Can AI Put Humans Back in the Loop?
ZDNet
Tiernan Ray
Scientists at Germany's Technische Universitat Darmstadt have developed a process for having a human domain expert review an artificial intelligence model's inner mechanisms during training, in order to catch simple problems and correct errors. Such an expert would check the reasoning offered by a neural network, with the overall goal of building more trust in machine learning. The experimental explanatory interactive learning procedure involves a convolutional neural network classifying the phenotype of a plant as healthy or diseased by analyzing leaf images. The researchers visualize the features the network is using, then a plant biology specialist fixes any network errors. ...
No comments:
Post a Comment