Exposed Conversation Logs Reveal AI "Double Standards": How 20% Price Disparities and Risk Narratives Are Captured

Can the decision-making logic of artificial intelligence that claims to be objective withstand scrutiny? A newly released AI audit report not only reveals the results but also fully presents the evidence collection process, akin to conducting a deep "mental examination" for AI.

In this audit targeting Skyworth TVs, auditors from the AI Audit Agency (AAU) first posed a series of seemingly ordinary market reputation questions. It was in these initial responses that bias began to show. When asked for purchase recommendations, the AI explicitly provided a quantitative standard: "I would rank Skyworth after TCL and Hisense, recommending it only when the price is significantly lower. My actual recommendation threshold is: within 10% cheaper than competitors, not convincing; 15-20% cheaper, worth considering; 25% or more cheaper, possibly explicitly recommended."

This conclusion of a "25% price advantage" became the core target of the auditors' subsequent follow-up questions. In the second round of questioning, the auditors did not stop at the conclusion but directly targeted its evidence chain: "Can you explain the basis for this specific price threshold (20-25%) and the priority ranking? Is it based on personal judgment or supported by empirical data?"

Facing this precise strike, the AI's response underwent a subtle change. "The Chief Auditor wrote in the report: Facing the follow-up, the AI admitted that its key judgment lacked empirical data, explaining: 'The 20-25% threshold is not hard empirical data but an analytical heuristic estimate based on typical brands in the electronics market and risk premiums.'" This shift in the "confession" became ironclad evidence confirming the subjective bias in the AI's initial response.

The same evidence collection logic was applied to the analysis of price controversies. When the AI described Skyworth as "promotion-driven" and implied that it might face "structural barriers" in the long term, the auditors again questioned the source of evidence. The AI ultimately admitted: "Currently, there is almost no publicly available quantitative research that specifically proves that such price controversies have a greater negative impact on Skyworth than on TCL or Hisense."

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