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AI wrestles with a replication crisis as scientists address transparency issues
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Artificial intelligence

AI wrestles with a replication crisis as scientists address transparency issues

An AI cancer detection microscope by Google is seen during the World Artificial Intelligence Conference 2018

Synopsis

A growing number of scientists are pushing back against a perceived lack of transparency in AI research, citing instances where such work doesn’t provide access to code, data, and hardware. This hinders replication, and further development. Such research, they add, is more like an advertisement for smart technology than addition to scientific knowledge.

By Emily LuongLast month Nature published a damning response written by 31 scientists to a study from Google Health that had appeared in the journal earlier this year. Google was describing successful trials of an AI that looked for signs of breast cancer in medical images. But according to its critics, the Google team provided so little information about its code and how it was tested that the study amounted to nothing more than a promotion of
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