David Spiegelhalter

Statistician David Spiegelhalter is no stranger to AI – he used it to help him research his recent book and, back in the late 70s, he helped develop foundational algorithms for the tech. So, he understands the pandora’s box that technology can represent, as well as the uncertainty embedded in its future development. Spiegelhalter sits down with Oz to unpack how we should interpret AI predictions, why better data matters and why we should consciously embrace uncertainty in our own lives. See omnystudio.com/listener for privacy information.

David Spiegelhalter

Chair of Winton Center for Risk and Evidence Communication

Cambridge UniversityUniversity of Cambridge

Today we’re joined by David Spiegelhalter, Chair of Winton Center for Risk and Evidence Communication at Cambridge University and President of the Royal Statistical Society. David, an invited speaker at NeurIPS, presented on “Making Algorithms Trustworthy: What Can Statistical Science Contribute to Transparency, Explanation and Validation?”. In our conversation, we explore the nuanced difference between being trusted and being trustworthy, and its implications for those building AI systems.

David Spiegelhalter

Chair of Winton Center for Risk and Evidence Communication

Cambridge UniversityUniversity of Cambridge