Fri, Aug 21, 2026
6:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
Designing Trustworthy AI Experiences
Jason Cranford Teague
Jason Cranford Teague is a creative strategist, designer, educator, and author
Fri, Aug 21, 2026
6:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
Designing Trustworthy AI Experiences
Jason Cranford Teague
Jason Cranford Teague is a creative strategist, designer, educator, and author
What you'll learn
The five things trust is actually made of
A simple trust audit that turns a vague "this feels off" into five specific, fixable gaps.
How to spot the weakest link in trust
Why an AI feature that's great on four dimensions and broken on one is a broken feature, and how to find the break fast.
The repair, not just the diagnosis
For each gap we find, the specific interaction move that fixes it.
A skill you can use immediately
We'll audit a real AI customer-service chatbot live, so you leave able to run the same audit on your own product.
Why this topic matters
AI features rarely fail because they don't work. They fail because people don't trust them. "I don't trust this" usually arrives as a vague feeling, not a finding. In 30 minutes you'll learn to audit AI features across five checkable dimensions live, on a real chatbot, and turn "this feels off" into specific gaps with specific fixes. Whether you design, build, or manage AI, it's the lens to carry.
You'll learn from
Jason Cranford Teague
Creative Technologist
Jason Cranford Teague is a creative technologist, designer, educator, and author who teaches Designing Trustworthy AI Experiences on Maven. He believes trust isn't a static attribute you hope for — it's a dynamic process you can design, measure, and repair.