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An Update to Our Column About California’s AI Law

A subsequent bill removed the 1 million user threshold, among other changes

The October issue of Radio World carried my article “California’s AI Warning to Broadcasters Everywhere.” It was also posted here.

Just as the print version of that article hit readers, the California legislature passed Senate Bill 1000, which recast several aspects of the California AI Transparency Act (CATA) that are relevant to broadcasters. The latter was signed by the governor on Sept. 30, 2026.

Principal among its changes was to redefine who is a CATA “covered provider.”

As CATA was originally passed in August 2026, a covered provider meant a person that creates, codes or otherwise produces a generative AI system that has over 1 million monthly visitors or users and is publicly accessible within the geographic boundaries of the state.

SB 1000 deleted the 1-million-user threshold.

CATA also replaced the term “AI detection tool” with “disclosure verification tool.” The tool must now be made available at no cost to assess whether there were image, video or audio alterations and whether there was “provenance” data* in the content revealing whether and how it was altered by the provider’s system.

And CATA now requires that a provider may not require disclosure of personal information beyond what is strictly necessary to provide access to the AI system or disclosure verification tool nor can the disclosure verification tool output personal information without the person’s consent following notice.

To reiterate the conclusion of the original piece: California’s most important message is not in the specifics or in the wording of one disclaimer. It is that broadcasters are entering an era in which they will be expected to know — or at least to ask — whether the voices and information they distribute are real.

* IBM defines data provenance to be primarily concerned with authenticity, providing details such as who created the data, the history of modifications and who made those changes. Webster defines it as information about where data originated and how it was collected or transformed.

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