| Establishing clear vision and goals | Estonia’s Digital Strategy 2030 | Provides a roadmap for LLM and IPSA integration across all government services | - Balance between long-term goals and short-term action plans- Flexible strategy considering the pace of technological advancement |
| Phased implementation approach | U.S. General Services Administration’s AI Center of Excellence | Starts with pilot projects and gradually expands | - Importance of creating early success stories- Systematic recording and sharing of lessons learned |
| Promoting interdepartmental collaboration | UK Government AI Lab | Builds collaboration model among health, technology, and policy experts | - Mechanisms for coordinating interdepartmental interests- Establishing joint performance evaluation frame- work |
| Continuous evaluation and improvement mechanisms | Australian Taxation Office’s AI-based tax processing system | Regular performance reviews and system updates | - Development of objective evaluation indicators- Establishing systems for reflecting citizen feedback |
| Building data governance framework | Denmark’s Basic Data Program | Standardization of public sector databases | - Data quality management processes- Enhancing personal information protection and security |
| Developing ethical AI usage guidelines | Canada’s Directive on Automated Decision-Making | Ensures fairness and transparency in AI-based administrative decisions | - Mechanisms for preventing algorithmic bias- Introduction of explainable AI technologies |
| Talent cultivation and organizational culture innovation | Singapore’s SkillsFuture for Digital Workplace | AI and data literacy education for public sector employees | - Fostering a culture of continuous learning- Introduction of innovation incentive systems |