Shekar Vollem, a Senior Software Engineer, researcher, inventor, peer reviewer, and technology leader whose work spans ...

Building and scaling AI with trust and transparency is crucial for any organization. For explainable AI (XAI) to be effective, it must enable transparency, explain the predictions and algorithm and ...

This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...

SALT LAKE CITY, UTAH – Researchers at the University of Utah's Department of Psychiatry and Huntsman Mental Health Institute today published a paper introducing RiskPath, an open source software ...

A novel tool has emerged from the depths of AI research, seeking to demystify the inner workings of artificial intelligence systems. Shedding Light on the "Black Box" of AI Developed by experts at ...

Artificial intelligence increasingly helps providers make their grids more robust, improve forecasts of electricity prices ...

Artificial intelligence systems are becoming increasingly powerful—but also harder to understand. A new study introduces ...

American insurers are being urged not to drag their feet on ensuring their use of AI is “explainable,” as regulators and consumers alike begin to demand it. “It’s not like this is a future issue. The ...

The proliferation of Internet of Medical Things (IoMT) devices has created cybersecurity challenges that requiring advanced threat detection techniques along with preserving patient privacy. This ...