arXiv (All)
open access
KITA AI: A Multi-Agent LLM System for Pluralistic Policy Deliberation
Public policies addressing urgent social and environmental challenges need to explicitly consider the diverse, often conflicting perspectives of the affected stakeholders. Despite computational decision-support approaches increasingly offering recommendations across diverse human value systems, they
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Defining Nature for Policy and Practice#397102
- LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios#1156205
- Value-Preserving Architectures for Agentic AI Systems#926786
- Opportunities and Challenges of Policy Informatics#679303
- Can AI automatically analyze public opinion? A LLM agents-based agentic pipeline for timely public opinion analysis#1122923
Record · ID 1129502
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive