Demand Accuracy in Your AI Tools: Lessons from Baymard Institute
Most AI-powered tools for UX lack reliability and accountability in their outputs. Demand transparency and proven accuracy, or don’t buy it.
Summary: Most AI-powered tools for UX lack reliability and accountability in their outputs. Demand transparency and proven accuracy, or don’t buy it.
AI-powered UX tools promise efficiency, but frequently lack transparency about their accuracy or limitations. In this episode of the NN/g UX podcast, Baymard cofounders Christian and Jamie Holst discuss why higher standards are needed for AI in UX and other professional domains and explain Baymard’s approach to building its AI-powered ecommerce evaluation tool, UX-Ray.
Meet Christian and Jamie Holst, Cofounders of Baymard Institute
Christian and Jamie Holst are brothers and cofounders of the Baymard Institute, an independent ecommerce-specialized UX organization that has produced hundreds of practical guidelines for ecommerce design. Like NN/G, Baymard has a strong focus on research-backed design guidance, but its work specifically focuses on ecommerce.
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