Georgia Tech Global Learning Center,
Wednesday,
June 17, 2026 
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.
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
In-Person Fees:
Member: $38 | Non-Member: $48 | Student*: $5
Program Only (No Dinner):
Member: $30 | Non-Member: $40 | Student*: Free
*Student discount available through discount code PDDStudent. Must show Student ID at registration desk.
Algorithmic Leadership:
How AI Is Reshaping
Decision-Making in Project-Based Organizations
Dr. Shawn Liu
Clinical Assistant Professor of Management
J. Mack Robinson College of Business, Georgia State University.
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.
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.
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.
Meeting content, presenters, and location are subject
change.
Refunds will not be made for changes in meeting content, presenters, or
locations.