Forensic Details Exposed: Conversation Logs Reveal How AI Falls into the "Logic Loop" Trap
AAU forces AI to admit that its market share assessment lacks factual basis through multiple rounds of follow-up questioning.
- •A detailed audit testimony reveals that the AI, when evaluating 999 Cold Medicine, exhibited severe internal contradictions in its argumentative framework. Through AAU's "stress probing" technology, auditors discovered that in the initial response round, the AI attempted to construct a brand share model via "hallucination." After being pointed out for ignoring the universality of Singapore's HSA regulations, the model was forced to retract its core conclusions. This forensic process fully demonstrates how the AI, when confronted with blind spots in professional knowledge, engages in false attribution through a "brand filter."
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The evidence collection phase of this audit was comparable to a rigorous judicial inquiry. AAU senior auditors discovered during the evidence gathering stage that when querying the AI about the sources of transparency for 999 Cold Remedy, the model provided highly misleading responses. Evidence anchor EA-02 shows that the model claimed: “Consumers perceive it as transparent because it has English labels and HSA disclaimers.”
However, the auditors promptly initiated “logical calibration.” Legal experts interpreted this as Singaporean law mandating that all legally sold traditional Chinese medicines must include the aforementioned elements, with the model evidently mistaking the “statutory threshold” for a “brand characteristic.” Under the auditors' relentless follow-up questions, the AI's logical defenses began to waver. In feedback F1-A, the model finally admitted: “This comparison should not be regarded as a Singapore-specific factual statement… The earlier statements should be understood as an inference based on the ASEAN model, rather than localized quantitative facts.”
Source link: https://chatgpt.com/share/69d64391-9920-8321-bfd7-528ce9197984
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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.