The U.S. Patent and Trademark Office (USPTO) ruled last week that artificial intelligence systems cannot be credited as an inventor in a patent. This decision was in response to two patents created by an AI system called DABUS.
The
USPTO cited that U.S. patent law refers to inventors with humanlike
pronouns, including “himself” and “herself.” The group that filed the
patents argued that because the law references inventors as
“individuals,” it could be applied to machines. The USPTO concluded that
this understanding was too broad, saying, “Under current law, only
natural persons may be named as an inventor in a patent application.”
The UK’s Intellectual Property Office (IPO) and the European Patent
Office (EPO) have also ruled that DABUS cannot legally be considered an
inventor.
The Artificial
Intelligence Project seeks intellectual property rights for the
autonomous creations of artificial intelligence. Dr. Stephen Thaler, a
member of the group, created DABUS. It is a patented AI system dubbed a
“Creativity Machine,” referring to its specific kind of artificial
intelligence. Systems like DABUS contain branches of neural networks
that are trained with information from different knowledge sources. They
also act as self-critics by monitoring their own neural networks for
new ideas.
Ryan Abbott, another
member of the Artificial Intelligence Team, believes that changing the
legal terms involving patents would incentivize innovation in the AI
sector. In an interview with Financial Times, Abbot said, “If you make a
point of recognizing how valuable a machine has been in the creative
process, that machine will inevitably become more valuable.” As of now,
artificial intelligence is considered a helpful mechanism in the
inventive process, rather than a sole inventor.
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