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 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 ...

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 ...

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 ...

Customers of artificial intelligence (AI) models may have certain rights under the Consumer Protection Act, Ajay Kumar, Partner at Triumvir Law, mentioned at MediaNama’s AI and Fintech event on April ...

While less public than the Pentagon's Joint Artificial Intelligence Center, the intelligence community has been developing its own set of principles for the ethical use of artificial intelligence. The ...