The claim that artificial intelligence has a “black box” problem is not entirely accurate. Rather, the problem lies primarily with deep learning, a specific and powerful form of AI that is ...

Explainable AI: A guide for making black box machine learning models explainable In the future, AI will explain itself, and interpretability could boost machine intelligence research.

By using explainable AI, the study identifies not only which skills define each cluster but also the relative importance of these skills in classification decisions. This level of interpretability ...

Explainable AI, meaning interpretable machine learning, is at the peak of inflated expectations. Ontologies, a part of symbolic AI which is explainable, is in the trough of disillusionment ...

The growing trend of AI means that it’s business-critical to understand how AI-enabled systems arrive at specific outputs.

As artificial intelligence becomes an increasing part of our daily lives, from the image and facial recognition systems popping up in all manner of applications to machine learning-powered ...

Google LLC has introduced a new “Explainable AI” service to its cloud platform aimed at making the process by which machine learning models come to their decisions more transparent. The idea ...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...