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Build better AI products with UX

“We built it, because we could” is a common theme in the world of tech. In many cases, engineers and developers create because they want to...

About the presenter

Gavin has 25 years of experience in corporate and academic environments. He is co-founder and Managing Partner of Chicago-based, employee-owned UX and human factors agency Bold Insight. Faculty member of Northwestern University’s Feinberg School of Medicine, he provides UX expertise in electronic health records and health technology and consults on research methods. Gavin is also an adjunct professor at DePaul University. He is a frequent presenter at national and international conferences and the inventor of several patents. Gavin has a MA in Experimental Psychology from Loyola University.

AI and UX

“We built it, because we could” is a common theme in the world of tech. In many cases, engineers and developers create because they want to see what could happen. Artificial intelligence (AI) has matured to the point where its relevance and importance are clear. However, we need to take a long and hard look the datasets that AI is using to learn. The time of “let’s see what happens” has passed and what AI learns now might be difficult to unlearn.

In this webinar, Gavin discussed the core elements from his book, AI and UX: Why Artificial Intelligence Needs User Experience (Apress publishing). Case studies illustrated successes and failures of AI and present a UX framework to pave the way for AI to have success along three core dimensions: context, interaction, and trust. Examples within healthcare and other industries were presented to demonstrate how AI can overcome failures of the past and set a foundation for a better future.

Twitter: @GLEW

See Gavin Lew's Linkedin page

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