Artificial Intelligence is revolutionizing how government agencies measure, analyze, and improve organizational and employee performance. This four-hour interactive training equips government employees with knowledge and practical tools to harness AI for more effective, data-driven performance management.
Using real-world government examples and hands-on activities, participants will learn how AI can enhance goal setting, monitor progress, and support fair, transparent evaluation processes. The course emphasizes actionable strategies that government teams can implement immediately to improve outcomes, streamline reporting, and align with government policy and best practices.
Target Audience
Government employees in HR, management, IT, or oversight roles involved with performance management or workforce analytics.
This course includes:
- 4 hours of live, project-based training from experts
- Proprietary workbook included
- Verified digital certificate of completion
- Learn at an accredited institution
- Credits: 4.0 CPEs
- Small class sizes
What You'll Learn at a Glance
- Describe the role of AI in modern performance management systems
- Identify opportunities for leveraging AI to enhance goal setting, feedback, and evaluation processes
- Apply practical tools and frameworks for using AI-driven analytics to monitor and improve performance
- Assess risks, limitations, and best practices for responsible AI use in performance management
- Align AI-enabled performance management approaches with government guidelines and ethical standards
Course Syllabus
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
