"Outdated" AI patent authorship law must be changed, say academics
As AI gets progressively more intelligent, the complex laws surrounding its rights become increasingly difficult to manage
Academics have called for a change in outdated patent laws to allow AI to legally author patented ideas.
A team of academics has created an AI specifically to think of new ideas, two of which include a specially designed food container that can be easily handled by robots and a lamp which flashes in a rhythm which is difficult to ignore, reports the BBC.
As of now, patent offices insist that new patents must be attributed to humans, a notion researchers label "outdated" as they applied for the two patents on the AI's behalf.
The AI in question is called DABUS, created by Missouri-based Dr. Stephen Thaler, CEO of Imagination Engines, and has previously made headlines through its creation of surreal artworks.
Academics from the University of Surrey have teamed up with Thaler and intellectual property (IP) rights lawyers to file the patent in the UK in a bid for it to be attributed to DABUS.
However, Section 7 of the UK's Patents Act 1977 states that "any person may make an application for a patent either alone or jointly with another", but not any other type of entity.
Thaler argues that DABUS works differently to other AIs that are built to solve problems such as automating cloud-based cyber security systems. DABUS is built to create new ideas, an argument which meets the standard criteria of an 'inventive act', according to Thaler.
A spokeswoman from the European Patent Office told the BBC that changing the law to allow non-human entities to legally author patents would create a wealth of problems.
"It is a global consensus that an inventor can only be a person who makes a contribution to the invention's conception in the form of devising an idea or a plan in the mind," she explained.
"The current state of technological development suggests that, for the foreseeable future, AI is... a tool used by a human inventor."
She went on to say that changes to patent law would have knock-on effects on other areas such as authoring rights in copyright law and data protection also.
Ryan Abbott, one of the law professors at the University of Surrey that joined the DABUS project has been invested in the topic of AI patent authorship for years. In 2016, he published a paper on the reasons why AI should be afforded the right to own patents.
"Artificial intelligence has been generating inventive output for decades, and now the continued and exponential growth in computing power is poised to take creative machines from novelties to major drivers of economic growth," said Abbott in the paper's abstract. "In some cases, a computer's output constitutes patentable subject matter, and the computer rather than a person meets the requirements for inventorship."
Speaking to the BBC, Abbott acknowledged the difficulty faced by lawmakers, saying it could take until the mid-2020s before real progress is made.
Top 5 challenges of migrating applications to the cloud
Explore how VMware Cloud on AWS helps to address common cloud migration challengesDownload now
3 reasons why now is the time to rethink your network
Changing requirements call for new solutionsDownload now
All-flash buyer’s guide
Tips for evaluating Solid-State ArraysDownload now
Enabling enterprise machine and deep learning with intelligent storage
The power of AI can only be realised through efficient and performant delivery of dataDownload now