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How to Build Trustworthy AI Products by Philosophie Director of AI



Product School San Francisco

Data Analytics Event in New York about How to Build Trustworthy AI Products.

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You can’t just ‘add AI’ to a project and 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 and misuse.

During this talk, we went through the building blocks of AI from a UX Design perspective, what trust is, how trust is gained, and maybe more importantly lost, in UX/UI, how to effectively team humans/machines and techniques you can use day-to-day to build trusted AI products.

Chris Butler is Philosophie’s Director of AI. He leads the firm in human-centered AI engagements. Chris has over 18 years of product and business development experience at companies like Microsoft, KAYAK, and Waze. He first got introduced to AI through graph theory and 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 and constraint programming,, Horizon Ventures, advising portfolio companies like Affectiva,, and Philosophie, AI design, research, and prototyping,. He has created techniques like Empathy Mapping for the Machine and Confusion Mapping to create cross-team alignment while building AI products.

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