# AI for Federal HR Classification Canonical URL: ## Overview This 1-day course introduces federal HR classifiers to the practical applications of artificial intelligence (AI) in position classification. Participants will explore how AI can assist with analyzing position descriptions, ensuring compliance with federal standards, identifying inconsistencies, and streamlining classification decisions. Through hands-on activities, classifiers will gain confidence in using AI responsibly while maintaining human oversight, legal compliance, and professional judgment. ## What you'll learn - Recognize how AI can support federal HR classification processes while preserving accountability. - Apply AI-enabled tools to review, analyze, and draft position descriptions more efficiently. - Identify potential risks, limitations, and ethical considerations when using AI in classification decisions. - Practice using AI tools in realistic classification scenarios to enhance accuracy and consistency. ## Curriculum #### Module 1: Introduction to AI in Federal HR - Identify common examples and everyday uses of AI. - Define what Artificial Intelligence (AI) is. - Explain, at a basic level, how AI works. - Apply this knowledge in the introductory exercise “Search vs AI.” #### Module 2: AI Applications in Position Classification - Explore how AI tools assist in reviewing and classifying federal position descriptions. - Traditional vs. AI-assisted classification workflows. - How AI reads and interprets duties, factors, and KSAs. - Demonstration of an AI model suggesting occupational series and grade levels. - Ensuring compliance with OPM classification standards. #### Module 3: Ethics, Oversight, and Legal Consideration for AI - Recognize ethical and legal responsibilities when using AI in federal HR processes. - Recognize data-privacy and confidentiality requirements when using AI. - OMB and OPM guidance on federal AI use. - Recognizing and mitigating bias in AI systems. - The role of human oversight in AI-supported decisions. #### Module 4: AI in Classification - Learn effective ways to phrase your chat when requesting a draft position description. - Identify and address any inconsistencies in the generated results. - Enhance your request through thoughtful refinement. - Evaluate and compare the factor levels within the position description. #### Module 5: Integrating AI Solutions Into a Classification Program - Assess current classification processes to identify areas where AI can improve accuracy, consistency, and efficiency. - Outline how AI-assisted tools will be selected, tested, and implemented, ensuring compliance with Office of Personnel Management (OPM) standards and federal HR policies. - Incorporate change management strategies, including training staff, addressing concerns, and gradually introducing new technologies to minimize disruption. - Emphasize stakeholder engagement by detailing methods to communicate with and involve HR professionals, managers, and employees throughout the process to ensure buy-in and successful adoption. - Use the action plan as a roadmap for transitioning to AI-enhanced classification workflows in a transparent, collaborative, and federally compliant manner. ## Schedule - Jun 24, 2026 9:00am–4:30pm — Live Online - Jul 15, 2026 9:00am–4:30pm — Live Online - Aug 25, 2026 9:00am–4:30pm — Live Online - Sep 22, 2026 9:00am–4:30pm — Live Online - Oct 23, 2026 9:00am–4:30pm — Live Online - Nov 17, 2026 9:00am–4:30pm — Live Online - Dec 14, 2026 9:00am–4:30pm — Live Online ## Instructors ### Bruce Gay — Instructor Bruce is an engaging trainers and program manager who brings 25+ years practical experience to deliver effective and experiential training to students. Able to engage adult learners with a range of backgrounds and professional experiences. Successful at building effective stakeholder relationships and coordinating multi-disciplinary teams for solution delivery. Bruce has over 25 years of project and program management experience across multiple industries. He has a Masters degree from The George Washington University and a B.A. from the University of North Carolina Chapel Hill. Bruce currently runs his own freelance training and consulting business, helping project managers and team leaders improve their business skills, become better leaders, and achieve professional greatness. Bruce is a well-received speaker in the areas of design thinking, project management, cross-team collaboration, and AI tools for projects, and has presented at regional and international conferences. ### 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). ### Brian Simms — Instructor Brian Simms is a seasoned educator and training leader with extensive experience developing and delivering innovative learning programs in project management and emerging technologies. Over the course of his career, he has designed adaptive learning models that combine instructor-led sessions, live online experiences, and self-paced study, ensuring professionals can access training in flexible and effective ways. His work has emphasized the integration of artificial intelligence into professional development, helping organizations and individuals understand how AI can be applied to solve real-world challenges in leadership, project execution, and decision-making. In addition to his instructional expertise, Brian has guided curriculum development, led large training initiatives, and advanced the use of collaboration tools that improve learner engagement and retention. His depth of experience and forward-looking perspective make him uniquely equipped to prepare federal professionals to navigate both the complexities of project management and the transformative potential of AI. ## Pricing **Tuition:** $899