What CAIHL contributes
Critical AI Health Literacy asks patients, advocates, and reviewers to read the system around the AI, not only the output. The first question is always: who does this AI serve?
Critical AI Health Literacy profiles
HugoScore turns CAIHL into a public review layer for health AI that shapes care access, clinical documentation, and patient agency.
Axis scale: 0 = institution-directed control; 100 = patient-directed choice and control. The number locates agency direction, not product quality.
Evidence-based public-interest review layer. HugoScore helps readers inspect health AI through agency, control, evidence, and unknowns.
Draft status: a draft profile exposes public-source research and CAIHL interpretation for scrutiny; a reviewed profile will show human review, reviewer/date, and change history.
Directory
Draft profiles show public-source research and CAIHL interpretation. Reviewed profiles will add reviewer/date and change-log detail as the workflow matures.
Framework
HugoScore operationalizes the CAIHL lens without replacing it.
Critical AI Health Literacy asks patients, advocates, and reviewers to read the system around the AI, not only the output. The first question is always: who does this AI serve?
HugoScore translates CAIHL into repeatable questions about control, interests, visibility, consent, reflection, action, agency, equity, privacy, safety, and evidence.
Intake
Suggest a tool, challenge a profile, or send evidence that should change a HugoScore review. Public submissions are triaged before they affect a profile.