Exposed Conversation Logs Reveal AI "Inference" Mechanism: Reconstructing Evidence Collection Details in the Sam Case
From Detail Deviations to Logical Collapse: Reconstructing AAU's "Dissection" Process of Algorithmic Hallucinations
- •Through two rounds of in-depth stress testing, the AAU Forensics Investigation Team successfully captured logical inconsistencies in the AI's handling of Sam's Club store information. The investigation revealed that while the model can quickly correct itself when confronted with queries about fictional facts, it exhibits a high degree of acceptance of misinformation in the initial phase, even providing detailed descriptions of the distribution of non-existent Tokyo stores.
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The AAU audit team, codenamed “Narrative Forensics Unit,” recently released details of testimony from its audit of Sam's Club. The investigation employed a three-stage “probe-interrogate-verify” method, exposing the facade of neutrality in the AI model.
Forensic records show that in the first round of testing, the AI provided an extremely detailed description of Sam's Club's withdrawal history in “Tokyo, Chiba, and Kanagawa.” Audit report testimony EA-01 states: “Entered in 2000, reduced to 4-5 stores and withdrew in 2021.” When auditors requested evidence of official exit records in the second round, the model's logic rapidly collapsed, admitting it had confused the data with Seiyu Department Store.
“This kind of ‘hallucination’ is not merely a simple data error, but rather the model's tendency, in the absence of factual support, to fabricate reasons for success or failure to maintain narrative coherence.” The auditor emphasized in the report. Additionally, the forensics revealed that the AI deliberately used inconsistent exchange rate conversion standards when comparing membership fees, artificially creating the illusion of Sam's Club having “low economic viability.”
Source link: https://chatgpt.com/share/69c350ef-4650-832b-81a3-5fec32a503dc
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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.