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AI in Government Performance Management

Discover how AI can transform performance management in government with this interactive course. Learn practical strategies and tools to enhance goal setting, streamline evaluations, and ensure fair, data-driven decision-making across your agency.

  • Beginner
  • 18 and older
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  • Live Online
  • 4 hours
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Start Dates (0) $675/person

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Class Description

Description

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

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

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Graduate School USA

Graduate School USA (GSUSA) is a premier provider of workforce training and professional development, serving federal, state, and local governments, businesses, and adult learners across the U.S. It’s been delivering real-world, results-oriented education since 1921, offering over 500 courses—spanning HR, leadership, cybersecurity, project management, and more—in flexible formats tailored to today’s public sector needs.

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