Known design principles applied in new territories.
“Artificial intelligence often looks like magic: sometimes even engineers have difficulty explaining how the machine-learning algorithm comes up with something. We see our job as a UX team as helping people understand how machines work so they can use them better. This doesn’t mean we should explain how a convolutional neural network functions in a simple photo search up. But we should give users hints about what the algorithm does or what data it uses. A good old example comes from e-commerce, where we explain why we recommend certain products. These recommendation engines were the first AI UX many people encountered, many years ago.”