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, ...

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 ...

AI decisions are only defensible when the reasoning behind them is visible, traceable, and auditable. “Explainable AI” delivers that visibility, turning black-box outputs into documented logic that ...

As Artificial Intelligence (AI) becomes an indispensable tool in enterprise financial operations, businesses are swiftly adopting automated solutions for processing invoices, detecting fraud, and ...

The importance of AI capabilities in society is more important than ever before. Finland’s goal is to utilize the potential of AI comprehensively, with focus on a human-centric approach. AI literacy ...

I see many students viewing artificial intelligence as humanlike simply because it can write essays, do complex math or answer questions. AI can mimic human behavior but lacks meaningful engagement ...