AI for Civic Participation Service

Q1: What participation operations are supported (end-to-end) rather than “chatbot support”? Supported operations include: participant information hubs, multilingual enquiry handling, briefing pack preparation, controlled drafting of communications for review, structured clustering of contributions, and report-ready outputs with provenance and version history. Q2: What legitimacy safeguards are implemented as operating constraints? Safeguards include: approved source boundaries for any factual claims, mandatory human sign-off for sensitive communications and conclusions, logged decision ownership for outputs, and documented limitations for automated components used in the process. Q3: How is “structured synthesis” executed without producing untraceable summaries? Structured synthesis is executed by clustering inputs into explicit themes, maintaining links from themes back to source statements, recording facilitator decisions on inclusion/exclusion, and producing outputs that distinguish raw contributions, interpreted themes, and final conclusions. Q4: What information is captured to make reporting defensible for public authorities and funders? Reporting defensibility is supported by: provenance records for inputs, version history for drafts, audit logs for approvals, and traceability from reported findings back to contribution sets, facilitation decisions, and documented process steps. Q5: Which participation formats are best suited to this operating model? Best-fit formats include citizens’ assemblies, consultations, participatory budgeting, stakeholder dialogues, and large engagement programmes where transparency, accountability, and repeatable reporting are explicit requirements.