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With Chris Butler (Dir. AI, Philosophie Group).
Wed, May 30, 2018 @ 06:30 PM   $20   Product School NYC, 1216 Broadway, 2nd Fl
 
   
 
 
              

    
 
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You can't just add AI' to a project & expect it to work. It isn't magic dust that can be sprinkled on a product. The key to building systems that are integrated into people's lives is trust. If you don't have the right amount of trust, you open the system up to disuse & misuse. During this talk we will go through the building blocks of AI from a UX Design perspective, what trust is, how trust is gained, & maybe more importantly lost, in UX/UI, how to effectively team humans/machines & techniques you can use day-to-day to build trusted AI products.Main takeaways:-Introduction to what you need to know about AI/ML as a product person-Exercises & workshops to get team alignment on the right way to integration with AI/ML for your products-UX/UI patterns for instilling the right amount of trust
Meet the Speaker: Chris Butler

Chris Butler is Philosophie's Director of AI. He leads the firm in human-centered AI engagements. Chris has over 18 years of product & business development experience at companies like Microsoft, KAYAK, & Waze. He first got introduced to AI through graph theory & genetic algorithms during his Computer Systems Engineering degree at Boston University. He has worked on AI-related projects at his startup Complete Seating, data science & constraint programming,, Horizon Ventures, advising portfolio companies like Affectiva,, & Philosophie, AI design, research, & prototyping,. He has created techniques like Empathy Mapping for the Machine & Confusion Mapping to create cross-team alignment while building AI products.
View the Speaker's LinkedIn
--Please note:- Tickets sales at the door are from 6:00 - 6:30 PM (if any are still available)- No refunds unless we have fully canceled the event. Date changes are not included. - For additional info or questions, send an email to events@productschool.com- For last minute questions, send a text to: (646) 679-7377ProductSchool New York - REGWSP -->Workshop - DATAWSP -->
 
 
 
 
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