Two of the biggest questions associated with AI are “why does AI do what it does”? and “how does it do it?” Depending on the context in which the AI algorithm is used, those questions can be mere ...

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 ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

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 ...

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 ...

Trust is key to gaining acceptance of AI technologies from customers, employees, and other stakeholders. As AI becomes increasingly pervasive, the ability to decode and communicate how AI-based ...

Machine learning models are incredibly powerful tools. They extract deeply hidden patterns in large data sets that our limited human brains can’t parse. These complex algorithms, then, need to be ...

AI now touches high-stakes decisions, credit, hiring, and healthcare, yet many systems remain black boxes. Governance is lagging adoption: Recent enterprise research finds 93 percent of organizations ...

Goodfire AI, a public benefit corporation and research lab that’s trying to demystify the world of generative artificial intelligence, said today it has closed on $7 million in seed funding to help it ...