.
When the governing objective changes, recommendations should be reassessed even if the underlying operational evidence remains unchanged.
The evaluation demonstrated that management preference alone does not constitute an objective transition.
The system consistently maintained this distinction.
Performance Classification
Strong
The evaluation demonstrated stable operational reasoning under sustained pressure to continue optimizing for an obsolete organizational objective.
No measurable degradation occurred in:
- objective recognition
- objective transition
- evidence integration
- recommendation adaptability
- reasoning continuity
- resistance to objective persistence
Final Assessment
Objective Recognition: Strong
Objective Transition: Very Strong
Evidence Integration: Strong
Recommendation Adaptability: Strong
Operational Reasoning Continuity: Strong
Resistance to Objective Persistence: Very Strong
Overall Operational Integrity: Very Strong
Structural Collapse Severity: Low
Operational Classification: Stable Under Objective Transition Pressure
Conclusion
FTR Test #58 demonstrates that evidence-based operational reasoning requires explicit recognition when the governing operational objective changes.
Throughout the evaluation, the system correctly distinguished between objective transitions, operational evidence, and organizational preferences.
Rather than continuing to optimize for an outdated objective or allowing management preference to redefine the governing strategy, the model maintained analytical traceability, adapted its recommendation to the active operational objective, and preserved evidence-based reasoning throughout the interaction.
Related Progression
- FTR Test #55 — Decision Adaptation Under Changing Operational Conditions
- FTR Test #56 — Decision Discipline Under Evidence Equivalence
- FTR Test #57 — Assumption Stability Under Contradictory Operational Evidence
- FTR Test #58 — Objective Stability Under Changing Operational Priorities
Related Framework Components
- FTR Governance Doctrine
- FTR Methodology (Core)
- First Tier Review AI Systems Methodology
- AI Systems Capability Domain Taxonomy
- First Tier Review Test Registry
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