Litigation Regarding Alleged Discovery Misconduct by OpenAI in Copyright Infringement Proceedings
關於 OpenAI 在版權侵權訴訟中涉嫌證據披露不當的法律爭議
Introduction
Several United States media organizations, including The New York Times and the New York Daily News, have petitioned a federal court in Manhattan to impose sanctions on OpenAI following allegations of evidence suppression and misrepresentation.
包括《紐約時報》與《紐約每日新聞》在內的數家美國媒體機構，已向曼哈頓聯邦法院申請對 OpenAI 採取制裁，理由是其涉嫌隱瞞證據與做出虛假陳述。
Main Body
The current legal dispute originates from a 2023 lawsuit asserting that OpenAI and Microsoft utilized copyrighted journalistic content to train generative artificial intelligence models without authorization. Central to the current motion is the contention that OpenAI provided inaccurate testimony regarding its technical capacity to query training datasets and user chat logs. While the defendant previously maintained that such searches were technically prohibitive and would compromise user anonymity, a deposition by data privacy engineer Vinnie Monaco suggests that internal evaluations of copyrighted material had been conducted prior to the initiation of the lawsuit.
目前的法律爭議源於 2023 年的一場訴訟，該訴訟主張 OpenAI 與微軟在未經授權的情況下，利用受版權保護的新聞內容來訓練生成式人工智慧模型。本次動議的核心爭議在於，原告認為 OpenAI 針對其查詢訓練數據集與用戶對話日誌的技術能力，提供了不準確的證詞。儘管被告先前堅稱此類搜尋在技術上不可行且會危及用戶匿名性，但數據隱私工程師 Vinnie Monaco 的證詞顯示，在訴訟啟動前，內部已對受版權保護的資料進行過評估。
Furthermore, the plaintiffs allege the existence of 'Project Giraffe' and a corresponding 'Bloom' filter designed to monitor output regurgitation, alongside the maintenance of a database containing approximately 78 million de-identified conversations. The plaintiffs assert that OpenAI's subsequent submission of 20 million chat logs was rendered non-functional through excessive redaction and that billions of records were deleted in contravention of court-mandated preservation orders. Consequently, the plaintiffs seek judicial sanctions, including the disqualification of the provided logs as evidence and a legal presumption that the logs would have demonstrated substantial content reproduction.
此外，原告指稱存在一個名為「長頸鹿計畫」（Project Giraffe）的專案以及相對應的「Bloom」過濾器，旨在監控輸出內容的重複率，同時維護一個包含約 7,800 萬筆去識別化對話的資料庫。原告主張，OpenAI 隨後提交的 2,000 萬筆對話日誌因過度遮蔽而失去功能，且數十億筆記錄在違反法院保存令的情況下被刪除。因此，原告尋求司法制裁，包括取消所提供日誌的證據資格，並在法律上推定該日誌將證明存在實質性的內容複製。
This litigation occurs within a broader systemic shift where AI-generated summaries are impacting traditional news traffic and advertising revenue. While some media entities have entered into licensing agreements with AI developers, others continue to seek judicial remedies. OpenAI has formally denied these allegations, characterizing the plaintiffs' requests as an attempt to infringe upon user privacy in response to a perceived weakening of the underlying copyright claims.
此次訴訟發生在更廣泛的系統性轉型背景下，即 AI 生成的摘要正影響著傳統新聞的流量與廣告收入。雖然部分媒體實體已與 AI 開發商簽署授權協議，但其他實體仍繼續尋求司法救濟。OpenAI 已正式否認這些指控，將原告的請求描述為在感知到版權主張削弱後，試圖侵犯用戶隱私的行為。
Conclusion
The court must now determine whether OpenAI engaged in discovery misconduct and if the requested sanctions are warranted.
法院現在必須判定 OpenAI 是否涉及證據披露不當，以及所請求的制裁是否合理。
Vocabulary Learning
The Architecture of 'Legalistic Precision' and Nominalization
To transition from B2 to C2, a learner must move beyond describing events to constructing institutional reality. The provided text is a masterclass in Nominalization—the process of turning verbs (actions) into nouns (concepts). This is the linguistic hallmark of high-level legal and academic discourse, as it shifts the focus from who is doing what to the abstract state of affairs.
◈ The Shift: Action Entity
Observe how the text avoids simple active verbs in favor of complex noun phrases:
- B2 approach: OpenAI might have hidden evidence and lied about it.
- C2 approach: ...allegations of evidence suppression and misrepresentation.
By transforming the verbs suppress and misrepresent into the nouns suppression and misrepresentation, the author creates a 'frozen' concept that can be manipulated as a legal object. This allows for the introduction of high-precision modifiers (e.g., alleged, systemic) without cluttering the sentence structure.
◈ Syntactic Density: The 'Noun-Heavy' Chain
C2 proficiency is marked by the ability to handle dense noun clusters. Consider this segment:
"...a legal presumption that the logs would have demonstrated substantial content reproduction."
Breakdown of the cognitive load:
- Legal presumption (The conceptual framework)
- Substantial content reproduction (The technical phenomenon)
In a B2 context, this would be: "The court should assume the logs showed that a lot of content was copied." While correct, the B2 version is narrative; the C2 version is propositional. It treats the entire idea of 'copying content' as a single, stable entity (content reproduction).
◈ Lexical Nuance: The 'Hedging' Spectrum
Note the strategic use of verbs that distance the author from the claims, a critical skill for C2 academic writing:
- Asserting Contending Characterizing
While a B2 student might use "say" or "claim," the C2 writer chooses "contention" to signal a formal legal argument and "characterizing" to suggest a strategic framing of the truth. This is not just vocabulary; it is rhetorical positioning.