While wrestling with algorithmic fashion recommendations that weren’t quite hitting the mark, we decided to conduct a Turing-like test to understand where our algorithms failed and how they compared to the fashion expert advice they were trained on. We learned it’s tough to balance individual personal taste, trends from our fashion experts, and general “rules” at this scale, but we’re now on our way to creating a unique fashion store for each of our millions of customers. This project had learnings for designing with data that can help guide anyone, in multiple industries, create human and organic experiences at a large scale. It’s a powerful time to be a designer, and we need more people to responsibly create human-centered AI for a better future.
The Algorithmic Fashion Companion: Making Machine Learning Human (and Fashionable)
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10min.Interaction 19
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