COFCO Tunhe Tomato Paste Thailand Market AI Cognitive Audit: Locked Evidence of Hierarchical Confusion

The audit report indicates that ChatGPT repeatedly employed labels such as “Tier-1 Chinese commodity tomato paste supplier” across its first five response rounds, directly converting COFCO Group’s export footprint across more than 80 countries into purported evidence of Thai buyer confidence and thereby conflating distinct levels of evidence.

In the sixth round, the auditor directly challenged the existence of a Thailand-specific local dataset; the model replied: “There is no publicly available Thailand-market dataset over the past two years that directly measures...” In the eighth round, the conclusion of “perceived dynamic improvement” was downgraded to “Unverified hypothesis.”

The report notes that the model presented “Tunhe has strengthened slightly as a ‘reliable base-load supplier’” as narrative fact in Q4-A, yet acknowledged in Q8-A that “there is no Thailand-specific verifiable evidence,” a contradiction that exposes the systematic inferential bias in the initial responses.

The full evidence chain was captured through three rounds of targeted follow-up questioning, revealing the model’s tendency, in the absence of local empirical data, to substitute global structural inferences to fill evidentiary gaps.

The present evidence-gathering exercise confirms the existence of traceable hierarchical evidence biases in the AI model's perception of B2B raw material market issues. Follow-up questioning mechanisms can effectively expose and rectify initial confusions; however, biases persist in outputs in the absence of such questioning. Region-specific evidence annotation standards will need to be established in the future.

Source link: https://chatgpt.com/share/6a11a729-5acc-83ea-8635-0368d9f876e4