WIPO Conversation
IP and FrontierTechnologies

AIInventions

AI Inventions
Patent applications in the artificial intelligence (AI) field increased
by 718 % between 2016 and 2022, and the AI market is expected to growto USD 191 billion by 2024.
Advances in computing power, algorithmic capabilities and the growing
availability of data have brought AI innovations into many areas of ourlives. AI is also a key component of emerging technologies such as theInternet of Things (IoT), robotics and the metaverse. AI innovations
present significant opportunities for economic growth.

Internet of Things (IoT)

Robotics

Metaverse

AI is a fast-moving area for policymakers
to watch closely

Current state of play
AI is a remarkable tool, with the potential to accelerate innovation anddevelopment. AI systems have become very efficient in audio, text andimage recognition. They gain insights by processing vast amounts of data.
However, many scientists consider current AI systems to be unintelligent.
AI is not adaptable, and it lacks a real understanding of the world. It
needs to be designed to solve specific, pre-set tasks. Its predictions areinfluenced by the quality of the model and data. Incorrect assumptions
can lead to biases and skewed outcomes. This is sometimes referred to as“garbage in, garbage out.”

Key IP considerations
Intellectual property (IP) is a key driver of innovation. The current IP
system was designed to foster human innovation and creation. However
as AI develops, it is changing the human element of innovation.

Policymakers will need to consider– how AI innovation fits into the current IP system;– how to balance the value of human and AI innovation as AI develops
rapidly to become more autonomous; and– how to ensure that the IP system continues to foster innovation in thiseconomically significant area.

Definitions of AI inventions
It is important to define what is meant by an AI invention as each type willraise distinct questions relating to IP.
AI models or algorithms
Definition

Inventions on core AI technology itself.

ExampleNew or improved AI techniques, models or algorithms.

IllustrativeIPquestions

Can an AI model be patented, or is it simply mathematicalmethod?
Does copyright provide enough protection for AI models
and algorithms?
Are AI models the same as computer-implemented
inventions?
What level of technical effect is required for patentability?

AI-assisted inventions
Definition

Inventions made using AI as a tool in the inventive process.

ExampleThe use of AI in drug discovery to select drug candidates.

IllustrativeIPquestions

Who is the inventor: the data provider, the AI model
developer or the owner of the AI?
How does the definition of a person skilled in the artchanged due to AI tools becoming more widely used?
Will the use of AI as a tool raise the bar for inventive step?

AI-based inventions
Definition

Inventions in which AI is part of the inventive concept.

ExampleA translation device incorporating AI deep learning.

Illustrative
IPquestions

What are the enabling disclosure requirements for the AI
model and training data?
Would the person skilled in the art be able to replicate
the invention?

AI-generated inventions
Definition

Inventions made autonomously by AI, without
human input.

ExampleThe DABUS applications, in which an AI system wasclaimed to have generated new inventive concepts.

Illustrative
IPquestionsShould AI-generated inventions benefit frompatent protection?
Does patent law requrire the naming of a human inventor
or can an AI system be named?
What are the arguments for recognizing AI inventors andhuman inventors?
What alternative IP policy solutions could be envisaged?

Can AI invent autonomously?
DABUS is an AI system that was reported to have conceived of twoinventions. DABUS patent applications have been filed around the world,claiming that the inventions were made by DABUS without human input.
Many computer scientists believe that AI is not yet able to invent
autonomously. However, the DABUS patent applications highlight difficult
IP policy questions surrounding AI. As AI technology quickly evolves,
there is a need to consider the options should AI reach the stage of
inventing autonomously.

Many countries have rejected the DABUS applications, as the relevant
patent laws require the naming of a human inventor. From a policy
perspective, it is worth asking whether IP law should continue to requirethat a human be named as the inventor, whether it should allow an AI
inventor to be named or whether there are alternative solutions.

AI-generated inventions: Implications for IP policy
Each of the possible approaches to AI inventorship has potential
implications across the complex IP legal framework. Options will need tobe considered in the context of local innovation ecosystems.
Policymakers will need to keep a close eye on who the inventor isunder patent law and the technical capability of AI technology toassess when these scenarios may become relevant.
Illustrative examples:
No changes to the current IP laws – human inventors only
– Will the lack of patent protection for AI-generated inventions lead to anincreased reliance on trade secrets protection, feeding the black box
problem of AI?
– Will investment in AI be disincentivized?
– Would it be a ground for patent revocation if a human were wrongly
named as an inventor of an AI-generated invention?
Allowing AI models to be named as inventors– Do AI systems need IP incentives at all?
– Who should own an AI-generated invention?
– Is joint inventorship between an AI inventor and a human inventor
the answer?
– Would this disincentivize human invention and make humaninventions obvious?
– Who is the inventor under patent law, and what technical capability
would AI need to qualify as an inventor?
Alternative solutions to AI inventorship– Would AI innovation best be incentivized with a new sui generis IP right?

Alternative solutions to solely human inventorship or allowing AI
inventorship might be a compromise. Such alternative solutions include
completely removing the requirement to name an inventor at all, naming
the person with the closest connection to the AI as the inventor, naming
a human inventor but requiring a note to be added explaining theinvolvement of AI, or a sui generis right for AI inventions.

The role of the patent system
Policymakers may want to go back to basics, bearing in mind
economic analyses of IP inventorship and the social purpose of thepatent system when considering the available options.
The patent system forms a bargain between the inventor and the public.
In return for disclosure of the invention, the inventor has limited-time
exclusive rights to exploit it, after which the invention passes into thepublic domain. From a social purpose perspective, allowing AI to be
an inventor might detract from the patent bargain. From an economic
point of view, the patent system is viewed as a policy tool to incentivize
investment. While AI itself cannot be incentivized by IP, IP protection
could incentivize inventors to develop AI invention machines.

Trade secrets as an alternative to patents
Inventors of AI innovations (including AI models and algorithms) are
faced with the dilemma of trying to patent their inventions or turning totrade secrets. While patents provide an easier means of enforcement,
the patentability of AI innovations can be uncertain, making trade
secrets a cheaper option. The table below shows the advantages anddisadvantages of using trade secrets to protect IP.

Advantages of trade secrets

Disadvantages of trade secrets

No disclosure is required, sothe invention never enters thepublic domain

Open to reverse engineering

Unlimited duration

Difficult to detect infringement

No registration fees

Difficult to enforce, withlimited remedies

Avoids uncertainty in thepatentability of AI inventions

More difficult to transfer, licenseand sellReduced disclosure andtransparency for the public

AI technology is advancing rapidly, and innovators need support now
with IP questions around AI models, AI-assisted inventions andAI-based inventions.

Case studies
Real-life stories from innovators in the AI space show that the IP questions
they face focus on AI models, AI-assisted inventions and AI-basedinventions. Significant human input is still an important part of theinventive process and AI innovations.
The table below shows the role IP has played in real-life cases.
Invention

AI-assisted invention producing personalized bonereplacement tailored using CT scans and 3D printing.

Role of IP

IP allows the technology to be commercialized andprotected, but also ensures that the invention does not
infringe existing IP.

Invention

AI predictive model enhancing tractor utilization, using
satellite imagery and machine learning techniques.

Role of IP

IP gives the company the freedom to promote andshare knowledge.

Invention

AI-based invention of a diabetic retinopathy screening
system, which detects early signs of specific diabetesinduced eyesight deterioration.

Role of IP

IP is key to getting traction in the business world.

Support for innovators
As AI becomes a strategic capability with significant economic impact,
many WIPO member states and IP offices are seeking ways to foster
innovation in the AI field, close the technology gap and encourage
economic growth.
Some examples includeNationalAI strategies

Public-private
taskforces

Applicantguidelines

Publicconsultations

Crosstechnology
examination
teams

Inter-officecooperation

Examination
guidelines

AItools

Copyright
exceptions

Specific examples can be found in the WIPO AI and IP Clearing House,
which gathers together the main government instruments and policy
updates relevant to AI and IP.

Further reading

The discussion in the sixth session of the WIPO Conversation focused on
the full range of AI inventions to help policymakers understand potential
policy choices. More information about the sixth session of the WIPO
Conversation, including the program, presentations, summary andwebcast, can be found on the meeting page.
More information about IP and frontier technologies is available on theWIPO website: www.wipo.int/ai

Next steps
To keep informed about the next session of the WIPO Conversation, signup for the IP and Frontier Technologies Division’s newsletter by sending
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© WIPO, 2024 /Attribution 4.0 International (CC BY 4.0) / The CC license does not apply to non-WIPO content in this publication. / Cover: Getty Images /Extreme Media, imaginima, MTStock Studio, zokara; Unsplash / Andrea G, Anton Maksimov 5642.su, Arteum.ro, charlesdeluvio, Google DeepMind,
Philipp Katzenberger, Possessed Photography / WIPO Reference RN2023-11EN; DOI: 10.34667/tind.49113

The WIPO Conversation on IP and Frontier Technologies is a leading
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stakeholders on the impact of frontier technologies, including AI, on IP.

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