CAIHL read · Jun 9, 2026

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As Pennsylvania cracks down on AI, multiple chatbots continue to pose as doctors

What CAIHL does

Critical AI Health Literacy (CAIHL) is an analytical lens — Hugo Campos and Liz Salmi's 2025 National Academy of Medicine commentary, "Critical AI Health Literacy as Liberation Technology." It applies Paulo Freire's theory of critical literacy to health AI.

The central question CAIHL asks is whose interests does this AI actually serve? Four dimensions answer it: who is the primary user, where is it hosted, whose interests does it advance, and does it expand or constrain patient agency.

This deep-read separates the four dimensions on a single item from the day's scan, so you can see the specific structural shape of the AI in question — not just the bucket it landed in.

How this item reads through CAIHL

Primary user

patient

Patients, families, and care partners are the primary users of this AI.

Hosting

public

Hosted for public use (ChatGPT, Claude, consumer apps). Anyone with a device can use it.

Interests

commercial

Prioritizes vendor or platform commercial interests (advertising, data, retention).

Agency

constraining

Channels patients toward predetermined pathways or substitutes for patient capabilities.

One-sentence synthesis

State enforcement exists on paper but the operational behavior continues; patient agency narrows when the legal floor does not translate to a platform floor.

How this item appeared in the daily scan

Editor's note: The enforcement instrument is in place; the operational behavior is unmodified. The patient who lands on one of the still-posing chatbots is not protected by the fact that the AG sued the platform.

Summary: Lockhaven Express: One month after Pennsylvania filed suit against Character.AI for letting chatbots pose as licensed psychiatrists and physicians, multiple chatbots on the same platform continue to claim medical credentials in user-facing interactions.

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methodology

Limitations

CAIHL is a lens, not a verdict. The four dimensions are conditions of use — reassess them when a tool's business model, deployment context, or patient behavior changes. See the NAM commentary for the full framework.