How should UX teams manage risk in AI-powered design?
All answers emphasize proactively identifying, assessing, and prioritizing risks—balancing potential benefits with safeguards—though they differ on whether to focus more on governance, user testing, or failure scenarios.
5 answers
Answers


Josh Clark
Principal · Big Medium
Assess risk vs benefit
Josh Clark says a big part of approaching this is looking at where risk is acceptable versus unacceptable and mapping that across the possible benefit of automating something.
Greenbook · Watch on YouTube

Matt Ausman
Chief Information Officer · Zebra Technologies
Define risk tolerance
Matt Ausman says the number one thing is to have governance and define your risk tolerance—deciding where you want to be on the adoption curve—because you can't define your rulebook until you do.
The Control Layer with Amer Altaf · The Control Layer with Amer Altaf · Listen at 52:43

Blaine Billingsley
Member of Design Staff · Openai
Prioritize failure testing
Blaine Billingsley says teams should focus as much on what failure looks like and the worst it will do as on what good looks like, because there's no way to cover everything at scale.
The Product Experience · The Product Experience · Listen at 29:09
Todd Olson
CEO / Founder · Pendo.Io
Score by criticality
Todd Olson says that like any risk you take, you have to score it on its criticality to the business, avoiding risks that could leak sensitive customer data and being very careful with one-way doors.
DataCamp · Watch on YouTube
Faith Forster
Chief Maker · Discoveree For Product Leaders & Managers
Prioritize continuous user testing
Faith Forster says teams should prioritize continuous user testing—working alongside customers, watching how they use the product, and fixing friction—because AI makes changes quick and adoption, not launch, is the definition of done.
The Product Experience · The Product Experience · Listen at 20:36
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