How often do we have the designs we want versus the designs that our algorithms know how to make? For many years, Professor Marti Hearst has thought about how to build user interfaces that make use of the output of natural language processing language, which usually does not reveal itself readily to automation. In the spirit of today's reassessment of the role algorithms and AI play in society, this talk will review past and current approaches to using natural language processing algorithms in real designs that affect people in real ways, with a focus on the visualization technique known as word clouds.Marti Hearst, professor in the School of Information at the University of California at Berkeley, researches user interfaces for search engines, information visualization, natural language processing, and improving MOOCs. She wrote Search User Interfaces, the first book on this topic. Hearst has been recognized as a fellow of the Association for Computing Machinery and as a member of the CHI Academy. She received an NSF CAREER award, an IBM Faculty Award, two Google Research Awards, an Okawa Foundation Fellowship, and four Excellence in Teaching Awards. She received her bachelor's, master's, and PhD in computer science from UC Berkeley, and she previously was a member of the research staff at Xerox PARC.