Meta's AI scraping terms face legal scrutiny despite revisions
Meta revised its business terms to remove explicit language allowing AI training on news sites, but legal experts argue the changes remain insufficient. The new terms, effective October 30, still permit using content 'associated with products' to develop AI, potentially overriding standard blocking mechanisms like robots.txt. This ongoing dispute highlights the tension between tech giants' data needs and publishers' control over their digital assets.
Key points
- Meta, the parent company of Facebook and Instagram, updated its business account terms to remove specific language stating it would 'train' AI models on content from associated news websites.
- The revised terms, effective October 30, still allow Meta to use content 'associated with your products or services' to 'develop' and 'research' its products, a phrasing legal experts say remains broad.
- James Grimmelmann, a digital law professor at Cornell Law School, noted that the remaining language could allow Meta to argue its commercial terms supersede traditional blocking instructions like robots.txt.
- Publishers initially feared the original terms would let Meta scrape entire sites freely, prompting backlash that led to the removal of the word 'train' from the final version.
- Legal experts caution that the current wording still permits Meta to use scraped content for AI development, leaving ambiguity about whether publishers can effectively opt out of data usage.
Meta has adjusted its business terms to address concerns from the publishing industry, removing explicit language that suggested the company could freely train its artificial intelligence models on content from news websites. The revised terms, which take effect on October 30, no longer state that Meta may use any content from associated websites to "train" its products. However, legal experts argue that the changes do not fully resolve the underlying issues regarding data access and control.
James Grimmelmann, a professor of digital and information law at Cornell Law School, explained that the revised terms still contain broad language allowing Meta to use content "associated with your products or services" to develop and research its offerings. This phrasing, he noted, could enable Meta to argue that its commercial terms supersede other blocking instructions, such as the robots.txt file, which has historically guided search engines and scrapers on what they are permitted to crawl. The initial version of the terms had sparked fierce backlash from publishers who feared their content would be used without explicit consent.
While the removal of the word "train" was a concession to the publishing industry, the core mechanism for data usage remains ambiguous. The dispute highlights the growing friction between technology companies seeking large datasets for AI development and media companies trying to protect their intellectual property. As Meta continues to expand its AI capabilities, the legal boundaries of scraping and data usage will likely remain a point of contention in the tech industry.
Sources
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