When most of us stumble and fall, it's likely we'll end up with bruises, a chipped tooth or maybe scraped-up knees and elbows. But as we age, various factors can conspire to increase the chances we'll fall, and how badly we'll be injured when we do. In the United States, the Centers for Disease Control and Prevention reports, falls are the leading cause of injury-related deaths among adults 65 and older; and the rate of falls for people in that age group increased 30% between 2009 and 2018, costing the country's health care system about $50 million a year. While there are things older adults can do to improve balance and strength, Stanford researcher Karen Liu, PhD, is leading a project to create a wearable robotic device to help predict and prevent such falls. Liu, a professor of computer science, is one of multiple researchers who recently received funding through the new Stanford Institute for Human-Centered Artificial Intelligence Hoffman-Yee Research Grant Program.