Introduction
Ensuring the responsible use of AI in government
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1. Smart Government: Leveraging AI to Drive Public Sector Transformation
A brief history of AI in government
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Current and emerging AI applications in the public sector
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2. Building and Implementing Your Responsible AI Strategy
The core principles of responsible AI
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The core components of a responsible AI strategy
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Aligning responsible AI strategies with public sector missions
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3. AI Use Cases for Efficiency, Effectiveness, and Equity
AI applications in transportation
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AI applications in healthcare
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AI applications in law enforcement
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AI applications in social services
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4. Risk Assessment and Management
Identifying potential risks in public AI projects
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Regulatory and compliance considerations for government AI
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Tools and frameworks for AI impact assessment: Managing risk
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5. Scaling AI Use in the Public Sector
Best practices for pilot projects and phased implementations
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Securing funding and stakeholder buy-in
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6. Evaluating and Sustaining AI Initiatives
Key performance indicators (KPIs) for public sector AI
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Updating and maintaining AI systems for ongoing relevance
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Conclusion
Where to continue your AI learning journey
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