Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

As artificial intelligence revolutionizes the business world, a more subtle but equally powerful force is emerging: intuitive decision-making. Executives increasingly recognize that combining rational ...