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New York Times v. OpenAI Lawsuit Explained

New York Times v.

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  1. Visão geral
  2. Mergulho profundo
  3. Impacto Estratégico
  4. The Future of New York Times v. OpenAI Lawsuit Explained
  5. Implementação no mundo real
  6. Riscos e guarda-corpos
  7. Roteiro de implementação
  8. Continue explorando
  9. Perguntas frequentes

Visão geral

OpenAI is a copyright lawsuit filed in December 2023 in which the Times accuses OpenAI and Microsoft of copying millions of its articles without permission to train ChatGPT and related models, and of producing outputs that compete with its journalism. The defendants argue that training is fair use. The case matters because its outcome could shape whether AI companies must license news content and how publishers are paid in an AI-driven information market.

Mergulho profundo

The New York Times sued OpenAI and Microsoft in federal court in Manhattan on December 27, 2023. Microsoft is a defendant because it invested heavily in OpenAI and provides the computing infrastructure, and it offers the models through products like Copilot. The Times makes several claims. It says copying its articles into training data is infringement. It says model outputs sometimes reproduce its articles nearly word for word. It says browsing and retrieval features summarize its reporting and substitute for its site. It also brings claims about removing copyright management information and about trademark harm when chatbots attribute invented statements to the Times. The complaint seeks damages and asks that models and datasets built with its work be destroyed. The regurgitation evidence got the most attention. The Times showed about a hundred examples of GPT-4 reproducing long stretches of articles. OpenAI responded that these came from unusual, repeated prompting designed to force copying, that regurgitation is a rare bug it works to fix, and that training on public text is fair use because it is transformative. In 2025, Judge Sidney Stein allowed the core infringement claims to proceed while narrowing others. The case was consolidated with other news and author suits against OpenAI in the Southern District of New York. Discovery became contentious. A magistrate judge ordered OpenAI to preserve ChatGPT output logs, including deleted conversations, and OpenAI objected publicly on privacy grounds. That obligation was later narrowed, and the parties fought over how many de-identified logs OpenAI must produce. A common misconception is that the case has decided whether AI training is legal. As of its latest stages it has not reached a final ruling on fair use.

Impacto Estratégico

Risco e segurança

Os danos catastróficos e diários da IA ​​dependem de quem entende os riscos e de quem pode agir.

Decisões mais claras

A literacia pública e profissional determina se uma política de segurança forte é politicamente possível.

Cortando o hype

Explicações claras reduzem a captura por exageros, relações públicas de laboratório e teatro de ética vaga.

The Future of New York Times v. OpenAI Lawsuit Explained

The case could run for years through summary judgment, possible trial and appeals, and a settlement is always possible. Rulings in other AI copyright cases on fair use and market harm will likely influence how Judge Stein analyzes the Times's claims. Meanwhile, licensing deals between AI companies and publishers continue to grow, which strengthens arguments that a market for training licenses exists. The case may also shape norms for retaining and handling user chat data during litigation. Publishers and AI developers alike should watch how the court treats retrieval features, which may matter more to news businesses than training.

Implementação no mundo real

The Times's complaint included exhibits in which GPT-4, given the opening of a Times article, continued with long passages nearly identical to the original.

A reader asks a chatbot with browsing to summarize a paywalled investigation, which is the kind of retrieval-based output the Times argues substitutes for visiting its site.

A ChatGPT user learns that a court preservation order required OpenAI to retain output logs, including chats users had deleted, because of discovery in this case.

A regional newspaper group weighs whether to sue or sign a licensing deal with an AI company, watching this case as the leading test of news publishers' claims.

Riscos e guarda-corpos

  • Tratar o risco existencial como ficção científica enquanto aumenta a capacidade.

  • Confundir segurança do produto de superfície com alinhamento sob alta autonomia.

  • Deixando o público não-inglês e não especializado com apenas fontes de baixa qualidade.

Roteiro de implementação

  1. Separe os riscos de danos ao produto, uso indevido e perda de controle/desalinhamento.

  2. Pergunte quais evidências mudariam sua visão sobre prazos e gravidade.

  3. Prefira fontes primárias e avaliações concretas em vez de afirmações de marketing.

  4. Identifique um caminho de ação: carreira, política, financiamento ou habilidades – não apenas conscientização.

Continue explorando

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Perguntas frequentes

What is New York Times v. OpenAI Lawsuit Explained?

New York Times v. OpenAI is a copyright lawsuit filed in December 2023 in which the Times accuses OpenAI and Microsoft of copying millions of its articles without permission to train ChatGPT and related models, and of producing outputs that compete with its journalism. The defendants argue that training is fair use. The case matters because its outcome could shape whether AI companies must license news content and how publishers are paid in an AI-driven information market.

When and where was the New York Times lawsuit against OpenAI filed?

The Times filed on December 27, 2023, in federal court in Manhattan, the Southern District of New York.

Why is Microsoft a defendant alongside OpenAI?

The complaint names Microsoft because of its investment, its infrastructure role and its products built on OpenAI models.

What is 'regurgitation' in this case?

The Times showed examples of GPT-4 continuing article openings with near-verbatim text, which links training to infringing output.

How did OpenAI characterize the regurgitation examples?

OpenAI argued the examples came from prompts designed to force copying and that regurgitation is a rare bug it works to fix.

What did a preservation order in this case require OpenAI to keep?

A magistrate judge ordered retention of output logs, including deleted chats, which OpenAI objected to on privacy grounds. The order was later narrowed.