AI is in desperate need of designersin part, because machine learning products often originate in the world of research, where design principles are rarely applied. Closing the gap between researchers and designers is the goal of Googles People + AI Research (PAIR) initiative, which launched earlier this summer. PAIR aims to establish design principles for AI systems and build tools for designers and developers as AI moves quickly from the research lab into the products we use every day. At PAIRs first conference in Cambridge, Massachusetts, this week, researchers from Google, MIT, Carnegie Mellon, and the University of Illinois presented their ideas on machine learning systems that have human needs at their core. Based on their comments, here are three problems AI is currently facingand how the right design could help.
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