66th ISI World Statistics Congress

66th ISI World Statistics Congress

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Responsible AI in Statistical Production: From Methods to Trusted Practice

Organiser

OL
Orietta Luzi

Participants

  • OL
    Mrs Orietta Luzi     (Chair)

  • RV
    Prof. Rosanna Verde     (Presenter/Speaker)
  • Complex Statistical Indicators Based on Symbolic Data Analysis: a straightforward and explainable approach to AI-supported Official Statistics

  • FK
    Mrs Francesca Kay     (Presenter/Speaker)
  • How can we embed Responsible AI in the National Statistics Office of the Future

  • MP
    Dr Marco Puts     (Presenter/Speaker)
  • Why Responsible AI Requires a Rigorous Methodology

  • B
    Dr Mauro Bruno     (Presenter/Speaker)
  • Building Trustworthy AI in Official Statistics: Methodological and Institutional Lessons from Istat

    • Conference

    66th ISI World Statistics Congress

    Proposal Description

    This session explores the integration of Artificial Intelligence in official statistical production, focusing on the principles and practices of Responsible AI. Contributions examine how to translate key concepts—such as transparency, reliability, fairness, and accountability—into concrete methodological choices across the AI lifecycle. Emphasis is placed on structured frameworks, including the Total Machine Learning Error, to ensure quality and robustness. The session also addresses institutional and organizational challenges for National Statistical Offices, alongside innovative approaches like Symbolic Data Analysis for constructing interpretable indicators. Practical experiences highlight solutions for validation, data governance, confidentiality, and trust-building in AI-driven statistics.

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