AI has been moving steadily closer to personal data. This week, that move became more concrete: OpenAI announced Health in ChatGPT, a U.S. rollout that lets people choose to connect Apple Health and supported medical records to their conversations.
The interesting part is not that an assistant can discuss health. People already ask AI health questions. The important change is that a system can now work with more of the context behind those questions: prior records, activity, medications and results, when a person chooses to connect them.
Context is useful. It is also sensitive.
More context can make an answer more useful. It can help somebody prepare questions for an appointment, notice a change over time or understand a medical note in plainer language. But health data is not just another personalisation signal. The consequences of getting privacy, permissions or accuracy wrong are much higher.
OpenAI says connected health information is not used to train foundation models or target ads, and that users control when it can be used. It also says the product is not a replacement for professional care. Those boundaries matter—but they are only meaningful when people can understand and exercise them in the product.
The new standard is understandable control
- Permission should be specific: people need to know what is being connected and when it will be used.
- Data should be easy to withdraw: disconnecting should be as clear as connecting.
- Limits should be visible: an AI explanation is not a diagnosis or a clinical decision.
- Important claims should remain checkable: users need a route back to the original record and to professional advice.
This is a useful test case for AI more broadly. The closer an assistant gets to consequential personal context, the less acceptable vague privacy language becomes. Trust will depend on granular permissions, clear defaults and a real ability to change one’s mind.
Source: OpenAI’s Health in ChatGPT announcement, published 23 July 2026.