G7 Toolkit for AI in the Public Sector
Summary
The G7 Toolkit for AI in the Public Sector is a comprehensive guide prepared by the Organisation for Economic Co-operation and Development (OECD) and the United Nations Educational, Scientific and Cultural Organisation (UNESCO) for the 2024 Italian G7 Presidency and the G7 Digital and Technology Working Group. The toolkit aims to support policymakers and public sector leaders in integrating AI safely, securely, and trustworthily.
Key Components
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Introduction and Background
- Provides context and background on the role of AI in the public sector.
- Highlights the opportunities and risks associated with AI.
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Enabling Safe, Secure, and Trustworthy AI Systems
- National Strategies and Policies: Overview of existing national AI strategies in G7 members and the European Union.
- Governance Frameworks: Institutional arrangements and coordination mechanisms to ensure AI is managed effectively.
- Safeguards and Guardrails: Measures to protect against potential risks and ensure human-centric AI.
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Current Trends in AI in the Public Sector
- Expected Benefits and Impacts: Detailed analysis of the anticipated benefits and impacts of AI.
- Policy Options: Practical recommendations to address key implementation challenges.
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Mapping the Journey for AI Solutions in the Public Sector
- Stages of Development: Framing, ideation, prototyping, piloting, scaling up, monitoring, and engagement.
- Key Steps and Metrics: Guidance on understanding user needs and setting quality and performance metrics.
Key Data and Insights
- Number of G7 Members: Consulted specific stakeholder groups (Figure 2.1).
- Guardrails or Safeguards: Trends supporting human-centric AI (Figure 2.2).
- AI Use Cases: Reported use cases in G7 members by function, impact, and public sector area (Figure 3.1).
- Benefits of AI: At each stage of the policy cycle (Figure 3.2).
- Implementation Challenges: Key challenges and available policy options (Figure 3.3).
- EU Guidelines: Government procurement guidelines for AI (Figure 3.4).
- Digital Talent and Skills: Framework for digital talent and skills in the public sector (Figure 3.5).
- Digital Transformation: Creating an environment for digital transformation (Figure 3.6).
- Skills for Digital Government: Skills needed for digital government maturity (Figure 3.7).
- AI Competencies: Framework for AI competencies in the public sector (Figure 3.8).
- Digital Workforce: Establishing and maintaining a digital workforce (Figure 3.9).
- Public Sector Data Governance: Framework for public sector data governance (Figure 3.10).
- Data Strategy Framework: For the Federal Public Service (Figure 3.11).
- Data Quality Framework: Principles and practices for Canada (Figure 3.12).
- AI Use Cases in Europe: By implementation stage and policy domain (Figures 3.13 and 3.14).
- Digital Government Investments: Framework for digital government investments (Figure 3.15).
Key Stages and Factors
- Framing: Defining the problem and setting goals.
- Ideating: Generating ideas and concepts.
- Prototyping: Developing prototypes and testing.
- Piloting: Testing on a small scale.
- Scaling Up: Expanding the solution.
- Monitoring: Continuous evaluation and improvement.
- Engagement: Involving stakeholders and users.
Contributions
- Collaboration: Contributions from the G7 Digital and Tech Working Group and various authorities of G7 member states.
- Gratitude: Acknowledgment of the contributions from the G7 members.
Conclusion
The toolkit emphasizes the importance of safe, secure, and trustworthy AI in the public sector, providing practical insights and actionable recommendations to navigate the complexities of AI integration. It aims to support G7 members in leveraging AI for public good and enhancing the productivity, responsiveness, and accountability of public sectors worldwide.
