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 ...

This talk will attempt to demystify, for a non-technical audience, the current state of neural network explainability and interpretability, as well as trace the boundaries of what is in principle ...

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 ...

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 ...

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 ...

Forbes contributors publish independent expert analyses and insights. People distrust artificial intelligence and in some ways this makes sense. With the desire to create the best performing AI models ...

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