Professional Development Day: Responsible use of Artificial Collaborative Intelligence

Join PMI Atlanta and Georgia Tech for Responsible use of Artificial Collaborative Intelligence, an AI Professional Development Day taking place Wednesday, June 17, at Georgia Tech’s Global Learning Center in Midtown Atlanta. Connect with fellow project management professionals, gain valuable insights from PMI Atlanta leaders and Georgia Tech project management experts, and earn valuable PDUs.

Georgia Tech is an official Academic Partner of PMI Atlanta and an Authorized Training Partner (ATP) with PMI Global. Their Project Management and Agile courses provide the required educational hours needed to prepare for the PMP and Agile certification exams.

Agenda

5:00 - 5:45 Dinner and Networking

6:00 - 6:30 Introductions and Keynote Presentation

6:35 - 7:05 Breakout Session 1

7:15 - 7:45 Breakout Session 2

7:55 - 8:30 Breakout Session 3

Keynote Presentation

"Algorithmic Leadership: How AI Is Reshaping Decision-Making in Project-Based Organizations" by Dr. Shawn Liu

Artificial intelligence is no longer a peripheral tool in project management. It is becoming a structural force that redefines how decisions are made, who makes them, and how project leaders exercise authority. This session introduces the concept of algorithmic leadership: a new form of distributed decision-making authority that emerges when AI and machine learning systems take on active roles in planning, monitoring, and executing project work.

Drawing on emerging research at the intersection of strategic management, leadership theory, and AI, this session presents a conceptual framework for understanding how AI-augmented decision structures work in project-intensive organizations. It examines the spectrum of human-AI decision authority, from augmentation to delegation, and what this means for project managers navigating hybrid human-AI work environments. Attendees will leave with conceptual tools and practical perspectives to make sense of AI's growing role in project leadership.

Learning Objectives

By the end of this session, participants will be able to:

1. Define algorithmic leadership and explain how AI/ML tools are restructuring decision-making processes across project planning, monitoring, and execution stages.

2. Identify hybrid human-AI decision authority structures emerging in project-intensive organizations and discuss their implications for PM roles and competencies.

3. Assess strategic implications of AI adoption for their own organizations and identify practical steps toward developing AI-augmented project leadership capabilities.

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Breakout Sessions

"Optimize Before You Automate: A PM’s Roadmap for Responsible, Lean-Driven AI Adoption" by Kizmet Charles, PMP

Learning objectives:

• Apply key Lean principles to assess and improve project processes before introducing AI.
• Use a simple, PM-friendly framework to evaluate and sequence responsible AI adoption.
• Examine how AI can support key PM activities—from documentation to risk analysis

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"Business Case for AI" by Dr. Sarv Kohli, PMP, ACP

This session will review playbooks of successful CIOs to dive into strategies for moving from experimentation to enterprise-wide adoption, building frameworks for ROI, and ensuring AI initiatives deliver competitive advantage rather than isolated wins.

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"Passing the CPMAI Exam" by Glenn Itliong, MBA, PMP

This talk provides a practical, no-nonsense guide to passing the CPMAI certification on your first attempt. Drawing on real-world experience in project management and AI-driven initiatives, it breaks down the exam structure, key concepts, and the most common pitfalls candidates face. Attendees will learn how to focus their study efforts, connect theoretical AI principles to practical use cases, and apply proven strategies for retaining and recalling critical information. The session also covers time management techniques, exam-day tactics, and how to approach scenario-based questions with confidence—equipping participants with a clear, efficient path to certification success.

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Date and Time

Wednesday, June 17, 2026, 5:00pm - 8:30pm

Location

Georgia Tech Global Learning Center, 84 5th St NW, Atlanta, GA 30332

In-Person Fees

Member: $38
Non-Member: $48
Student*: $5 

Program Only (No Dinner): $30 for Members, $40 for Non-Members, FREE for Students* 

*Student discount available through discount code PDDStudent. Must show Student ID at registration desk.