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Last month, I had the chance to attend CSS Day 2019 in Amsterdam, a two day event split between a “UI day” focusing on the intersection of design and development and a “CSS day”, with speakers who covered more in-depth, technical CSS subjects.

The talks were as diverse as the background of the speakers themselves, but there was one common thread: In this era of rapid change, are we, as product people, equipped to design for automation, machine learning, and AI?

What does automation mean for designers?

It’s hard to work on a product team that hasn’t automated some part of their workflow in the name of productivity. If machines can take care of the repeatable tasks and heavy lifting, designers can focus on doing more meaningful work. But how does this affect the way we use the work being created by machines?

Josh Clark, founder of design studio Big Medium, provoked the audience with this very question during his talk, ‘A.I. is your New Design Material’. Some of the most impressive advancements in recent technology are things like facial recognition, predictive text, and image search, all powered by machine learning. But it’s important to remember – all of these technologies are still built on code. The upside is less room for error. No real emotions, expectations, or feelings get in the way of the job it was designed to do.

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What does automation mean for designers?

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