2024-10-06-麦肯锡-生成式人工智能在公共管理中的应用——全面利用的七大成功因素_8页_966kb

Generative AI in Public Administration – 7 Success Factors for Widespread Adoption

Generative AI holds significant potential for enhancing public administration by addressing inefficiencies in digitalization, automating tasks, and improving responsiveness. However, adoption remains limited to pilot projects, necessitating strategic factors for scalable implementation.

Key Challenges and Opportunities

Public administration faces pressure to be lean, reliable, and citizen-focused. Generative AI can accelerate digitalization by automating processes like content generation, customer interactions, and data handling. Current efforts focus on initial use cases, but widespread use requires overcoming barriers such as regulatory gaps, technical infrastructure limitations, and talent shortages.

International Context

Countries like Denmark, the UK, and Italy are developing national AI strategies and investments, with Germany planning a €1.5 billion KI fund. This global momentum underscores the need for structured approaches in public sector AI adoption.

Seven Success Factors for Widespread GenAI Use

1. Establish Regulatory and Usage Frameworks: Create harmonized rules for data handling, model quality, and transparency to build trust and guide application.
2. Promote Transparency and Societal Acceptance: Communicate benefits, risks, and limitations through education, stakeholder engagement, and clear guidelines to foster public confidence.
3. Central Provision of GenAI Solutions: Bundle and centrally provide AI tools to reduce redundancy, enable smaller agencies, and leverage economies of scale.
4. Scale Technical Infrastructure: Ensure robust data platforms, vector databases, and flexible components for reliable GenAI integration, emphasizing data quality and accessibility.
5. Build Skills and Attract Talent: Recruit and train staff in AI prompt engineering, data management, and model interaction through partnerships with academia and streamlined hiring.
6. Enable Exchange of GenAI Solutions: Foster interoperability and sharing of applications via common platforms or knowledge bases to avoid duplication and improve deployment.
7. Implement Effective Risk Management: Mitigate risks through monitoring, output validation, and contract management to ensure ethical and secure use.

Achieving widespread GenAI adoption can transform public administration into a more efficient, responsive, and citizen-oriented entity.