Google’s breast cancer-predicting AI research is useless without transparency, critics say

"In their rebuttal, the coauthors of the Nature commentary point out that Google’s breast cancer model research lacks details, including a description of model development as well as the data processing and training pipelines used. Google omitted the definition of several hyperparameters for the model’s architecture (the variables used by the model to make diagnostic predictions), and it also didn’t disclose the variables used to augment the dataset on which the model was trained..." Lire la suite