The Department of Justice (DOJ) has filed a statement of interest in the New York Times vs. OpenAI case, urging the court to reject the Times' argument that training AI models on copyrighted works is infringement. The DOJ warns that a ruling in favor of the Times could negatively impact both the AI industry and local journalism.
TL;DR
- The DOJ argues that training AI models is transformative use and not copyright infringement.
- A ruling in favor of the Times could hamper AI competition and disproportionately benefit large publishers.
- Local news outlets, already struggling, could be further disadvantaged by licensing fees and model destruction remedies.
What happened
The DOJ filed a statement of interest in the ongoing case between The New York Times and OpenAI, where the Times alleges that OpenAI's use of its articles to train AI models infringes on its copyrights. The DOJ argues that training AI models is a transformative use and distinct from what the models produce. The Times sued OpenAI in December 2023, seeking remedies including the destruction of models and training data. The DOJ warns that a ruling in favor of the Times could hamper competition among AI developers and subsidize large publishers, disproportionately benefiting legacy media outlets. The DOJ also highlights that local news outlets, many of which are struggling, could be further disadvantaged by licensing fees and the potential destruction of AI tools they rely on.
Why it matters
For AI developers, a ruling in favor of the Times could set a precedent that hampers competition and increases the cost of developing AI models. For startup founders, this could mean higher barriers to entry and increased legal risks. For tech investors, the case highlights the potential for increased regulatory scrutiny and the need to consider the broader implications of AI training practices. The case also underscores the tension between large publishers and local news outlets, with the DOJ arguing that a victory for the Times would not necessarily benefit smaller news organizations. For local news outlets, the case could have significant implications, as they may lose access to AI tools that help them compete with larger publishers. The DOJ's filing also highlights the potential for AI tools to level the playing field between mainstream and independent publishers, providing tools that lower the cost of reporting and help grow audiences.
Key facts
- The DOJ filed a statement of interest in the New York Times vs. OpenAI case, urging the court to reject the Times' copyright infringement claims.
- The Times sued OpenAI in December 2023, alleging that training on its articles without permission infringes on its copyrights.
- The DOJ argues that training AI models is a transformative use and distinct from what the models produce.
- There are 212 U.S. counties with no locally based news source and another 1,525 with only one.
- The Times counts nearly 13 million subscribers and competes directly with local outlets for news subscriptions.
- The DOJ warns that licensing fees would disproportionately benefit legacy media outlets and function as large subsidies for old mainstream media companies.
- A $10 million program run by The Lenfest Institute for Journalism is employing AI fellows to build tools for local newsrooms.
- Philanthropic initiatives have made grants to equip local journalists with AI-powered public records tools and build newsroom chatbots.
Context
The case between The New York Times and OpenAI highlights the broader tension between copyright holders and AI developers. As AI models become more advanced, they require vast amounts of data to train on, often scraping the internet for publicly available information. This practice has led to legal challenges from copyright holders, who argue that their work is being used without permission or compensation. The case also underscores the struggle of local news outlets, many of which are facing financial difficulties and a lack of resources. The DOJ's filing highlights the potential for AI tools to help level the playing field between mainstream and independent publishers, providing tools that lower the cost of reporting and help grow audiences. The case also raises questions about the role of copyright law in the age of AI and the potential for increased regulatory scrutiny of AI training practices.
