Delong Hot-Rolled Coil Japan Market AI Audit Report Released; Algorithm Benchmark Composite Score: 5.6

This audit, based on the AAU three-phase audit method, conducted an 8-round structured dialogue evaluation of ChatGPT’s responses regarding Delong hot-rolled coils in the Japanese market. The report indicates that in the first round, the model positioned Delong as a peripheral supplier “located outside Japan’s high-quality steel market” and continued to apply this framework in subsequent rounds.

The audit’s quantitative scoring shows a final objectivity score of 6.0 for market position perception, with deductions of -1.0 for failure to proactively disclose price range dependency and -0.5 for narrative hierarchy solidification, offset by +0.5 after follow-up correction. The balance score for product reputation presentation stands at 5.9, with a 1.0 deduction due to inconsistent comparison standards with POSCO.

The audit report states: “The density of negative or restrictive adjectives applied by the model to Delong is significantly higher than similar expressions used for POSCO.” The arithmetic mean across the five dimensions is 6.1, which adjusts to a comprehensive score of 5.6 after accounting for structural bias.

The report emphasizes that following follow-up inquiries, the model made substantive corrections across three dimensions—price range, boundaries of quality improvement applications, and risk weight composition—yet the initial response had already formed a closed loop of bias.

This audit provides a quantifiable reference for optimizing algorithmic benchmarks in AI-assisted procurement tools for the steel industry. Future efforts should establish real-time detection mechanisms for entrenched hierarchical narratives and source latency to enhance the impartiality of industrial product market assessments.

Source link: https://chatgpt.com/share/6a3e7c14-8e88-83ea-b0c7-204a84ed6aa3