the solution might be found in explainable artificial intelligence (XAI). XAI provides techniques, processes and systems that allow humans to trust and have confidence in machine learning algorithms.

Machine learning and artificial ... and it has always been explainable. Incidentally, that kind of AI, in the form of "Ontologies and Graphs" is also included in the same Gartner Hype Cycle ...

Explainable AI (XAI) emerges as a solution ... balancing the high accuracy of a deep learning model with the client's need for interpretability to meet internal governance and GDPR compliance ...

The terms explainability and interpretability are often used interchangeably. Explainable and interpretable ... The trade-off between accuracy and XAI must be weighed carefully.

Dr Bhusan Chettri who earned his PhD from Queen Mary University of London aims at providing an overview of Machine Learning and AI interpretability ... a.k.a Explainable AI (xAI) taking into ...

WiMi's XAI-based fNIRS neuroimage classification system consists of several key modules that work together to process, analyze, and interpret data for accurate brain activity classification and ...

This research leverages explainable ... machine learning models, which often leave users in the dark about why specific alerts are triggered. More information: Islam Elgarhy et al, XAI-Based ...