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WHY THIS MATTERS IN BRIEF

As AI and Creative Machines become capable of autonomously innovating their own products AI is increasingly becoming both tool and inventor which throws up a whole bundle of legal questions.

 

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As we continue to see the rise of Creative Machines, that can both design, innovate and produce a wide variety of products by themselves – products including anti-biotics and vaccinescarsclothing and fashion linescomputer chipsfurnitureinterplanetary landers, and a ton of synthetic content that includes art workbooksgamesimages, and even basic movies and video. After years of debate the US Patent and Trademark Office (USPTO) has ruled that Artificial Intelligence (AI) systems cannot be credited as an inventor in a patent. The agency announced their decision earlier this week. The decision came in response to two patents — one for a food container and the other for a flashing light — that were created by an AI system called DABUS which is part of the “Artificial Inventor Project.”

 

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Among the USPTO’s arguments is the fact that US patent law repeatedly refers to inventors using humanlike terms such as “whoever” and pronouns like “himself” and “herself.” The group behind the applications had argued that the law’s references to an inventor as an “individual” could be applied to a machine, but the USPTO said this interpretation was too broad. “Under current law, only natural persons may be named as an inventor in a patent application,” the agency concluded.

The patents were submitted last year by the Artificial Inventor Project. Along with the patents submitted to the USPTO, the team also submitted documents to the UK’s Intellectual Property Office (IPO) and the European Patent Office (EPO). The IPO and EPO have already ruled that DABUS, which was created by AI researcher Stephen Thaler, cannot be listed as an inventor based on similar legal interpretations.

 

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The Artificial Inventor Project is not arguing that an AI should own a patent, just that it should be listed as an inventor, MIT Technology Review notes. It argues that this might be necessary when hundreds or even thousands of employees have contributed code to a system, like IBM’s Watson supercomputer, before the computer itself then goes on to solve a problem. If no human was involved closely enough with an invention to claim credit for it, then the group fears it may be impossible to patent it at all.

The project also argues that allowing AI to be listed as an inventor would incentive innovation since the value these machines are adding would be more clearly recognized.

 

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“If you make a point of recognizing how valuable a machine has been in the creative process, that machine will inevitably become more valuable,” the Artificial Inventor Project’s Ryan Abbott told the Financial Times last year.

Unless the law changes in the future, however, AI is likely to continue to be seen as an inventing tool, rather than an inventor – even though, ironically, increasingly it is becoming both the tool and the creator.

About author

Matthew Griffin

Matthew Griffin, described as “The Adviser behind the Advisers” and a “Young Kurzweil,” is the founder and CEO of the World Futures Forum and the 311 Institute, a global Futures and Deep Futures consultancy working between the dates of 2020 to 2070, and is an award winning futurist, and author of “Codex of the Future” series. Regularly featured in the global media, including AP, BBC, Bloomberg, CNBC, Discovery, RT, Viacom, and WIRED, Matthew’s ability to identify, track, and explain the impacts of hundreds of revolutionary emerging technologies on global culture, industry and society, is unparalleled. Recognised for the past six years as one of the world’s foremost futurists, innovation and strategy experts Matthew is an international speaker who helps governments, investors, multi-nationals and regulators around the world envision, build and lead an inclusive, sustainable future. A rare talent Matthew’s recent work includes mentoring Lunar XPrize teams, re-envisioning global education and training with the G20, and helping the world’s largest organisations envision and ideate the future of their products and services, industries, and countries. Matthew's clients include three Prime Ministers and several governments, including the G7, Accenture, Aon, Bain & Co, BCG, Credit Suisse, Dell EMC, Dentons, Deloitte, E&Y, GEMS, Huawei, JPMorgan Chase, KPMG, Lego, McKinsey, PWC, Qualcomm, SAP, Samsung, Sopra Steria, T-Mobile, and many more.

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