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A risky clinical trial design, and attacks on machine learning

A risky clinical trial design, and attacks on machine learning

Update: 2021-08-12
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Charles Piller, an investigative journalist for Science, talks with host Sarah Crespi about a risky trial of vitamin D in asthmatic children that has caused a lot of concern among ethicists. They also discuss how the vitamin D trial connects with a possibly dangerous push to compare new treatments with placebos instead of standard-of-care treatments in clinical trials.


Next, Birhanu Eshete, professor of computer and information science at the University of Michigan, Dearborn, talks with producer Joel Goldberg about the risks of exposing machine learning algorithms online—risks such as the reverse engineering of training data to access proprietary information or even patient data.


This week’s episode was produced with help from Podigy.


About the Science Podcast


[Image: Filip Patock/Flickr; Music: Jeffrey Cook]


[Alt text: Bottle of Vitamin D pills]


Authors: Sarah Crespi; Joel Goldberg; Charles Piller


 


 


 

See omnystudio.com/listener for privacy information.

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A risky clinical trial design, and attacks on machine learning

A risky clinical trial design, and attacks on machine learning

Science Magazine