The artificial intelligence model showed great promise in predicting which patients treated in U.S. Veterans Affairs hospitals would experience a sudden decline in kidney function. But it also came with a crucial caveat: Women represented only about 6% of the patients whose data were used to train the algorithm, and it performed worse when tested on women.

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The tech giants have refused officials’ pleas to allow the collection of location data and to help contact-tracing teams learn where new infections have spread.

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The long-simmering debate over facial recognition technology is taking on new urgency during the pandemic, as companies rush to pitch face-scanning systems to track the movements of Covid-19 patients.

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Dozens of tracking apps for smartphones are being used or developed to help contain the coronavirus pandemic. But there are worries about privacy and hastily written software.

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Health officials have begged Americans to practice social distancing and many states and cities have issued stay-at-home or shelter-in-place orders to slow the spread of coronavirus. But not everyone is listening. Now, a tech company is using smartphone data to see where people are taking these instructions seriously.

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A group of doctors from Stanford University has proposed a framework for sharing clinical data for artificial intelligence (AI) that could set off a firestorm of debate about who truly owns medical data, ethical obligations to share it, and how to properly police researchers who use it. On the other hand, the envisioned approach has parallels to the open science tactics currently being uniformly deployed to battle the COVID-19 pandemic.

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With delays in testing hampering the country’s ability to accurately track the new coronavirus and shelter-in-place orders keeping many Americans at home, startups are swooping in with a seemingly ideal solution: at-home tests

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The European Commission  is considering a temporary ban on the use of facial recognition technology, according to a draft proposal for regulating artificial intelligence. Creating rules to ensure AI  is ‘trustworthy and human’ has been an early flagship policy promise of the new Commission. But the leaked proposal suggests the EU is in fact leaning towards tweaks of existing rules, rather than anything as firm as blanket sectoral requirements or bans.

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A special issue on CRISPR in Perspectives in Biology and Medicine adds to the rich corpus of ideas and arguments that will inform a technology bound to influence generations to come.

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In an interview with CBS This Morning, Clearview AI’s founder says it’s his right to collect photos for the facial recognition app.

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