We study the role of AI transparency and explainability in shaping user trust, comprehension, and decision satisfaction. Our research evaluates how different forms of explanations—such as procedural ...

In late October 2020, venture capital firm Wing conducted a survey, “Chief Data Scientist Survey,” of 320 of the senior-most data scientists at both global corporations and venture-backed startups, in ...

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 ...

You’ve heard the maxim, “Trust, but verify.” That’s a contradiction—if you need to verify something, you don’t truly trust it. And if you can verify it, you probably don’t need trust at all! While ...