Possible to make it open access to reduce disparities?
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Tweet has photo of article as one workaround. Otherwise email me for author link around paywall!
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really cool review, congrats irene! if you ever have questions on the genomics side of things (reference #13), i'd be happy to chat. for instance i recently came across reference #13 cited alongside https://www.cell.com/ajhg/comments/S0002-9297(17)30107-6 …
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Yes absolutely! Hope you’re doing well
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from the comment here, paper seems to be talking about correcting disparities; unfortunately the paper is behind a paywall restricting access. Irony ...
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Unfortunately yes. We’ve tried to balance wow factor of platform and actual reach. I’ve attached a photo of the paper to the tweet as one workaround, but if you email me, I can also send you the private author share link that has the full non-paywall version
- Još 3 druga odgovora
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Fantastic article!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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When AI models identify biases, often means the signal exists in the input data. Determination of appropriate representativeness vs. true bias is important, yet articles calling out "AI is biased" gets more attention "wait, AI is discovering this and that's in our data."
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Congrats on the piece. would be curious on your thoughts. in order to reduce disparities, we have to do something (interventions). Can AI do causal inference and tell us what interventions we do? I was hoping to see how AI can in fact do causal inference
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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