AI is rapidly entering health information spaces. The public question is reasonable: "Can I trust it?" The honest answer is: AI can help you understand, but it can also mislead -- sometimes in ways that feel authoritative.
Failure mode 1: Confident summaries that omit context
AI can produce misleading health information with an authoritative tone that makes users stop seeking care.
Failure mode 2: Performance changes across hospitals
A model may look strong in one environment and degrade in another. Context matters.
Failure mode 3: Bias and unsafe responses
AI mental health tools can produce stigmatizing outputs and potentially dangerous behavior in conversational scenarios.
Failure mode 4: Missing urgency
AI may answer "nicely" without recognizing emergencies.
Failure mode 5: Susceptibility to authoritative misinformation
Medical misinformation embedded in authoritative-looking documents can fool AI models more effectively than informal sources.
How to use AI safely
1. Use AI for understanding terms, not for diagnosing yourself
2. Ask it explicitly for red flags and urgency triggers
3. Demand sources -- if it cannot cite reliable sources, do not treat it as truth
4. Do not use AI for emergencies
5. Confirm decisions with a licensed clinician
AI can reduce friction in learning. It cannot replace clinical accountability. Treat it as a tool: useful for preparation, dangerous for decision-making without verification.