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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. Additionally, a case study on how a design and data science team partnered to redesign predictive analytics scores powered by machine learning will illustrate those principles in practice.
Crystal Yan is a design and product leader with international experience in emerging markets, committed to transforming companies to be more design driven and with experience using behavioral design and artificial intelligence to create meaningful user experiences.
Currently, Crystal is freelance researcher and designer serving healthcare, education, finance, and nonprofit clients. She has spoken at conferences in the US, Chile, Germany, Ireland, China, and more.
Learn more: http://crystalcyan.github.io/