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, ...

In today’s era of artificial intelligence, it is increasingly tempting to pursue models that deliver the highest possible statistical performance—often at the cost of transparency. Many of today’s ...

Enterprise adoption of artificial intelligence has accelerated rapidly, but scaling it beyond pilot projects remains a persistent challenge. A major reason is trust. While employees are increasingly ...

Voice-activated, conversational artificial intelligence (AI) agents must provide clear explanations for their suggestions, or ...