×
Zuckerberg claims creators overvalue their AI training contributions
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

AI training and copyright: Meta’s stance on content usage: Meta CEO Mark Zuckerberg addresses the complex copyright issues surrounding data scraping for AI model training, suggesting that individual creators may overestimate the value of their content in this context.

  • Zuckerberg believes that while some partnerships may be formed for particularly valuable content, Meta would generally opt not to use content if creators demanded payment or objected to its use.
  • This approach mirrors Meta’s strategy with news outlets, where the company has shown a willingness to walk away rather than pay for content it deems not valuable enough.

Legal landscape and ongoing litigation: The use of scraped data for AI training without permission is currently a contentious legal issue, with Meta and other major AI companies involved in lawsuits.

  • Meta faces a lawsuit from a group of authors, including Sarah Silverman, over alleged unlawful training of its Llama model on pirated copies of their work.
  • The company, like many in the AI industry, argues that unapproved scraping should be allowed under US fair use law.
  • Zuckerberg acknowledges that the concepts of fair use and content control need to be “relitigated and rediscussed in the AI era.”

Industry trends and partnerships: As the debate continues, some AI companies have begun forming paid partnerships with major content providers.

  • OpenAI has struck deals with several news publishers and companies like Shutterstock.
  • Meta recently signed an agreement with Universal Music Group that includes provisions for AI-generated songs.
  • Some artists have turned to unofficial tools to prevent their work from being used in AI training, though terms of service often allow companies to train on user-generated content.

Meta’s content strategy and valuation: Zuckerberg’s comments reveal Meta’s approach to content acquisition and usage, emphasizing the company’s focus on perceived value.

  • Meta’s strategy for AI content may mirror its response to proposed laws requiring fees for news story links, where the company has blocked news outlets in countries like Australia and Canada.
  • Zuckerberg states that Meta pays for content when it’s valuable to people but won’t do so when it’s not.
  • The CEO suggests that news content isn’t particularly valuable to Meta, partly due to moderation challenges and its potential negative impact on users.

Implications for creators and publishers: Zuckerberg’s statements indicate that most individual creators and publishers should not expect compensation for their content’s use in AI training.

  • The value of individual pieces of content in AI training datasets is perceived as relatively low by Meta.
  • Creators concerned about their work being used for AI training may face challenges, especially if they’ve posted content on social media platforms with permissive terms of service.
  • Meta’s stance suggests a potential shift in the relationship between content creators and tech platforms in the AI era.

Broader context and future outlook: The debate over AI training data and copyright highlights the evolving landscape of content creation and technology.

  • As generative AI products continue to develop, the value and use of various types of content in training these systems remain uncertain.
  • The outcome of ongoing litigation and potential new regulations could significantly impact how AI companies approach content acquisition and usage in the future.
  • Creators and publishers may need to reassess their strategies for content distribution and monetization in light of these developments in AI technology and corporate policies.
Mark Zuckerberg: creators ‘overestimate the value’ of their work for training AI

Recent News

The companies using AI to discover and design new drugs

Recent clinical trials and multibillion-dollar investments signal growing confidence in AI's ability to accelerate drug discovery and development.

MIT researchers develop breakthrough applying AI to mechanical design

AI system developed by MIT and IBM researchers rapidly designs complex mechanical linkages with unprecedented accuracy and speed.

Fitbit gets an AI upgrade, uses LLMs to better analyze your sleep patterns

Fitbit's new AI-powered Sleep Lab feature aims to provide personalized sleep insights by analyzing user-input journal entries alongside existing health metrics.