Meta commercial terms scheduled to take effect on October 30 place responsibility for errors from AI features on enterprise customers, according to a review by CIO. The proposed language warns that AI results may be inaccurate, incomplete or unsuitable and says customers are solely responsible for the risks associated with those features and their output.
The allocation matters because the customer may not control the model that produced a result. Enterprise security and research advisers cited by CIO argued that the provision separates control from accountability: Meta supplies the system, while a business bears the consequences of relying on its response. Organizations using generated images, text or recommendations would therefore need their own review and approval controls rather than treating platform output as verified.
The updated terms also extend customer responsibility to work performed by partners or contractors. That could affect agencies, service providers and other third parties managing an organization's presence on Meta products. CIO reported that the content license covers material posted, uploaded or otherwise made available by a customer or someone acting on its behalf, and permits use of that content to provide, develop, improve, research and maintain Meta products.
Separate crawling language prompted concern because it described automated access to domains, pages, URLs and content associated with a customer's products or services. Meta public-affairs manager Emil Vazquez told CIO that the consolidated crawling provisions apply only to advertising and business products, do not give Meta new rights overriding robots.txt preferences and are not aimed at scraping news sites. He said the wording would be clarified; CIO noted that the proposed text had not yet reflected that clarification at the time of its report.
That distinction is important because the terms were still subject to change before their effective date. Businesses assessing the update must evaluate the final published language, rather than relying only on an earlier proposal or on an interpretation of broad phrases. The article also reported that explicit reference to training models had been removed, although advisers said the remaining language about developing and maintaining products could still encompass a wide range of AI work.
For enterprise technology leaders, the immediate issue is governance. Teams need to identify where Meta AI features enter business workflows, decide which outputs require human checking and determine whether contractors follow equivalent controls. Legal and procurement staff will also need to compare the final terms with existing data, indemnity and content policies.
The changes do not establish that every AI error will create liability in every jurisdiction. They do, however, signal Meta's contractual effort to assign operational risk to the customer, making careful review essential before the October 30 effective date.
