Policy Research
Evidence investigation, issue structuring, and alternative development.
Open source AI policy R&D
NEXTAIN ↗ × Korean Association for Policy Studies ↗ A project co-created by NEXTAIN—the company behind the AI agent Naia—and the Korean Association for Policy Studies
First Use Case Pension Reform Project →Researching, building, and sharing AI-driven policy development.
AIPOL is an open-source project developing methods and tools for AI utilization in policy processes, from problem definition and evidence research to alternative development, opinion gathering, and review.
Collaborative Research Foundation for Policy Development
Researchers, policy practitioners, civil society, and developers create, verify, and accumulate methodologies, tools, and cases as open knowledge.
FIRST APPLICATION · In Progress
Pension Reform Project
AIPOL started by preparing pension reform policy experiments. It connects policy experts' alternatives, stakeholder conditions, AI-generated additional alternatives, and human review in one research process.
- POLICY
- Pension Reform
- APPROACH
- Human + AI Policy Development
- FIELD EVENT
- 2026.08.12 Korean Association for Policy Studies
- STATUS
- Research and Pre-verification In Progress
How to use
Utilized in ways necessary for policy research and experimentation.
Not a fixed event procedure, but configured as online, workshop, on-site, or hybrid formats depending on policy development objectives. Configured as online, workshop, on-site, or hybrid formats.
Online Collaboration
Asynchronous opinion gathering from experts and stakeholders.
Workshop and Deliberation
Opinion structuring, issue summarization, and additional alternative review.
Policy Experimentation
Comparison and reproduction of models, prompts, and procedures.
Korea + AI
Connecting Korean AI to the practical capabilities of policy development.
Aiming to create leading cases of AI-based policy development in Korea by applying and publicly verifying domestic AI ecosystem achievements, including independent foundation models, to policy research and development processes.
Utilizing Domestic Models
Comparing utilization characteristics of domestic models such as EXAONE, Solar, and HCX for policy development.
Korean Policy Context
Researching evidence, alternatives, and review procedures within the Korean legal, institutional, and social context.
Open Source Sharing
Sharing methods, code, cases, and failures to enable reuse by future research.
Global AI policy watch
Overseas Trends
Identify how AI is used in policy development from official government and international organization materials, summarizing key contents, human review structures, and implications.
Verifying policy hypotheses with 8,000 agricultural policy survey responses
Case where analysis work spanning about two months was shortened to about 3 days by reviewing civil servant hypotheses using government AI 'Gennai'.
View Korean summary →Government AI adoption and policy development governance
International trend: Policy design utilization remains limited; transparency, assurance, and data quality are key.
View Korean summary →AI assistant supporting regulatory impact assessment
Government pilot assisting regulatory information search and impact assessment writing using a Polish language model and RAG.
View Korean summary →Participate
Contribute new cases and tools via Pull Request.
Propose policy questions, methodologies, code, overseas trends, and verification results, and publish after human review.