AI & AuthenticityDeepfakes in the News: Notable Examples and What Newsrooms Learned
From a fabricated Biden robocall to a fake Pentagon explosion image that moved markets, we look at the most documented deepfake incidents in recent memory and the verification lessons they carry for newsrooms.
AI & AuthenticityIs Grammarly's AI Detector Accurate? What Editors Should Know
Grammarly's AI detection tool is widely used, but how reliable is it for editorial decisions? We look at the technology, its known limitations, and what the research says about accuracy.
AI & AuthenticityBest AI Voice-Cloning Tools in 2026, and What They Mean for Trust
ElevenLabs, Descript, Resemble AI, and Play.ht have made voice cloning faster and cheaper than ever. We look at what these tools can do, and why every newsroom should be thinking carefully about the risks they introduce.
AI & AuthenticityEU AI Act Risk Levels, Explained
The EU AI Act sorts every AI system into one of four risk tiers, each carrying different obligations. Here is what those categories mean for publishers and newsrooms.
AI & AuthenticityAI Music and Copyright: Who Owns an AI-Generated Song?
As AI music tools flood the market, a fundamental legal question remains unresolved: who holds the copyright to a song a machine composed? We break down the current state of the law and what it means for newsrooms covering the creative industries.
AI & AuthenticityProvenance in Practice: A Day Inside a Content Credentials Workflow
What does a Content Credentials workflow actually look like inside a newsroom? We walk through a generalised, illustrative example to show how the C2PA standard operates from capture to publication.