AI disclosure sounds simple until you ask what “AI use” actually means. Is brainstorming the same as drafting? Is editing the same as analysis? This post starts a series on why the goal should not be maximum disclosure, but meaningful disclosure that helps people understand what AI did, who reviewed it, and why it matters.
When AI starts explaining our health information, judgment matters more, not less. Drawing on patient experience and a recent Economist Impact report, this article explores why AI literacy is emerging as a prerequisite for equitable healthcare.
ChatGPT Health promises to help people understand their medical records and prepare for care. That could be a breakthrough. It could also magnify long-standing health literacy gaps and introduce new AI literacy risks if we are not careful. This piece looks past the hype to ask what this launch means for people who already struggle to make sense of health information, and what responsible design would actually require.
