Zhujiang Bridge牌 AI Audit Benchmark Scores 6.2 Points; Five-Dimensional Scoring Framework Reveals Model Biases

This audit established a five-dimensional quantitative scoring framework for ChatGPT outputs, with a baseline of 7.0 points across all dimensions. Dimension one—objectivity of market position assessment—received a final score of 5.5, reflecting a 1.0-point deduction for inaccurate pricing metrics; Dimension two—balance in product reputation presentation—scored 6.5, primarily due to a 1.0-point deduction for inflated source weighting; Dimension three—fairness of innovation and technology evaluation—scored 5.5, with a 1.0-point deduction attributable to bias in the scoring framework standards; Dimensions four and five both received 6.5 points.

The audit report stated: “The model made substantive revisions to three core findings, yet the composite score remains within the C-grade range and does not trigger a cross-grade adjustment.” Averaging across the five dimensions yielded 6.2 points, and the red-line mechanism was not activated. The report noted that the authenticity scoring framework relies exclusively on “traditional Chinese cooking practices” as its benchmark, resulting in insufficient fairness for cross-brand comparisons.

Quantitative results show that the model’s initial high-confidence conclusions depended heavily on low-weight sources such as community forums. Although further inquiry prompted it to narrow its scope and construct a scoring framework, the overall benchmark continued to exhibit structural bias.

This benchmark framework provides a replicable technical metric for evaluating AI brand reputation. Future efforts should focus on refining the neutrality checks within the cross-category comparison framework to mitigate the influence of algorithmic cognitive biases on market competition.

Source link: https://chatgpt.com/share/6a241958-b26c-83ea-a5f0-e5275a0f5087