Behind the AI Curtain: Designing for Trust in Data Science

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Published on 2017-08-18 by

When startups first launch, they can make the news with application of cutting edge AI – but convincing users to trust the AI is often another story. There’s often also no process for integrating future AI development into product roadmaps. This session covers three key principles for how design and data science teams can work together better to build greater trust among users, and a case study to illustrate those principles in practice.

Learn more about Crystal Yan.

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