is an electrical engineer who has obtained numerous patents, many representing himself, in the field of computer security.
Since the 2014 Supreme Court decision in Alice v. CLS Bank International, patent claims including software have faced a much higher barrier for receiving patents than any other field of invention. This has also infected specialized software, such as artificial intelligence (AI), which is both distressing and sad. It also explains why Chinese AI start-ups are receiving more funding than U.S. AI start-ups, a fact that should be sending a shockwave through Capitol Hill. Since Alice, patent examiners have presumptively classified software claims that can be implemented on a general computer as covering nothing more than an abstract idea, which means they are ineligible subject matter under 35 U.S.C. § 101. To overcome this rejection, applicants must show why their claimed invention is something more than just a mere abstract idea. Ironically, what constitutes something more is itself an abstract idea, and even what is an abstract idea is itself an abstract idea. In something straight from out of the Monty Python version of patent eligibility, these key terms – something more and abstract idea – have not been defined by the Supreme Court or the Federal Circuit. As a result, most applications with software are routinely denied, which is understandable when frontline decision makers (i.e., patent examiners) are left without objective guidance. Subjectivity prevails.