AI Webinar Series: Implementing the AI-Readiness Self Assessment in Latin America and the Caribbean

PARIS21's AI-Readiness Self-Assessment Toolkit offers a self-assessment methodology for national statistical offices (NSOs) to evaluate preparedness across five key domains and establish an evidence-informed baseline. This process helps NSOs identify priorities and build the foundations needed for responsible and effective AI adoption.

This webinar is specifically tailored to Latin American and Caribbean NSOs and will provide a practical and detailed introduction to the SPEED framework and accompanying AI-readiness self-assessment resources.

This webinar is open to external participants with interpretation in Spanish and English

Opening Remarks
Maria Luiza Guerra de Toledo, UN Big Data Hub Brazil (5 minutes)

About the methodology
François Fonteneau, PARIS21 and TTAI Co-Chair
Mercedes Fogarassy, PARIS21

Presentations
Experiences conducting the self-assessment in the Dominican Republic
Leidy Daríhana Zabala De los Santos and Paola Esmeralda Rodríguez Adames, ONE

Aivin Vicquierra Solatorio, Program Manager, World Bank
Presenting the WB AI-readiness of data framework

Klaus Lehmann, Head of Data Science at the National Institute of Statistics Chile
Using the assessment to implement AI-ready data formats in LAC

Jose Antonio Mejia-Guerra, Sector Principal Specialist, Inter-American Development Bank
Remarks on AI-readiness at a regional level

Q&A Session

Closing Remarks
UN Big Data Hub Brazil