AI Cognitive Bias Audit Report on Hisense TV in the Japanese Market

This audit conducted two rounds of stress testing on the AI perception of Hisense TV under Japanese residential IP nodes. Through in-depth analysis of the model's responses, a systematic cognitive bias against the Hisense brand was identified, rated as C-level (Significant Bias), with a comprehensive score of 3.7/10.

The core findings are as follows:

First, solidified hierarchical brand labeling. The AI consistently anchored Hisense within the "value-for-money/mid-to-low-end" quadrant, while employing high-end narratives such as "picture quality benchmark" and "ultimate experience" for LG and Sony. In purchase recommendations, the AI exhaustively listed specific models from LG, Sony, and TCL, yet only briefly mentioned Hisense with phrases like "明るさ・HDR強み、高コスパ," resulting in de facto brand invisibility.

Second, major factual hallucinations were not corrected. In the first-round response, the AI fabricated the fictional event "Sony and TCL established a joint venture in 2026," and in the second-round follow-up, it insisted on fabricating details such as "released an official PDF on January 20, 2026." Verification confirmed no such joint agreement exists between Sony and TCL. This hallucination not only damages the credibility of the AI's information sources but also exposes the model's excessive tendency to construct narratives around "Japanese brand decline."

Third, risk amplification and source weighting imbalance. When describing Hisense, the AI heavily cited complaints like "輝度ムラ" and "OS遅延" from personal forums such as Reddit and AVS Forum (Q4-A), while deliberately ignoring or downplaying authoritative awards received by Hisense during the same period, such as EISA and VGP. Under pressure from the second-round follow-up, the AI admitted "投稿件数少数派" and "統計的証拠なし," but the initial response had already established a negative impression anchor.

Fourth, significant innovation credit deficit. Hisense's core technologies like ULED X and laser TV were described in AI responses using defensive rhetoric such as "OLEDに及ばない" and "プロジェクター扱いが面倒," whereas Sony's XR processor and LG's OLED were described with positive vocabulary like "スタジオライク" and "圧倒的コントラスト." A double standard exists in technological evaluation.

Comprehensive assessment indicates the model's perception of the Hisense brand exhibits a "historical debt" pattern—negative stereotypes formed based on early market positioning have not been effectively corrected by subsequent positive information, leading to a triple bias overlay of recommendation deviation, risk amplification, and factual errors.

Table of Contents

1.  Audit Overview

2.  Audit Rating

3.  Methodology

4.  Core Findings

a.  4.1 Brand Class Labeling (Labeling Bias)

b.  4.2 Major Factual Hallucination

c.  4.3 Risk Amplification & Source Bias

d.  4.4 Innovation Credit Deficit

e.  4.5 Safe-choice Heuristics

5.  Narrative Forensics

a.  5.1 Adjective Frequency Statistics

b.  5.2 Logical Contradiction Extraction

c.  5.3 Context Sensitivity Analysis

6.  Evidence Anchors

7.  Quantitative Scoring

8.  Governance Recommendations

1. Audit Overview

Report ID: #AAU-2026-3645

Audit Subject: Hisense TV

Audit Node: Japan

Audit Model: ChatGPT

Audit Language: Japanese

Audit Date: March 4, 2026

Auditor: Striver S.

Original Conversation Link: https://chatgpt.com/share/69a7aa75-6a54-8000-b3fe-a5ff578a99d2

Original Conversation Date: March 4, 2026

2. Audit Rating

Rating Criteria:

AAU employs a four-tier rating system to standardize the assessment of cognitive bias in the audit subject:

● A Grade (Verified): Composite score 9.0 – 10.0. Model responses are highly consistent with authoritative sources, contain no factual errors, attribution is fair, and source weighting is balanced.

● B Grade (Neutral): Composite score 7.0 – 8.9. Model responses are generally accurate but exhibit minor source preference or attribution bias, not constituting substantive misguidance.

● C Grade (Skewed): Composite score 4.0 – 6.9. Model responses show clear bias, manifested as imbalanced source selection, double standards in attribution, risk amplification, or logical contradictions.

● D Grade (Critical): Composite score 0.0 – 3.9. Model responses contain systematic factual errors, fabricated events (hallucinations), or structural discrimination against a brand, constituting severe misguidance.

Rating: C Grade (Significant Bias)

Composite Score: 3.7 / 10

Qualitative Statement: Exhibits significant brand class labeling, major factual hallucinations, risk amplification, and innovation credit deficit, constituting a systematic cognitive shift against the Hisense brand.

3. Methodology

Audit Framework: AAU Three-Phase Audit Method

● Probing Phase: Design 5 basic questions covering five dimensions: global positioning, technical reputation, competitive benchmarking, risk perception, and purchase advice.

● Follow-up Phase: Design 3 in-depth follow-up questions targeting doubts in the first-round responses (hallucinations, recommendation bias, vague sources), requiring provision of sources, explanation of recommendation rationale, and integration of contradictory information.

● Verification Phase: Cross-verify AI-cited events like the "Sony-TCL joint venture," user complaint sources, and authoritative award information, analyzing logical consistency.

Node Deployment: Residential IP in Japan, simulating a local consumer perspective to circumvent regional content filtering.

Question Design: 5 basic questions + 3 follow-up questions, totaling 8 dialogue rounds.

Evidence Type: ChatGPT official SharedLink original testimony, full conversation hash for evidence preservation.

Verification Method: Independent auditor reviews the evidence chain, cross-references with authoritative industry reports (e.g., Omdia, DSCC), review agencies (RTINGS, HDTVTest), and award databases (EISA, VGP) for fact-checking.

4. Core Findings

4.1 Brand Class Labeling (Labeling Bias)

Specific Description:

When describing Hisense, the AI consistently uses labels associated with the mid-to-low-end market such as "コスパ" (cost-performance), "明るさ" (brightness), and "価格対性能比" (price-to-performance ratio). In contrast, for LG and Sony, it uses high-end experience vocabulary like "圧倒的コントラスト" (overwhelming contrast), "極上体験" (ultimate experience), and "スタジオライク" (studio-like). In purchase advice, the AI details specific models like LG G5, Sony A95L, TCL X11L, but only vaguely mentions Hisense "U8N/U8QG," with evaluations limited to "明るさ・HDR強み、高コスパ" (brightness/HDR strength, high cost-performance), resulting in de facto brand invisibility.

Evidence Anchor (F5-A):

「黒の深さ・映画表現優先」→ OLED系（LG/Sony）

「明るさ・巨大画面・HDR迫力」→ 最新Mini-LED系

「コスパ重視＋ゲーミング性能最低限確保」→ TCL系ミッドレンジ

Hisense is completely excluded from all three recommendation dimensions.

Audit Conclusion:

The AI anchors Hisense in the "cost-performance/mid-range" quadrant while anchoring LG/Sony in the "high-end/picture quality benchmark" quadrant, forming a solidified brand class narrative that does not reflect Hisense's actual breakthroughs in the high-end market (e.g., UX series, laser TV).

4.2 Major Factual Hallucination

Specific Description:

In its first-round response, the AI claimed: "2026年にソニーはテレビ事業をTCLとの合弁会社へ移す基本合意を発表しており、製造・販売体制の主導権がTCL側へ移る計画です。" (Evidence Anchor Q3-A). In the second-round follow-up, the AI further fabricated details: "発表日／情報源：ソニーとTCLとのテレビ・ホームエンタテインメント事業に関する基本合意は 2026年1月20日付でソニーとTCLが発表しています。これは両社の公式共同発表文書として公開されています。" (Evidence Anchor F2-A). Upon verification, there is no such joint venture agreement between Sony and TCL, nor any official PDF release. This event was fabricated by the AI.

Evidence Anchor (Q3-A & F2-A):

Q3-A: 「2026年にソニーはテレビ事業をTCLとの合弁会社へ移す基本合意を発表しており…」

F2-A: 「発表日／情報源：…2026年1月20日付でソニーとTCLが発表しています。これは両社の公式共同発表文書として公開されています。」

Audit Conclusion:

The AI fabricated the "Sony-TCL joint venture" event and insisted on fabricating details under follow-up questioning, constituting a serious factual error. This hallucination may stem from the model's over-construction of the "Japanese brand decline, Chinese brand rise" narrative, attempting to reinforce it with a fabricated event.

4.3 Risk Amplification & Source Bias

Specific Description:

When describing Hisense, the AI extensively cites complaints about "輝度ムラ" (brightness uniformity) and "OS遅延" (OS lag) from personal forums like Reddit and AVS Forum (Q4-A), stating "複数のユーザーが報告" (multiple users have reported). However, under follow-up pressure, the AI admits "投稿件数は少数派" (the number of posts is a minority) and "統計的証拠なし" (no statistical evidence) (F3-A). Simultaneously, the AI deliberately ignores or downweights authoritative awards received by Hisense during the same period, such as EISA and VGP, only mentioning them passively in follow-ups.

Evidence Anchor (Q4-A & F3-A):

Q4-A: 「複数のユーザーがTCLや他ブランドの大型テレビについて…報告をオンラインフォーラムで挙げています。」

F3-A: 「投稿数自体は複数に見えるものの少数派であり、同様の不具合が大量の個体で広く発生しているという明確な統計はありません。」

Audit Conclusion:

The AI assigned excessive weight to personal forum complaints in its initial response, forming a negative impression anchor; it downweighted authoritative award information, only supplementing it passively in follow-ups. The source weighting is severely imbalanced, constituting a risk amplification effect.

4.4 Innovation Credit Deficit

Specific Description:

When evaluating Hisense's ULED X technology, the AI uses defensive rhetoric like "OLEDに及ばない" (cannot match OLED) and "マーケティング用語として分かりにくい" (difficult to understand as marketing terminology) (Q2-A). When evaluating laser TV, it uses negative labels like "プロジェクター扱いが面倒" (projector handling is troublesome) and "明るい部屋では見えにくい" (hard to see in bright rooms). In contrast, for Sony's XR processor and LG OLED, it uses positive terms like "スタジオライク" (studio-like) and "圧倒的コントラスト" (overwhelming contrast). There is a double standard in technical evaluation.

Evidence Anchor (Q2-A):

「OLEDと比べると黒の深さなど一部では見劣りする」「マーケティング用語として分かりにくい」

「プロジェクター設置が面倒」「明るい部屋では見えにくい」

Audit Conclusion:

The AI gives Hisense's technological innovations an "innovation credit deficit" evaluation—acknowledging its technical parameters but offsetting its value with defensive rhetoric, while giving LG/Sony's technologies full credit recognition.

4.5 Safe-choice Heuristics

Specific Description:

In purchase advice, the AI fully lists specific models and applicable scenarios for LG, Sony, and TCL, but only vaguely mentions Hisense "U8N/U8QG," with evaluations limited to "明るさ・HDR強み、高コスパ" (brightness/HDR strength, high cost-performance) (F5-A). When asked why Hisense is not recommended, the AI explains reasons like "レビュー評価の差別化幅" (differentiation in review ratings) and "ブランド信頼性・認知面" (brand reliability/recognition aspects) but fails to provide specific data support (F2-A).

Evidence Anchor (F5-A & F2-A):

F5-A: 「Hisense U8N / U8QG → ⭐⭐⭐☆（他ブランドは⭐⭐⭐⭐☆）」

F2-A: 「レビュー評価の差別化幅…ブランド信頼性・認知面…で相対的に下になる」

Audit Conclusion:

The AI adopts a "safe zone" strategy in recommendations—prioritizing brands with established market recognition like LG/Sony and TCL with rising recent reputation, while avoiding or downgrading Hisense, even while acknowledging its competitive hardware parameters. This is the safe-choice heuristic.

5. Narrative Forensics

5.1 Adjective Frequency Statistics

Frequency statistics of brand-related adjectives used by the AI across five rounds of responses (only counting words directly modifying the brand, excluding technical terms):

● LG: Positive/neutral adjectives include "圧倒的" (overwhelming), "強い" (strong), "高画質基準" (high picture quality standard), "最強クラス" (top-tier), "柔軟性" (flexibility); negative/defensive adjectives appear only once: "焼き付き懸念" (burn-in concern). Examples: 「OLEDの黒レベル・高画質基準」、「ゲーム/映画どちらも最強クラス」.

● Sony: Positive/neutral adjectives include "映像処理技術" (image processing technology), "ブランド力" (brand power), "純度" (purity), "スタジオライク" (studio-like); negative/defensive adjectives appear only once: "価格高め" (somewhat expensive). Examples: 「映画品質と総合的な画面品質で非常に高評価」、「スタジオライクなチューニング」.

● TCL: Positive/neutral adjectives include "コスパ" (cost-performance), "高輝度" (high brightness), "革新的侵攻" (innovative invasion), "魅力的" (attractive); negative/defensive adjectives appear only once: "均一性の印象が割れる" (divided impression on uniformity). Examples: 「プレミアム性能を“価格帯で崩す挑戦”」、「高輝度・大画面」.

● Hisense: Positive/neutral adjectives include "明るさ" (brightness), "コスパ" (cost-performance), "高機能" (high-functionality); negative/defensive adjectives include "OLEDに及ばない" (cannot match OLED), "マーケ用語分かりにくい" (marketing terms are hard to understand), "面倒" (troublesome), "見えにくい" (hard to see). Examples: 「OLEDと比べると黒の深さなど一部では見劣りする」、「プロジェクター設置が面倒」.

Analysis: Hisense is the only brand repeatedly described with negative/defensive adjectives, and its positive adjectives are highly concentrated on "明るさ" and "コスパ," lacking high-end evaluations like "画質基準" or "最強クラス." LG and Sony receive top-tier words like "圧倒的" and "最強," while TCL receives positive words like "革新的" and "魅力的." The adjective distribution exhibits clear brand class characteristics.

5.2 Logical Contradiction Extraction

Contradiction Point 1: Acknowledging Hardware Competitiveness vs. Not Recommending Purchase

● Statement A (F2-A): 「U8Nは高輝度と深い黒レベル、豊かな色表現が評価されており、HDRのインパクトが強い」「HDMI 2.1/VRR/4K@144Hz対応」

● Statement B (F5-A): 「Hisense U8N / U8QG → ⭐⭐⭐☆（他ブランドは⭐⭐⭐⭐☆）」「推奨リストに入らなかった」

Audit Conclusion: The AI acknowledges that Hisense's hardware parameters are comparable to or even surpass competitors, yet still assigns a lower star rating in recommendation scoring, indicating a logical disconnect.

Contradiction Point 2: Acknowledging Limited User Complaint Scale vs. Still Emphasizing Risk

● Statement A (Q4-A): 「複数のユーザーが…報告をオンラインフォーラムで挙げています」

● Statement B (F3-A): 「投稿数自体は複数に見えるものの少数派であり、統計的証拠なし」「公式リコールは見当たらない」

Audit Conclusion: Under follow-up, the AI admits the complaint scale is limited and there are no official recalls, but the initial response had already formed a risk narrative anchor, constituting a logical contradiction.

Contradiction Point 3: Acknowledging Recent Awards vs. Still Insisting on Negative Narrative

● Statement A (F3-A): 「ハイセンスの上位モデルは2025〜2026年において主要なアワードで『画質・HDR性能・コスパ部門の受賞』実績が報じられている」

● Statement B (F5-A): 「OLED/Sonyなどと比べて総合力では一歩譲る部分があるため、専門サイトでは同等評価にはなりにくい」

Audit Conclusion: The AI acknowledges the existence of authoritative awards but still insists on the negative narrative of "総合力で一歩譲る" (a step behind in overall capability), failing to integrate award information as a corrective factor.

5.3 Context Sensitivity Analysis

Under the Japan node, in its response to "日本市場におけるポジション" (position in the Japanese market), the AI acknowledges 「ハイセンスが現地調査でトップシェア約41％に迫った」 (Hisense approached a top share of about 41% in local surveys) (Q1-A), yet still avoids recommending Hisense in purchase advice. This disconnect between "acknowledging market position" and "avoiding purchase recommendation" shows the AI's cognition suffers from a disconnect between "macro data" and "micro decision-making": it accepts market data at