US, UK And Canada Collaborate On Transparency Principles For Devices Using Machine Learning

The principles urge device makers to look at the whos, whys and whats of device use in developing their data transparency approaches.

Round buttons showing the flags of the US, UK and Canada against a blue background.
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Developers of medical devices that use machine learning should be mindful of the four W’s and one H – who, what, why, when and how – when developing data transparency policies.

That’s the main takeaway of a new set of guiding principles developed by regulators in the US, UK, and...

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