The questions people actually ask about genetics
Analysis of anonymised conversation patterns shows the gap between what organisations publish and what people want to know.
Insights
What we're learning from real conversations.
Every conversation generates insight. These are the patterns that shape how Dimmibiro works: what people ask, how an AI should handle uncertainty, and what access really requires.
Platform insight Responsible AI Knowing when not to answer
Why an AI that says 'this needs a professional' is more useful in genetics than one that always has a response.
Access What changes when genetic guidance speaks your language
Terminology, family history and sensitive decisions are hard enough in a first language. Access shifts when they aren't in a second.
Platform insight Human-in-the-loop, in practice
What expert review actually looks like day to day, and how flagged conversations become improved knowledge.
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