Description
Governments are moving from discussing artificial intelligence to deploying it. Agencies are testing tools, modernising systems, exploring new analytical approaches and looking for ways to deliver better services with limited resources. But deploying AI in the public sector also raises difficult questions.
In Episode 3 of Statistics in the AI Era, OECD Chief Statistician Steve MacFeely speaks with Eleonore Fournier-Tombs, New York State's Chief AI Officer, about what responsible AI looks like in practice.
They discuss the emerging role of Chief AI Officers, AI use cases in public service delivery, code modernisation and geospatial analysis and the data governance foundations needed for AI. While preparing data for AI is a practical challenge for every public institution, risk assessments, acceptable-use policies and human oversight can make responsible AI operational.
The conversation also explores workforce impacts, the importance of upskilling and consultation, and the need for a governance model that gives agencies room to experiment while ensuring the highest-risk use cases receive extra scrutiny.
Host: Steve MacFeely
Guest: Eleonore Fournier-Tombs
