Artificial Intelligence Will Help to Solve the USPTO’s Patent Quality Problem
About a month ago, Steve Brachmann authored an article concerned with a brief given to Capitol Hill staff by Professors Frakes and Wasserman. The article highlighted fundamental, as well as practical, problems with Professors Frakes’ and Wasserman’s proposal (i.e. doubling the number of patent examiners as a means to reduce the number of invalid patents and thereby prevent societal harms) and how it could be detrimental to the U.S. patent system. The IPWatchdog article points to several issues with Frakes’ and Wasserman’s proposal, but does not discuss other approaches or options, such as using artificial intelligence tools to improve the patent application review process—an option that USPTO Commissioner for Patents Drew Hirshfeld said in a recent Senate IP Subcommittee hearing that the Office is actively pursuing. According to PWC, 72% of executives testify that AI improves internal operations while freeing up workers to perform more creative and meaningful tasks. In fact, while some might fear that “robots” will take human jobs, technological innovation has been proven to generate more jobs than it takes, while automating tasks, like patent search.