65th ISI World Statistics Congress 2025 | The Hague

65th ISI World Statistics Congress 2025 | The Hague

Future of AI in Official Statistics

Organiser

JM
Jean-Marc Museux

Participants

  • SL
    Sophie Limpach
    (Chair)

  • VT
    Dr Vera Toepoel
    (Presenter/Speaker)
  • How to cope with innovation and the pace of change: The case of large language models (LLM) at Statistics Netherlands (CBS).

  • JE
    Jacob Engdahl
    (Presenter/Speaker)
  • Beyond advice: Moving large language models from advisors to action

  • SK
    Dr Sallie Ann Keller
    (Presenter/Speaker)
  • Preparing open data for the age of AI

  • JM
    Mr Jean-Marc Museux
    (Presenter/Speaker)
  • Opportunities and challenges of Artificial Intelligence in the context of European Statistics

  • BO
    Bredan ODowd
    (Presenter/Speaker)
  • The AI/ML one-stop-shop: Building and sustaining AI commons for the European Statistical System

  • OL
    Mrs Orietta Luzi
    (Panellist)

  • FK
    Mrs Francesca Kay
    (Panellist)

  • Category: International Statistical Institute

    Proposal Description

    This session critically examines the impact of AI/ML, with a focus on generative AI, on the production and dissemination of official statistics. As generative AI reshapes the data landscape, it will assess its potential and challenges in enhancing the statistical processes within the evolving data ecosystem. The session will explore, among others, the way National Statistical Offices (NSOs) can adapt their quality management, maintain user trust, and revisit their value proposition in this new context. Participants will discuss preparedness, skills, and collaboration among NSIs and other data ecosystem stakeholders. Insights from key NSOs will inform strategic discussions. This interactive session will feature short presentations followed by a participant discussion, seeking to fortify the strategic response for integration of latest development of AI into official statistics. This session is closely linked to the European Statistical System flagship initiative: the One-Stop-Shop on AI/ML.