CAIHL read · Jun 4, 2026
AI's 'Big Tobacco' danger
Framework
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.
The four dimensions
How this item reads through CAIHL
Primary user
na
No direct AI user — this is a policy item, a regulator action, or commentary.
Hosting
na
No specific AI host applies (the item is about policy, commentary, or framework, not a deployed tool).
Interests
mixed
Multiple stakeholder interests in tension; the alignment is not stable.
Agency
expanding
Expands patient capabilities, supports their questions, increases their ability to act on their own values across and beyond health systems.
Editor's CAIHL read
One-sentence synthesis
Tobacco-litigation playbook is the most promising agency-expanding regulatory move for patients.
In the scan
How this item appeared in the daily scan
Editor's note: The tobacco analogy is not rhetoric. The litigation shape (state AGs, product liability, public-nuisance theory) is the playbook that produced the 1998 Master Settlement Agreement.
Summary: Politico: Frames the wave of state AG actions against OpenAI and Character.AI as the early phase of a tobacco-style product-liability campaign; cites research showing AI firms borrow tobacco and pharma corporate-capture playbooks.
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.