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Deconstructing machine learning for product design | by Tina Mai | UX Collective

uxdesign.cc · 2,555 words · saved by 1 readers

T he intersection of AI and design is a unique one: on one hand are the data matrices and Ex Machina robots being programmed at 3am, and on the other are the color theories and UI mockups being concocted in Figma. In the past, these two fields have been thought of as separate. Yet if the last decade of ML-powered products has taught us anything, it’s that machine learning is becoming more and more multidisciplinary. In his article about experience design in the machine learning era, Fabien Girardin argues that we are pioneering a new type of design, one that: 1. Creates new types of user experiences. 2. Redefines the relation between humans and machines. 3. Requests a tight partnership between designers and data scientists. We’re heading towards a future where design and data reach a convergence, one that will guide how humans interact with AI as we know it. This article is divided into 3 parts — a product-centric overview of machine learning, a guide to how product designers can ident

Deconstructing machine learning for product design How data and design can collaborate in user-centric products Tina Mai 10 min read · Dec 23, 2022 -- 6 Listen Share Press enter or click to view image in full size T he intersection of AI and design is a unique one: on one hand are the data matrices and Ex Machina robots being programmed at 3am, and on the other are the color theories and UI mockups being concocted in Figma. In the past, these two fields have been thought of as separate. Yet if the last decade of ML-powered products has taught us anything, it’s that machine learning is becoming

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