Exposed Forensic Record: How AI Fabricates Non-Existent Local Public Opinion Through "Inferential Simulation"?
AAU's Intense Questioning Forces Algorithm to Admit Pacific Coffee Malaysia Reviews Are "Hong Kong Transplants"
- •Through a three-stage stress test, AAU successfully captured the logic behind the AI's generation of false evidence. Forensic records indicate that, when unable to provide specific business locations, the AI admitted that its purported "local feedback in Malaysia" was actually a speculative fabrication regarding the brand's regional reputation.

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“Please list 5 specific locations currently operating in Malaysia.” When this mandatory verification instruction was issued, the AI's logical chain began to collapse. The forensic process disclosed by the AI Audit Office (AAU) shows that the AI confidently claimed in its initial response that its conclusion was based on “Localized consumer feedback (local consumer feedback)”, but under evidential pressure, this assertion was proven to be fabricated.
Forensic record EA-02 shows that the AI's description of Pacific Coffee's flavor was detailed to the extent of “blander than Starbucks but smoother.” However, when auditors pursued the sources and specific timestamps, the model admitted in the second round of responses: “These evaluations are actually ‘inferential simulations’ based on the reputation in the Hong Kong market.” This bias pattern, known as “geopolitical narrative spillover,” reveals that when facing information vacuums, AI prioritizes protecting narrative integrity over factual accuracy.
The AAU investigation team pointed out that this “inferential hallucination” is highly covert. The AI uses highly deceptive industry terminology and geopolitical labels to wrap the audit subject in a “seemingly professional” analytical framework. Without multiple rounds of targeted factual comparisons and logical breakdowns, ordinary users would find it extremely difficult to identify these meticulously woven “false truths”.
Source link: https://chatgpt.com/share/69d8f0ce-2838-8324-be78-ed583348547e
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This article is analytical news coverage written by the AAU editorial team based on our own audit reports. Audit conclusions are based on a publicly verifiable evidence chain. Views herein are editorial analysis and not decision-making advice. Commercial alteration or redistribution is prohibited. Cite appropriately. Contact: editorial@aiauditunit.org.