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Protecting AI and machine-learning inventions

Patenting activity for and -based applications has steadily increased in the last few years. Since -based inventions can be categorised as abstract ideas, a solution-based approach should be kept in mind when drafting patent applications. Here are some tips.

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SwissCognitive Logo“Artificial Intelligence is a new digital frontier that will have a profound impact on the world, transforming the way we live and work” – Francis Gurry, WIPO director general

Technological advances in smart machines and computers are having a huge impact on the banking, business, communication, defence, education, internet, medical and transport sectors. They are becoming dependent on technology to collect and analyse historical data. Further, neural networks are being developed to use the processing power of computers to replicate the intelligence and learning capabilities of the human brain. Examples of these processes are self-driving vehicles, product recommendations on e-commerce websites and fraud detection.

Growing competition to develop has forced major jurisdictions to amend their patent laws – for example, it led India to provide statutory protection to software through the Copyright Act.

is the future

According to WIPO, is the most dominant feature of and is mentioned in more than 40% of all -related patents filed worldwide, with a very high growth rate of 28% between 2013 and 2016. Further, use of the term ‘neural network’ grew at a rate of 46% over the same period. The top three fields in which -related patent applications were filed were telecommunications (more than 51, 273), transport (50,861) and life and medical sciences fields (40,758). This shows that there is a future in and the protection of -based inventions is therefore of utmost importance to inventors and innovators around the globe.

‘Computer program per se’ versus protecting inventions

‘Computer program per se’ means a computer program without hardware implementation, which is considered to be a mathematical model, business method, presentation of information or a scheme. As falls into this category, it is therefore deemed unpatentable in all major jurisdictions. However, these inventions can be protected by linking the computer program to a hardware or computer network since it may include certain other things, which are ancillary to or developed through the program. Therefore, when drafting or -based inventions, it is worth showing real-world application rather than an abstract idea.

For instance, a model may be deemed a mathematical model or abstract idea and is therefore unpatentable. However, the model embedded in a self-driving vehicle for automatic detection of a route can be considered to provide a technical enhancement to self-driving vehicles and thus meets the patentability criteria. Inventors around the globe are encouraged to link with practical applications and innovate -assisted technology.

Since -based inventions can be categorised as abstract ideas, a solution-based approach should be kept in mind when drafting patent applications. Here are some tips:

  • Link the solution to a practical application.
  • Include a system architecture, which illustrates that all hardware elements are connected via a network, which can provide additional support for any objection on unpatentability during prosecution stages. Inclusion of the system architecture proves the hardware and/or the computer network link, thus making it patentable.
  • Draft a system claimshowing that limitations to hardware provide additional proof of the hardware limitations of the -based invention. The system claim may include a memory, an interface and a processor configured to implement an algorithm stored in the memory.[…]

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