Human-Centered AI - Livestream

1 Day | 0.2 CEUs

Overview

This session introduces a human centered approach to AI, focused on ensuring technology initiatives are grounded in real user needs, real work, and real constraints. Rather than starting with solutions or tools, participants learn how to frame AI opportunities through the lens of the people who will ultimately use, trust, or reject them.

Through hands-on exercises and guided discussion, participants practice core human centered design techniques such as qualitative insight gathering, theme synthesis, and opportunity framing. The session shows how these framed opportunities become the foundation for effective design sprints, rapid prototyping, and AI initiatives that are far more likely to be adopted and deliver value.

What You Will Learn

At the conclusion of the course, you will be able to:

  • Define core human centered design (HCD) principles and explain why they are critical to AI readiness and adoption
  • Understand how user needs, behaviors, and constraints shape successful AI solutions
  • Practice qualitative insight techniques by simulating interviews with frontline and operational roles
  • Understand how framed opportunities feed directly into design sprints and rapid prototyping efforts
  • Identify ways to rapid prototype solutions to learn quickly and derisk assumptions

Key Topics Covered

Key topics covered in this interactive short course include:

  • Human Centered Design Foundations: Core HCD principles and why starting with people is essential for effective AI initiatives
  • Qualitative Insight Gathering: Best practices for interviewing and observing frontline, operational, and knowledge workers with an HCD mindset
  • From Insights to Themes: Using divergent and convergent thinking to identify patterns across user needs, pain points, and goals
  • Opportunity Framing: Translating themes into clear opportunity statements that focus teams on the right problems
  • Bridge to Design Sprints and Prototyping: How framed opportunities become inputs to design sprints, rapid experimentation, and early AI concept testing

Prerequisites

N/A

CLASS CANCELLATION:

IISE reserves the right to cancel a class up to 15 business days prior to the scheduled start date

Registration Fee

Member: $175 Non-Member: $195

Course Schedule

Course ID: 5186 Apr 22 - 22, 2026 Norcross, GA Register