AI explainability remains an important preoccupation - enough so to earn the shiny acronym of XAI. There are notable developments in AI explainability and interpretability to assess. How much progress ...

Forbes contributors publish independent expert analyses and insights. James Broughel is an economist focused on the economics of regulation. Just because aspects of artificial intelligence systems are ...

For the first time, researchers have used human brain lesion data to decode how large language models process language. The breakthrough arrives as the AI industry confronts mounting challenges around ...

The key to enterprise-wide AI adoption is trust. Without transparency and explainability, organizations will find it difficult to implement success-driven AI initiatives. Interpretability doesn’t just ...

To many AI practitioners and consumers, explainability is a precondition of AI use. A model that, without showing its work, tells a doctor what medicine to prescribe may be mistrusted. No experienced ...

Neel Somani, whose academic background spans mathematics, computer science, and business at the University of California, Berkeley, is focused on a growing disconnect at the center of today’s AI ...

Systems harnessing AI technologies’ potential to distill insights from large amounts of data to provide greater personalization and precision are becoming increasingly ubiquitous, with applications ...