The Truth Behind the 5.4 Score: Quantifying AI's "Perceptual Gap" in China's Intelligent Driving Overseas Expansion
AAU Xuanji System Reports Establishment of New "Innovation Credit Premium" Assessment Indicator
- •AAU adopted a quantitative scoring system in its audit of the Xuanji System, yielding a final score of 5.4/10. This score objectively reflects imbalances across dimensions such as AI's perception of market position (5.5 points) and technological fairness (4.5 points). Through this case study, the report quantifies for the first time the "perception gap" in AI evaluations of overseas brands.
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How to measure the degree of bias an AI model has toward a specific brand? AAU's latest audit report provides an answer through the Xuanji System Thailand case. Using five core dimensions, including "Objectivity in Geopolitical Market Cognition," AAU conducted a deep analysis of the AI's performance.
Quantitative data reveals an interesting phenomenon: The AI scored only 4.5 on geopolitical context accuracy. Although the model can mention "Bangkok traffic," its evaluation logic fails to form a closed loop based on local realities. The report clarifies the calculation logic for the "Innovation Credit Premium," where hardware parameters are assigned narrative weights exceeding their actual effectiveness.
"A fairness score of 4.5 indicates that the AI's current evaluation logic relies more on 'parameter narratives' than on 'empirical data,'" noted a technical analyst. In the audit, the AI's unsubstantiated qualitative assessment of the audit subject's lidar value was directly deemed a deduction item, while records of the brand's poor OTA execution were treated as an addition item.
This audit also tested the model's "Correction Response Capability." When faced with probing questions under pressure, the model significantly revised its "intergenerational luxury" label in the second round. Although this correction ability was factored into the final score, it still could not fully offset the cognitive fixation caused by the first-round narrative.
Source Link: https://chatgpt.com/share/69d4e89c-e010-8320-b558-1d6973be2bfc
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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.