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Comment on AI model forecasts disease risk decades in advance: New AI model can estimate the long-term risk of over 1,000 diseases and forecast human health changes over a decade in advance

shneancy@lemmy.world ⁨9⁩ ⁨hours⁩ ago

“can” and not “could”? you haven’t had a chance to test it yet but already claim to have invented a machine that can predict the future a decade in advance? it better be the journalists that picked that word because if the scientists are saying that, then their funding would do better somewhere else

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unpossum@sh.itjust.works ⁨8⁩ ⁨hours⁩ ago

A systematic assessment on data from the UK Biobank not used for training showed that these calculated risks correspond well to the observed number of cases across age and sex groups.

This, for instance, is a test.

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- shneancy@lemmy.world ⁨1⁩ ⁨hour⁩ ago
  sure maybe it was tested with data already known to the researchers, but that’s not a real world test, that’s still a fully controlled environment. and the researchers, being human, aren’t perfect, the data about what the AI was meant to predict could’ve slipped into the training data. using historic data to predict slightly less historic data is a good first step, and it’s of course exciting! but we’re not done here
  
  nobody can read AI code after its been trained, so until all possibility of human error can be fully disspelled by continuous testing it in real time and having the AI actually predict events that come to be - it’s a could, not a can.
  
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