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Firms in healthcare are developing AI tools using data that is mostly sourced from exlusive partnership hospitals, and the results above demonstrate there is a strong potential for biases and fairness issues. Are there any standarts to regulate it
@EricTopol?Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
At ML4Health
@NeurIPSConf,@VectorInst showed that SOTA Cest X-ray classifiers are biased to sex, age, race and insurance type. Would this hold in pathology too@jnkath@nmrajpoot@ThomasFuchsAI?pic.twitter.com/Me5ExWd8Vd
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They show that firms are incentivized to invest less in minority groups, as these are not profitable. And the competition does not mitigate this incentive towards inequality, and that REGULATION CAN IMPROVE OUTCOMES at the cost of error rates or profits
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They assume that data sources are group-specific and infinite, and market segments have no distributional similarity and must train models separetely on each group. Each firm has a profit maximisation problem, potentially subject to regulatory constraints.
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The setup is that AI market consists of firms developing models and concumers. Consumers are divided into non-overlaping groups i.e. market segments, they choose firm based on the model performance. Firms profit=market share - costs on data collection.pic.twitter.com/gk7Gz8WThK
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Catching up with
@hselzayn, who presented a fascinating work at AIforGood@NeurIPSConf on data markets, economics and pac-learning, its implications on AI ethics and regulation! Check out his paper http://bit.ly/3b3AV14 and read below for more details!pic.twitter.com/pRtJWJvMoB
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Jevgenij Gamper proslijedio/la je Tweet
I swear it's not just men working
@CervestEarth, but who doesn't love a boyband? They're fairly feminist too
We also have #womenintech and#WomenInSTEMhttps://twitter.com/CervestEarth/status/1222820322434584581 …
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A boy band

from @CervestEarth, working at the edge of Earth Science AI! And generally, a nice bunch of people!https://twitter.com/CervestEarth/status/1222820322434584581 …
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This “correlates” with the results in http://arxiv.org/abs/1910.09444 presented at
@NeurIPSConf workshop “that tech. experts are more optimistic than healthcare domain experts regarding current potential for automatability of healthcare work”.pic.twitter.com/WQN5fvu10U
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However, as
@jnkath rightly points out - these decision trees are also opportunities for amazing research and clinically relevant applications! – mjesto: Royal College Of PathologistsPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Excellent remark by
@jnkath. Decision making in clinical practice is an intricate tree (lung cancer tree in photo)! Frequently, AI publications oversimplify these work flows - smth that@zacharylipton pointed out during ml retrospectives at@NeurIPSConfpic.twitter.com/nA8st1xYk7
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Jevgenij Gamper proslijedio/la je Tweet
In our data-driven world, the claim that we don’t have a good way to study something quantitatively may sound shocking. The reality even worse — in many cases we don’t even have the vocabulary to ask meaningful quantitative *questions* about complex socio-technical systems.
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Jevgenij Gamper proslijedio/la je Tweet
I'd argue the reverse too. You can outperform in pretty much any scientific field by bringing with you an artistic mindset.https://twitter.com/fchollet/status/1209034035265228800 …
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Jevgenij Gamper proslijedio/la je Tweet
Not even catastrophes like these seem to bring any political action. How is this possible? Because we still fail to make the connection between the climate crisis and increased extreme weather events and nature disasters like the
#AustraliaFires That's what has to change. Now.https://twitter.com/9NewsSyd/status/1208283137228165120 …
3:32Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jevgenij Gamper proslijedio/la je Tweet
WOMEN
WHO
DON'T
WANT
KIDS
• aren't selfish
• are not less of a woman
• aren't immature
• won’t necessarily change her mind
• won’t necessary be a "lonely old cat lady" which is a disgusting patriarchal stereotype
• don’t owe you any explanation whatsoeverPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jevgenij Gamper proslijedio/la je Tweet
So spot on! 'AI Ethics for Systemic Issues' by
@AgnesSchim of@CervestEarth! We all really need to be considering and talking about the more complex issues around#AIEthics in a broader sense. https://aiforsocialgood.github.io/neurips2019/accepted/track3/pdfs/48_aisg_neurips2019.pdf …#NeurIPS2019pic.twitter.com/ALrMp83CA0
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Come hear
@AgnesSchim speak on structural approach to AI ethics and the systemic impacts of AI at 11.55(East building 11) at@NeurIPSConf#neurips19 and check out her cool poster!pic.twitter.com/k8y8vmzSXU
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Is that a Rolling Stones concert? No, that's a keynote at
#NeurIPS2019pic.twitter.com/nJjONGzJww
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Jevgenij Gamper proslijedio/la je Tweet
More takeaways from this amazing work on algorithmic injustices by
@Abebab 1) Centre society's most vulnerable rather than the technology. 2) Automated decision-making systems create and sustain a certain social order. 3) Prioritise understanding rather than predictions.https://twitter.com/math_rachel/status/1204104481144819713 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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