| Development of LLM and IPSAspecific legislation | Provide legal framework for LLM and IPSA use in public administration | EU’s proposed AI Act | - Reflect the specificity of LLM and IPSA- Ensure flexibility for technological advancements- Harmonize with international standards |
| Algorithmic accountability regulation | Ensure transparency and fairness in public sector decision-making | U.S. Algorithmic Accountability Act of 2022 | - Establish algorithmic audit framework- Define explainability requirements- Design human oversight mechanisms |
| Updating data protection regulations | Regulate data processing in LLM-IPSA systems | GDPR, California Consumer Privacy Act (CCPA) | - Apply data minimization principles- Strengthen rights of data subjects- Regulate cross-border data transfers |
| Developing ethical guidelines | Ensure ethical use of LLM-IPSA systems | OECD AI Principles | - Establish fairness and non-discrimination principles- Require transparency and explainability- Reflect human-centric values |
| Establishing security standards | Enhance cybersecurity of LLM-IPSA systems | NIST Cybersecurity Framework | - Define data encryption requirements- Establish access control policies- Require regular security vulnerability assessments |
| Interoperability standards | Ensure compatibility between different LLM-IPSA systems | EU’s Interoperability Solutions (ISA2) | - Standardize data formats- Develop API standards- Require cross-platform compatibility |
| Performance evaluation framework | Measure effectiveness and efficiency of LLM-IPSA systems | UK Government Digital Service Standard | - Develop quantitative/qualitative evaluation metrics- Establish citizen satisfaction measurement methodologies- Design continuous improvement mechanisms |
| Workforce development and training regulations | Enhance public servant capabilities related to LLM-IPSA | Singapore’s SkillsFuture initiative | - Designate mandatory training courses- Introduce certification systems- Foster a culture of continuous learning |