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, ...

Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including ...

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 ...

A new review paper published in AI & Society finds that research on how people form mental models of AI - the internal ...

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 ...

A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a ...

Every technology leader I speak with is under the same pressure. Board members want AI. Regulators want transparency. Customers and the business want speed. Somewhere in the middle, the technology ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine learning in regulated finance, governance alignment, fairness, compliance, ...