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Explore key principles for building user trust in AI-powered products in this 33-minute conference talk. Discover how design and data science teams can collaborate effectively to integrate AI development into product roadmaps. Learn from a case study illustrating the redesign of predictive analytics scores powered by machine learning. Gain insights on overcoming challenges faced by startups when launching AI applications and convincing users to trust the technology. Apply practical strategies for fostering collaboration between design and data science teams to create more trustworthy and user-friendly AI-driven products.
Syllabus
Behind the AI Curtain - Designing for Trust in Machine Learning Products - Crystal C. Yan
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