Building Trust x Design: UX Testing Protocol for AI Products
Hosted by Riley Coleman
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What you'll learn
AI Trust Gap : Identify Where Your Product Is Vulnerable
Learn a practical method to identify where your AI product might be losing user trust and how to address these critical
Ethical Testing Protocols for AI Features
Master the specific testing methods required for AI products that differ from traditional software UX testing.
From Testing to Implementation: Action Plan
Discover how to translate trust testing results into design improvements that your teams can implement immediately
Why this topic matters
Consumer Trust is Plummeting: AI trust has dropped from 61% to 53% globally—between 2023 and 2024 - and in the U.S., it's down to 35%! (Forbes, 2024).
If consumers don't trust AI, they won't use AI-powered products. This session equips you with the practical testing frameworks to identify trust gaps early—before they impact your bottom line and damage your brand reputation.
You'll learn from
Riley Coleman
Founder -AI Flywheel (Ex Design Director @Epidemic Sound)
Design Leader with 15+ years in human-centred design across agencies, fintech and enterprise products. Including last role as Head of UX Research @ Epidemic Sound. Certified in AI Ethics (LSE) and led award-winning programmes at Telstra and Australian Red Cross.
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