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Mark Sendak proslijedio/la je Tweet
Performance artist generates virtual traffic jams in Google Maps by pulling a wagon full of smartphones http://www.simonweckert.com/googlemapshacks.html …pic.twitter.com/m3bmQXvswI
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Mark Sendak proslijedio/la je Tweet
Without any doubt, this was the most inclusive conference I have ever attended! Congrats to
@fatconference,@mireillemoret,@ChaToX and all the others for this!#FAT2020pic.twitter.com/gNewcUdNiV
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Super excited to see what
@m_c_elish and@wsisaac come up with for#FAccT 2021 in Toronto!https://twitter.com/david_madras/status/1222917582518394885 …
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Mark Sendak proslijedio/la je Tweet
Glad I don't have to keep this a secret anymore -
@fatconference is in Toronto next year! Excited to welcome everyone up to Canada in January



#FAT2020#FAccT2021pic.twitter.com/Zg5ymuzkVH
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Mark Sendak proslijedio/la je Tweet
Absolutely. But a predictor in a model doesn't have to be on the causal pathway. And causal inferences from a prediction model should be avoided.
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Mark Sendak proslijedio/la je Tweet
Indeed. Causal language/inference and any mention of confounding should be avoided in prediction model studies. Focus is on the ability to predict something from something else. Nothing more nothing less.
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Wow, amazing keynote today. Worth watching!https://twitter.com/df_fund/status/1222810832314228737 …
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Mark Sendak proslijedio/la je Tweet
Thank you! It’s so important to us (and really basic logic, as it lets us attract and retain amazing parents in our conversations that are not properly accommodated elsewhere)
#FAT2020https://twitter.com/Maryammjd/status/1222503918179180544 …
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Mark Sendak proslijedio/la je Tweet
A photo is a mathematical representation of your face.https://twitter.com/Apple/status/1215289219972849664 …
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Mark Sendak proslijedio/la je Tweet
What fascinates me most about this
#FAT2020 paper is the mention of the “emotional labor” that had to be done by (presumably mostly female) nurses mediating between this diagnostic ML system and the egos of (presumably mostly male) doctors. https://twitter.com/m_c_elish/status/1204495123087683584 …pic.twitter.com/k3DLA3JfkD
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Mark Sendak proslijedio/la je Tweet
Do you think
#ML is a far-off dream in healthcare? Think again! This cool review highlights some of the already-implemented applications of#ML for EHR data. Some examples: -sepsis algorithms -ED triaging -PNA scoring -C. diff infection algorithm Check it out!#medtwitter#AIhttps://twitter.com/MarkSendak/status/1221993047610863617 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mark Sendak proslijedio/la je Tweet
Recommend reading this
by @MarkSendak et al. Outside the scope of this current work, but would be useful to see a detailed critical appraisal of these 21#MachineLearning products, and see the (relatively thin?) evidence-base which attracted $$$ to produce at scale.https://twitter.com/MarkSendak/status/1221993047610863617 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mark Sendak proslijedio/la je Tweet
Hi
#FAT2020! Here is the table + our paper link. TL;DR Achieving accountable and trustworthy AI means designing interventions as *socio*-technical systems with constant input from stakeholders and local expertise (not necessarily an explainable model). https://arxiv.org/abs/1911.08089 pic.twitter.com/sCQScPbpEG
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Amazing collaboration between
@DukeInnovate and@datasocietyhttps://twitter.com/anthroptimist/status/1222097933048385537 …
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Mark Sendak proslijedio/la je Tweet
So fun to see worlds collide: my old college friend
@MarkSendak and my tech+society friend@m_c_elish co-presenting at#FAT2020 about building trust and accountability into AI applications in medicine!https://twitter.com/gabrielazanfir/status/1222094334016749575 …
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Also features the great work out of
@DeepMind by@DrAConnell@weballergy@alan_karthiPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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It was fun to place our own work in the context of many others paving the way in this field (incl
@suchisaria@CjBayesian@mdraugelis@JFutoma) and it's exciting to see what's to come. Hope this helps share insights with folks who've been asking for real use casesPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
(5)Still a long way to go for any of these products to successfully scale and diffuse across settings. Many challenges remain.
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(4)There is a great deal of stealth science. Many of the products have 0 peer-reviewed published findings. This includes anything related to statistical, clinical, or economic utility. Unfortunately, it's common:https://onlinelibrary.wiley.com/doi/full/10.1111/eci.13072 …
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