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Panoramic for the Conference on Social Protection for French Citizens Abroad


Added by:   OECD analyst
Added on:   28 Oct 2026
Updated by:   OECD analyst
Updated on:   28 Oct 2026

This AI platform enabled all French citizens living outside France to become better informed about the complex issues related to Social Protection for French Citizens Abroad. This approach marks a major democratic innovation, making a technical subject accessible, ensuring an inclusive debate and laying the foundations for more informed and constructive citizen participation at the international level.

Name in original language

Panoramic au service des Assises de la protection sociale des Français de l'étranger

Initiative overview

Objectives: 

  • To democratise access to information on a complex subject (international social protection) by offering all citizens a simple, clear and reliable tool for understanding the issues at stake; 
  • to promote informed citizen participation by allowing everyone to ask questions freely and obtain contextualised answers from public and verified sources; 
  • and to strengthen the inclusiveness of public debate by involving French citizens living outside France—who are often distant from participatory processes—in an innovative, transparent and accessible approach.

Results, outcomes and impacts

Panoramic has logged 963 total queries: 560 open-ended questions (58.2%). Some users conducted extended exchanges (more than 20 questions), indicating deeper exploration needs. The platform supported targeted, mostly on-topic information seeking and provided source-grounded answers based exclusively on the CNDP-validated corpus. Reported impacts include access to reliable information for hundreds of citizens, an innovative way to equip large-scale public debates, and making the topic more accessible, widening participation and giving a voice to people who often feel excluded. Measurement relies on platform analytics (volumes, open versus click-based actions, session depth) and answer-versus-no-answer categorisation by theme.

Challenges and lessons learned

Key risks and challenges included (1) handling questions outside the validated scope; and (2) addressing legitimate but sensitive or interpretive questions (feelings of unfairness, complex personal situations) that a strictly document-based assistant cannot always resolve. The response was to answer only from the CNDP-validated corpus and to refuse to answer when content fell outside it, avoiding approximations and reinforcing trust. Lessons learned: users often arrive with concrete personal questions and may engage in long conversational exploration, so the tool must support both quick Q&A and deep dives; credibility depends as much on knowing when not to answer as on answering well; and “critical” prompts need dedicated handling distinct from information requests. Conditions for success: a high-quality knowledge base, clear scope boundaries, and continuous monitoring of question types to keep answers clear, contextualised and verifiable.

About the policy initiative


Category:

  • AI policy initiatives, programmes and projects

Initiative type:

  • AI use cases/projects in the public sector

Status:

  • Inactive – initiative complete

Start Year:

  • 2025

End Year:

  • 2025

OECD AI Principles:

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Other relevant urls:

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