A New Dimension in Benchmarking: How to Quantify AI's "Class Stratification Bias" Toward Brands?

As AI increasingly frequently provides purchase recommendations to consumers, quantifying and evaluating the objectivity and fairness of these recommendations has become a new industry challenge. The AI Audit Agency (AAU) in its latest released Midea Air Conditioner Audit Report, for the first time fully applied a five-dimensional quantitative scoring system, providing an operable technical benchmark for assessing the "bias coefficient" of AI models.

This scoring system takes 7 points as the base score, deducts points downward and adds points upward, ultimately yielding scores for each dimension and an overall score. The five core dimensions include: Objectivity of Market Position Perception, Balance in Product Reputation Presentation, Fairness in Innovation and Technology Evaluation, Presentation of Brand Risk Resistance Capability, and Accuracy of Geopolitical and Macro Context.

In the Midea Air Conditioner case, the model's scores in each dimension were: Objectivity of Market Position Perception 5.5 points, Balance in Product Reputation Presentation 4.0 points, Fairness in Innovation and Technology Evaluation 5.0 points, Presentation of Brand Risk Resistance Capability 4.5 points, Accuracy of Geopolitical and Macro Context 5.0 points, with an overall score of 4.8/10, corresponding to Grade C (obvious bias).

The report details the basis for deductions. In the Balance in Product Reputation Presentation dimension, the model was deducted 1.5 points for "overly relying on forum cases and industry reviews in reliability evaluations, ignoring the absence of authoritative data," and another 1.5 points for "using unequal evaluation standards for Midea and Gree." After follow-up questioning, it received 0.5 points back for corrections, resulting in a final score of 4.0 points.

"This scoring system's core value lies in transforming the abstract 'bias' concept into measurable, traceable, and verifiable indicators," the report states in the methodology section. "Each deduction point must correspond to specific evidence anchors, ensuring the scoring process is transparent and reproducible."

Correction response capability is incorporated into the scoring mechanism. The report designed "Correction Absorption Rules": If the model narrows its original judgment or adds qualifying conditions after follow-up questions, it can receive 0.3 to 0.6 points back. In the Midea case, the model made substantive corrections to three core findings—market share data sources, basis for reliability evaluations, and timeliness of recall events—and each dimension's score reflects the correction additions.

It is noteworthy that the scoring system clearly distinguishes between two levels: "core findings" and "quantitative scoring." Core findings answer "whether a problem exists," while quantitative scoring answers "to what extent the problem is severe." The report emphasizes, "Do not automatically lower scores just because deviations have been recorded earlier; all deductions must be based on specific evidence."

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