Attitudes, trust and expectations
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This branch covers how people perceive and expect to use AI in medical communication, divided by whose experience is at issue and by expectations for medical writing work. Practical use, disclosure, detection, legal obligations, and translation belong to their own branches.
- Medical writers' attitudes to AI and reported use — surveys of writers' use, knowledge and attitudes, writers' verdicts on ChatGPT, and their fears and expectations for the profession
- What AI promised medical writers before generative models — the earlier accounts of what AI would do for a writer, and the data-to-text generation sponsors piloted on reports and narratives
- Forecasts for the medical writer's job — whether AI will replace the writer, which routine work goes first, what happens to the junior writer's training, how the roles are redrawn and which skills the new work needs
- Clinicians' attitudes to AI and expected use — a survey of clinicians on awareness, use, expected benefits and risks, and the guardrails they ask for
- Patients using AI tools on their own health — patients’ use of chat assistants, needs along the patient journey, patient education, acceptance, and risks
- Public trust in AI-generated health information — what surveys of the public found on trust, accuracy and human involvement, and where each survey's figures stop
- Trust in AI output — who is being asked to trust AI-produced content, and the conditions on which a working system is trusted