Vendor Terms

Vendor terms are the contractual provisions an AI provider sets for how its models, APIs, and products may be used, including restrictions on use cases, data handling, liability caps, and whether customer inputs can train future models. For enterprise buyers, these terms often matter as much as the technology itself, because they determine who bears responsibility when outputs cause harm and whether sensitive company or customer data stays confidential. Changes to terms of service, acceptable use policies, or data processing addendums can quietly shift a company's compliance position, so legal and risk teams need to review them whenever a vendor updates its agreements.

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Corporate PolicyUS2026-10-16

Meta's October 30 Terms Shift Training Data Liability to Publishers

Meta updated its commercial terms, effective October 30, 2026, to authorize automated crawling of websites linked to business accounts and the use of that content for AI training. Legal experts warn the terms may allow Meta to argue they override robots.txt blocking instructions and existing content licensing agreements. Enterprise compliance teams managing AI training data provenance and publisher licensing programs face direct exposure.

Meta AI training data web scraping data governance publisher licensing training data provenance vendor terms