# AI in Government Performance Management Course (Self-Paced)

Canonical URL: <https://www.graduateschool.edu/courses/ai-in-government-performance-management-course-self-paced>

## Overview

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.

## What you'll learn

- 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

## Curriculum

#### 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

## Instructors

### Steve Pesklo — Instructor

Steve is an energetic trainer who focuses on applying technical concepts to everyday work practices. He is the founder and president of SoftLake Solutions, a company that specializes in providing data and AI applications to identify fraud for Internal Audit, Criminal Investigations, Forensic Accounting, Privacy, and Compliance.

Steve brings a large amount of experience across multiple industries and government agencies. He is an expert in implementing large data analysis projects across the world, including Inland Revenue in the UK and Argentina, New Zealand, Africa and across Europe. Previously, he was the manager of Data Architecture and Data Services for a large mortgage company. He is a frequent speaker on data analytics and project management topics and speaks fluent German. He has been teaching at the Graduate School for over 10 years.

Steve has an M.B.A. from the University of St. Thomas and a B.S. in Computer Science from California Lutheran University and the Universität Salzburg in Austria. He is certified as a Certified Fraud Examiner (CFE), Project Management Professional (PMP), and a Certified ScrumMaster (CSM).

## Pricing

**Tuition:** $675