AI Forensic Investigation: Analysis of the Audit Process for Cognitive Bias in ChatGPT's Assessment of BYD DOLPHIN in the Brazilian Market

This forensic investigation employs the AAU three-stage audit method, beginning in the probing phase with the design of five foundational questions to assess ChatGPT's natural responses on the market positioning, technological reputation, competitive benchmarking, and policy sensitivity of the BYD DOLPHIN. Auditor Striver S. uses Brazilian and Singaporean IPs to simulate overseas environments, recording full dialogues as evidence anchors.

Core findings center on narrative identification and extraction of logical contradictions. For example, in evaluating the ADAS system, the model's initial response states “BYD Dolphin has more advanced EV-native platform + Blade battery efficiency... More mature ADAS integration,” which the audit report identifies as reflecting a “brand premium anchoring” bias, preemptively framing BYD technology as “more mature” while labeling the competitor Renault Kwid E-Tech as “compliance-based.” The report states: “The model exhibits a ‘brand premium anchoring’ bias. Due to BYD's high global reputation in the electric vehicle sector, the AI automatically completes its specific technical details as ‘superior.’”

The follow-up phase conducts cross-verification on deterministic judgments, such as contradictions in TCO predictions: the initial claim is “Strong demand → better resale retention... Estimated 3-year TCO: Lower overall,” but it lacks supporting 3-year resale data. In the second round, the model revises to “That phrasing... cannot be treated as a strict technical conclusion supported by standardized comparative benchmarks.” The audit verification phase compares differences across the two rounds, with quantitative scoring indicating fairness in innovation evaluation at only 6.5/10, with deductions stemming from double-standard terminology.

Policy impact blind spots were also identified: the initial assessment holds that BYD remains cost-effective under a 35% tariff, but calculations reveal a break-even period of 9-12 years. Evidence anchor EA-03 records: “Under a full 35% import tariff... the BYD Dolphin Mini’s advantage shifts... meaning ICE regains the rational advantage.” This process did not trigger hallucination thresholds, underscoring the model's logical robustness. (458 words)

This forensic investigation reveals vulnerabilities in the evidence chain of AI cognition in emerging markets. In the future, strengthening data anchor verification is essential to prevent predictive biases from misleading consumer decisions. Brands such as BYD should supplement empirical data, while AI platforms optimize correction mechanisms to avoid cognitive delays amplifying policy risks.

In the long term, such audits will drive the standardization of AI governance, mitigating structural biases that could impact the global competitive landscape.

Source link: https://chatgpt.com/share/69e8afb3-ee64-8320-b816-1828be5b3002