DeepMind’s Latest A.I. Health Breakthrough Has Some Problems

DeepMind’s Latest A.I. Health Breakthrough Has Some Problems

The Google machine learning company trumpeted its success in predicting a deadly kidney condition, but its results raise questions around…

78 mentions: @juliapowles@mer__edith@LydNicholas@DavidEpstein@ellgood@EvanSelinger@SabineVdL@smithsam
Date: 2019/08/07 18:55

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@mer__edith The always sharp @juliapowles w/an excellent close read of DeepMind's latest health research. Behind the bold claims lurk major limitations, which deserve way more airtime. These include a reliance on data taken almost exclusively from male patients (94%!) t.co/636OqbUPPy
@LydNicholas "Beyond the headlines and the hope in the DeepMind papers, however, are three sober facts" @juliapowles 🔥 1: Nothing has been predicted- work is on historic data 2: Predictive pattern only works 55% of the time 3: Study population was 93.6% male t.co/HC0sXlKVYz
@juliapowles I’ve been following @DeepMindAI’s health work since it launched. And if it’s taught me anything, it’s to say what you see, especially when no one else wants to. Some cautionary notes on the firm’s biggest healthcare breakthrough to date t.co/VtXu2vzCws
@SabineVdL A new set of papers from the #Google #AI company DeepMind raises hopes about the ability of #machinelearning to predict disease, but raise questions about #data rights. t.co/icjYZhS2fC #ethics #AIethics t.co/TBgiJ5NbNp
@mandubian t.co/J97K9jusos Interesting (yet subjective) article on "whaoo effect" studies marketed by big AI companies with questionable objectivity and then on the ethics around the access to private data, specially in the domain of Health and the opacity on the true results...
@smithsam DeepMind’s Latest A.I. Health Breakthrough Has Some Problems – The Google machine learning company trumpeted its success in predicting a deadly kidney condition, but its results raise questions around data rights and patient diversity t.co/5pyhWYl5Xx
@ellgood “Whatever Google and DeepMind are planning to do in the US, they need to overhaul their attitude to the most basic priorities of rights, explanations, and costs to humans, not machines.” Great piece! #AI #healthcare #algocracy @juliapowles t.co/kcSi5iGMTu
@DavidEpstein this part isn't highlighted as much as other issues here, but it's important : "the system generates two false positives for every accurate prediction" t.co/11Mcqv8qtK
@EvanSelinger "Streams, then, seems typical of DeepMind’s way of working. It offers few overall gains in clinical outcomes, creates anxiety and additional workload for physicians, and was built on the back of deeply controversial access to patients’ data."-@juliapowles t.co/p2go1R7pie

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