Last November, Apple ran into trouble after customers pointed out on Twitter that its credit card service was discriminating against women. David Heinemeir Hansson, the creator of Ruby on Rails, ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Would you trust an artificial intelligence algorithm that works eerily well, making accurate decisions 99.9% of the time, but is a mysterious black box? Every system fails every now and then, and when ...

• Contemporary AI systems are neither explainable nor interpretable: Due to the nature of these systems, they rely on non-linear algebra where all inputs get mixed up inextricably, thereby making it ...

Machine learning and artificial intelligence are helping automate an ever-increasing array of tasks, with ever-increasing accuracy. They are supported by the growing volume of data used to feed them, ...

While machine learning and deep learning models often produce good classifications and predictions, they are almost never perfect. Models almost always have some percentage of false positive and false ...