How to develop machine learning responsibly - JAXenter

Controversy arose not long ago when it became clear that Google had provided its TensorFlow APIs to the US Department of Defense's Project Maven. Google's assistance was needed to flag images from hours of drone footage for analyst review. There is clearly an ethical debate about the acceptability of appropriating ML for military uses. More broadly, there is also an important debate about the unintended consequences of ML that has not been weaponized but simply behaves unexpectedly, which results in damage or loss. Adding ML to a system inevitably introduces a black box and that generates risks.