AI in Government Performance Management

What is Performance Management?

• Definition and purpose in the government workforce

AI Fundamentals for Performance Management

• Types of AI relevant to performance management (analytics, automation, predictive modeling)
• Key terms and concepts

Opportunities and Use Cases

• AI for goal setting and alignment
• Real-time performance monitoring
• Predictive analytics for workforce planning

Fairness, Transparency, and Ethics in AI-Driven Evaluation

• Avoiding bias in automated evaluations
• Ensuring transparency and employee trust
• Government ethical standards and requirements

Government Policy Context

• OMB, OPM, and agency-specific guidance on AI and data-driven HR practices
• Privacy, accountability, and compliance considerations

Practical Tools and Frameworks

• Dashboards and visualization tools
• Setting up AI-driven KPIs and metrics
• Data governance and documentation

Managing Risks and Limitations

• Identifying challenges and safeguards for AI-enabled performance management

Application to Government Work

• Integrating AI practices into existing performance management processes

Action Planning

• Steps to implement or improve AI-enabled performance management