The Ownership of Invention Patent Rights for Generative Artificial
Intelligence
Xuanzhe Liu
School of Law, Yangzhou University, Yangzhou, Jiangsu, 225009, China
Keywords: Generative Artificial Intelligence, Technical Solution, Ownership of Patent Right.
Abstract: With the development of computer technology, generative artificial intelligence technology has gradually
matured. This has brought significant challenges to China's existing patent law. This article collates current
patent law provisions, judicial decisions, and relevant doctrines in China and foreign jurisdictions. Under
China's domestic patent law, there are four categories of patent ownership for inventions: ownership of non-
service inventions, ownership of service inventions, ownership of commissioned inventions, and ownership
of joint inventions. The two pre-dominant doctrines recognized in Chinese academia are the User Doctrine
and the Investor Doctrine. Regarding foreign jurisdictions, this article examines patent ownership regulations
in Japan, the United Kingdom, and the United States. In terms of judicial practice, the DABUS case serves as
an entry point to explore whether AI systems can qualify as legal patent holders. Among foreign academic
theories, the Investor Doctrine and User Doctrine also hold significant recognition.
1 INTRODUCTION
Artificial intelligence technology is defined through
four dimensions: task execution, decision-making
scheme formulation, predictive anticipation, and
autonomous capability. It is conceptualized as a
tangible capacity that mimics human-like abilities to
perform real-world tasks and engage in
communicative interactions (Homero, Manuel,
Timilehin. 2024). In the contemporary era, alongside
China's high-quality economic development and
sustained advancement in technological capabilities,
generative artificial intelligence (AI) technology has
entered a phase of vigorous growth. This progress has
catalyzed significant quantitative and qualitative
leaps across industries. According to the Generative
Artificial Intelligence Application Development
Report, China has preliminarily established a
comprehensive AI industrial ecosystem
(CNNIC, 2024). Current statistics indicate that the
number of related enterprises exceeds 4,500, with the
core industry scale approaching 600 billion RMB.
The industrial chain extensively covers upstream and
downstream critical segments, including chips,
algorithms, data, platforms, and applications,
demonstrating robust momentum and immense
developmental potential (CNNIC, 2024). The
emergence of China's generative AI system Deepseek
in 2025 marks the nation's successful entry into the
AI era, with technological capabilities reaching
world-leading levels. Deepseek's achievements
underscore that computational efficiency, rather than
sheer scale of computing power, plays a decisive role
in AI advancement (Gibney, 2025). However, as
generative AI continues to evolve, its learning and
algorithmic capacities have achieved unprecedented
enhancement, enabling widespread applications
across domains. It not only assists humans in creative
endeavors but also independently completes
inventions or innovations under certain
circumstances. By leveraging human-input
instructions and content, AI autonomously generates
creative solutions through powerful data mining and
decision-making capabilities. Remarkably, AI
technology can even facilitate profound emotional
exchanges with humans, redefining and
reconstructing diverse social relationships (Mark,
Charlie, 2022). These transformations have ignited
intense legal debates over whether AI-generated
content qualifies for patent rights and how such rights
should be allocated. Currently, China's Patent Law
lacks explicit provisions regarding the patent
ownership of generative AI outputs, and academia
remains divided on this issue. Against this backdrop,
this paper systematically categorizes and evaluates
existing scholarly perspectives on patent ownership
368
Liu, X.
The Ownership of Invention Patent Rights for Generative Artificial Intelligence.
DOI: 10.5220/0014381000004859
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 1st International Conference on Politics, Law, and Social Science (ICPLSS 2025), pages 368-374
ISBN: 978-989-758-785-6
Proceedings Copyright © 2026 by SCITEPRESS – Science and Technology Publications, Lda.
of AI-generated content. Through this research, the
author aims to reconcile conflicts between AI and
traditional patent frameworks while providing
readers with a comprehensive understanding of
research gaps and advancements. Ultimately, this
study seeks to offer actionable insights for future
theoretical exploration and practical implementation.
2 PATENT OF INVENTIONS BY
GENERATIVE ARTIFICIAL
INTELLIGENCE
Among the six circumstances listed in the Patent Law
where patents are not granted, the provision on "rules
and methods for intellectual activities" is most likely
to hinder artificial intelligence-generated works from
becoming objects of patent law. Technical solutions
generated by artificial intelligence are the results of
computer program algorithms and do not fall under
the category of rules and methods for intellectual
activities (Chen, Xu, 2022). Specifically, artificial
intelligence's processing of basic data through deep
learning already constitutes a modification of existing
technologies. Through comprehensive retrieval and
screening, it can create technologies with features
differing from existing ones to a certain extent.
Second, the complexity of artificial intelligence has
minimal impact on the feasibility of technical
solutions, and usage levels and value judgments are
unaffected by changes in subjectivity (Liu, Wei,
2019). Third, artificial intelligence can generate
original and positively effective inventions based on
user instructions, leveraging its powerful data
retrieval, analysis, and learning capabilities.
Therefore, invention technical solutions generated by
artificial intelligence fully meet the eligibility
requirements for patent rights.
3 OWNERSHIP OF PATENT
RIGHTS FOR INVENTIONS BY
ARTIFICIAL INTELLIGENCE
3.1 Current Situation of the Ownership
of Patent Rights for Inventions by
Artificial Intelligence in China
3.1.1 Current Situation of Legislation
Currently, there are four provisions in China's legal
system regarding the arrangement of the ownership of
patent rights: the ownership of patents for non-service
inventions, the ownership of patent rights for service
inventions, the ownership of patent rights for
commissioned inventions, and the ownership of
patent rights for cooperative inventions.
The General Provisions of the Civil Code of China
clearly stipulate that civil legal subjects are divided
into natural persons, legal persons, and
unincorporated organizations, and artificial
intelligence is not granted such status. Since
intellectual property is a kind of private right, and the
law of intellectual property is mainly a special civil
law, the civil law governs various individual
intellectual property laws. This means that the legal
subjects in the Patent Law are the same as those in the
Civil Law, namely natural persons, legal persons, and
unincorporated organizations. Similarly, artificial
intelligence is not granted the subject qualification of
a patentee.
China's patent system stipulates that for non-
service inventions and creations, the right to apply for
a patent belongs to the inventor; after the application
is approved, the inventor shall be the patentee. In free
inventions, the inventor enjoys the qualifications of
both the patent applicant and the patentee. According
to Article 13 of the Implementing Regulations of the
Patent Law, an inventor refers to a person who has
made a creative contribution to the essential
characteristics of the invention or creation (The State
Council of the People's Republic of China, 2023).
Secondly, according to the provisions in the
"Guidelines for Patent Applications Related to
Artificial Intelligence (Draft for Solicitation of
Comments)" issued by the National Intellectual
Property Administration in 2024, the inventor whose
name is signed in the patent document must be a
natural person, and artificial intelligence systems and
other non-natural persons shall not be regarded as
inventors. This means that no matter how significant
a role artificial intelligence plays in the process of
invention and creation. It cannot be signed as an
inventor. Only a natural person who has made a
creative contribution to the essential characteristics of
the invention or creation can be recognized as an
inventor and signed. It can be seen that in the case of
service inventions, when an inventor uses artificial
intelligence to generate an invention, the patent right
of the invention is likely to be granted to the inventor.
According to the provisions of China's Patent
Law, service inventions are divided into two
categories. The first category is inventions and
creations completed in the performance of tasks
assigned by the entity, and the second category is
inventions and creations mainly completed by using
The Ownership of Invention Patent Rights for Generative Artificial Intelligence
369
the material conditions of the entity (The Standing
Committee of the National People's Congress,2020).
In the first case, if an employee of the entity uses
artificial intelligence to complete the invention and
creation as part of the work task assigned by the
entity, obviously the patentee of the invention
belongs to the entity. In the second case, if an
employee uses the artificial intelligence equipment
owned by the entity to complete the invention, the
patent right may belong to the entity. It can be seen
that in service inventions, although the inventor has
contributed a great deal of wisdom and cost, the
patent right still belongs to the entity.
A commissioned invention means entrusting
others to complete the invention and creation in the
manner agreed upon in the contract. Regarding the
ownership of the patent right for this type of
invention, both China's Patent Law and Contract Law
adopt the principle of contract priority, that is, the
patentee is determined according to the content
agreed upon in the contract. If the contract agreement
is unclear or there is no arrangement regarding the
ownership of the patent right, generally the principle
of giving priority to the entrusting party (i.e., the
inventor) is adopted, and the inventor shall enjoy the
patent right. In the case of a cooperative invention,
usually the patent right is jointly owned by all
inventors.
3.1.2 Current Situation of Domestic
Theoretical Research
Facing the diverse subjects of patent rights, the
Chinese academic community generally adopts the
"user theory" and the "investor theory" for the
arrangement of the patent rights of the generated
inventions.
The internal logic of the operation of artificial
intelligence is to display the inner thoughts and
concepts of users through its own powerful
capabilities of information retrieval, resource
integration, and advanced deep learning ability, based
on the language and instructions input by users.
During the operation of artificial intelligence, users
also need to continuously modify and correct the
generated content to achieve the original
expectations. Throughout the whole process, users
need to spend a lot of time and energy. Evidently,
users have made outstanding and substantial
contributions to the output of the generated products,
which conforms to the definition of an inventor in
China's Patent Law.
Therefore, many scholars in the academic
community believe that users have carried out a large
amount of preparatory work in the process of artificial
intelligence invention and creation, and have made
substantial contributions to the output of the content,
so they should be eligible as patent right holders. Liu
Youhua and Wei Yuanshan believe that users have
collected, screened, integrated, and optimized the
relevant information content before operating
artificial intelligence. The resulting technical solution
is essentially a manifestation of the user's wisdom and
makes a substantial contribution to the output
technical solution (Liu, Wei, 2019). Yang Lihua
believes that users of artificial intelligence are deeply
involved in every stage of invention and creation,
making huge and substantial contributions to the
generation of invention and creation. They are closely
linked to the invention and creation of artificial
intelligence in terms of time and space. Moreover,
this can prevent patent rights from being monopolized
by investment companies with strong capital,
promote the sharing of artificial intelligence patent
achievements among individuals, and contribute to
the balance of social public interests (Yang, 2023).
Wang Zhengzhong believes that users will provide
certain data samples, material and financial resources,
as well as technical support to the program during the
invention and creation process of artificial
intelligence. At the same time, the direct use of
artificial intelligence inventions and creations by
users can better face the market, reduce many
intermediate links, save a large amount of time,
manpower, and technical costs, and better apply and
promote them in the market, thus promoting the
prosperous development of the economic society. It
can also more efficiently combine with traditional
enterprises, promote the digital transformation and
upgrading of traditional enterprises, and thus generate
more applicable technical achievements (Wang,
2019). Liu Youhua and Li Yangfan believe that if
there is an agreement on the ownership of the patent
rights of the generated products of artificial
intelligence in advance, it shall be subject to the
agreement. If there is no agreement, it shall be
analyzed according to the theory of creative
contribution. The operation of artificial intelligence is
carried out under the user's instructions and makes a
contribution to the output of the generated products.
Therefore, the patent rights of the generated products
should belong to the users of artificial intelligence
(Liu, Li, 2023).
The author believes that as the operator of
artificial intelligence, the user has his own concepts
and assumptions about the outstanding features and
functions of the generated product. In fact, the user
regards artificial intelligence as a production tool and
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objectively expresses his own innovative ideas
through certain means. Secondly, the instruction
information input into artificial intelligence is
basically screened, integrated, optimized, and
modified by the user. Without a large amount of
materials provided by the user, artificial intelligence
will not be able to generate a technical solution with
novelty and integrity. It can be seen that the generated
product is essentially the intellectual achievement of
the user and makes a substantial contribution to the
output of the generated product, and thus belongs to
the inventor in the Patent Law. Therefore, it is a
reasonable choice to grant the patent rights of the
generated product to the user in the case of a non-
service invention.
Article 1 of China's Patent Law stipulates: This
Law is formulated in order to protect the legitimate
rights and interests of patent right holders, encourage
invention and creation, promote the application of
invention and creation, enhance the ability of
innovation, and boost the progress of science and
technology as well as the development of the
economic society (The Standing Committee of the
National People's Congress, 2020). It can be seen that
one of the purposes of China's patent system is to
enhance the ability of scientific and technological
innovation and stimulate the output of inventions and
creations. However, the manufacturing and training
of generative artificial intelligence often require high
capital costs, which are generally borne by investors
(also known as owners). Therefore, it is somewhat
reasonable to confer patent rights on investors as a
form of return. At the same time, it is conducive to
encouraging more investors to invest in the scientific
and technological innovation industry, continuously
promoting the generation of more products of
invention, and filling the society with creative
vitality.
Among them, Chen Quanzhen and Xu Difeng
believe that when artificial intelligence inventions
meet the patentability requirements, a system for the
ownership of patent rights for artificial intelligence
inventions can be established, with artificial
intelligence investors (generally owners) as the patent
right holders, supplemented by the principle of
autonomy of will (Chen, Xu, 2022). Zhu Xuezhong
and Zhang Guangwei hold that investors in artificial
intelligence should be the default patent right holders,
which can better promote and stimulate innovation.
Because usually, the owners of artificial intelligence
will invest a large amount of resources and costs in
developing and promoting core technologies, playing
a major and constructive role. Granting patent rights
to the owners is in line with the principle of fairness
in the patent system (Zhu, Zhang, 2018).
The author believes that the purpose of China's
Patent Law is to protect the intellectual achievements
of inventors and encourage natural persons and
organizations with the intention of invention and
creation to actively innovate and produce more
scientific and technological achievements. People
who use investment as a means to obtain economic
returns obviously run counter to China's patent
system. Moreover, once investors with a large amount
of capital possess a large number of patent rights,
there is a high possibility of causing a technology
monopoly, which will then enable them to control the
industrial market, exclude the orderly and free
competition in the market, and is not conducive to
inspiring the public to carry out innovation.
3.2 Current Situation of Overseas
Research on the Ownership of
Patent Rights
3.2.1 Current Situation of Overseas
Legislation
Some countries have made relevant legal provisions
regarding inventions generated by artificial
intelligence (AI). Japan takes a negative attitude
towards AI as the subject of patent rights. Its Patent
Law stipulates that only "natural persons who have
actually made the invention" can become inventors
and patent applicants.
The UK Intellectual Property Office has pointed
out that the current patent legal framework faces
institutional challenges in dealing with AI-generated
inventions. According to the policy statement issued
by this institution, the existing patent system is still
unable to properly regulate the situation where AI
acts as the subject of invention. The reason is that the
existing laws clearly stipulate that patent applicants
must be natural persons or legal entities. Although it
is possible to adapt to technological development
through special legislation or the revision of
examination standards in the future, currently, there
are still legal vacuums in the intellectual property
system regarding key issues such as determining the
creative contributions, rights ownership, and ethical
boundaries of inventions independently generated by
AI.
In addition, in the current patent laws and
regulations of the United States, a large number of
words such as "individual" and "person" are used to
describe inventors. The Manual of Patent Examining
Procedure (MPEP) in the United States also stipulates
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371
that inventors must have ideas about the invention,
that is, "a complete manifestation of the spiritual part
of the inventive act", and words such as "conscious"
are used to clearly state that inventors can only be
natural persons (An, Pa, 2020). In judicial precedents,
U.S. courts also do not recognize the status of AI as
an inventor, and instead, they more often grant patent
rights to investors and inventors (Wang, Xu, 2021).
Moreover, according to the provisions of the
Australian Patent Law, it can be inferred that its
attitude towards inventions generated by AI is similar
to that of the United States, that is, it does not
recognize the legal status of AI as a patent right holder
(Wei, Peng, Mao, 2022).
It can be seen that although the patent law systems
of many foreign countries do not explicitly specify
the subject to which inventions generated by AI are
granted, it can be inferred from the language
expressions that foreign countries do not recognize
the subject qualification of AI in patent law, which is
basically the common understanding in the laws of
most countries.
3.2.2 Current Situation of Overseas Judicial
Practice
In 2018, Dr. Thaler launched a landmark legal
practice globally (Liu, Ren, 2022). He filed patent
applications in more than a dozen jurisdictions,
including the United States Patent and Trademark
Office (USPTO) and the European Patent Office
(EPO). The core demand of his application was to list
the DABUS system as a patent inventor. The DABUS
system is an autonomous cognitive system formed by
simulating the neural network structure of the human
brain and training with massive amounts of data. It is
capable of independently completing the entire
invention and creation process, from
conceptualization to the formation of technical
solutions.
This claim has triggered major discussions in the
field of intellectual property. Different countries have
made different arrangements regarding the
application requests. Except for South Africa,
institutions such as the USPTO, the UK Intellectual
Property Office, the UK High Court, the EPO, the
German Patent Office, and the Korean Intellectual
Property Office have successively rejected the patent
application of DABUS based on the principle that
"the inventor should be a natural person", clearly
ruling that artificial intelligence does not have the
qualification to be an inventor (Yang, 2023).
This series of decisions indicates that under the
existing judicial frameworks of most countries and
regions, artificial intelligence is still unable to obtain
the same status as a natural person as the subject of
patent invention, even if the technical invention is
completely created relying on the powerful
algorithmic capabilities of artificial intelligence.
3.2.3 Current Situation of Overseas
Theoretical Research
When faced with the practical dilemma of the
ownership of rights brought about by the rapid
development of artificial intelligence, foreign
scholars have mainly proposed the "designer theory",
the "investor theory", and the "owner theory".
The designer theory holds that before the artificial
intelligence system is completely created, it requires
a large amount of algorithm setting, program
modification, and massive data input. These
technically difficult preparatory works need to be
completed independently by the designers. Designers
have made outstanding and substantial contributions
to the creation of the complex artificial intelligence
system (Darin, 2001). Moreover, granting designers
the patent rights for the generated inventions is
conducive to motivating the design subjects to
continue innovating and promoting the development
of science and technology. Otherwise, designers may
keep the artificial intelligence system confidential in
the form of trade secrets and not make it public.
Obviously, this approach is not conducive to the
continuous development of the industrial science and
technology (Pamela, 1986).
The author believes that the contribution of
designers only lies in the development of the artificial
intelligence computing system itself. Their
contribution cannot be extended to the generated
technical solutions, as designers do not invest specific
efforts and costs in the creation of technical solutions.
Secondly, designers can obtain legal protection by
applying for the patent rights of the artificial
intelligence system, safeguarding their patent
achievements, and thus promoting the development
of the science and technology industry.
Scholars who hold the owner theory, from the
perspective of the proportion of input costs, believe
that the owners have invested the most costs in the
activity of creating artificial intelligence systems, and
they should be compensated for their invested costs
through certain forms of returns. Mengyu Wa
believes that the creation of artificial intelligence has
provided a large amount of resource costs, such as
funds, technology, and talents, etc. It has made
contributions to a certain extent to the creation of
artificial intelligence and has a powerful promoting
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effect on the development of the artificial intelligence
industry. Granting the patent rights to the owners can
boost the development of the artificial intelligence
technology industry (Wang, 2019).
However, the author believes that owners
generally possess a large amount of capital strength.
If the ownership of patent rights is granted to the
owners, it is very likely to cause a monopoly of patent
technologies, resulting in the inability of patent
achievements to be shared by society, thus hindering
the progress of scientific and technological
innovation.
The user theory holds that in the current social
context, artificial intelligence is still an ordinary
production tool. Essentially, when users use artificial
intelligence to generate inventions, they are creating
inventions by taking advantage of the conditions of
existing production tool technologies (Evan, 1989).
Moreover, inventions and creations made by artificial
intelligence can be regarded as the external creative
behaviors of the users' expressions of intent, which
have made important contributions to the output of
inventions.
The author believes that it is reasonable to regard
generative artificial intelligence as a production tool.
In the era of weak artificial intelligence, although
generative artificial intelligence has made great
breakthroughs in technologies such as algorithmic
computing, it still needs to be improved in some
aspects. It cannot completely generate relatively
mature technical solutions independently without
human intervention. It still requires humans to input
certain precise information to complete the
generation of technical solutions.
4 CONCLUSION
Currently, the academic community's focus on the
issue of the ownership of patent rights for artificial
intelligence-generated products mainly lies in
stimulating innovation and balancing the
relationships among various relevant stakeholders, so
as to determine the corresponding pattern of interest
distribution. However, the fundamental original
intention of promoting the in-depth development of
artificial intelligence is to benefit all mankind,
enabling people around the world to share the
development dividends brought about by artificial
intelligence, fully meeting the needs of social public
interests, and helping humanity create a better life.
Looking ahead, relevant research could take
satisfying public interests as the core objective,
starting from the standpoint of enhancing the well-
being of all mankind, and continuously and deeply
improve the issue of the ownership of rights for
artificial intelligence-generated products. This would
encourage more subjects to participate in sharing the
remarkable achievements created by artificial
intelligence.
REFERENCES
An, W. S, Pan, D. 2020. Analysis of the Inventor
Qualification of AI Patents from the Perspective of US
Patent Law. China Invention & Patent 17(10), 110–113.
Chen, Q. Z., Xu, D. F. 2022. On the Patentability and
Ownership of Inventions Generated by Artificial
Intelligence. Science & Technology Progress and
Policy 39(9), 114–115.
China Internet Network Information Center (CNNIC):
Report on the Development of Generative Artificial
Intelligence Applications. 2024.
https://www.100ec.cn/detail--6645013.html, last
accessed 2025/03/02.
Deuze, M., Beckett, C. 2022. Imagination, Algorithms and
News: Developing AI Literacy for Journalism. Digital
Journalism 10, 1913–1918.
Farr, E.H. 1989. Copyrightability of Computer-Created
Works. Rutgers Computer Technology Law Journal 1,
63–80.
Gibney, E. 2025. China's cheap, open AI model DeepSeek
thrills scientists. Nature.
Gil de Zúñiga, H., Goyanes, M., Durotoye, T. 2024. A
Scholarly Definition of Artificial Intelligence (AI):
Advancing AI as a Conceptual Framework in
Communication Research. Political Communication 2,
317–334.
Glasser, D. 2001. Copyright in Computer-generated Works:
Whom, If Anyone, Do We Reward. Duke Law and
Technology Review.
Liu, Y. H., Ren, Y. F. 2023. Exploration of the Patent Law
Protection of Technical Solutions Generated by
ChatGPT. Intellectual Property 7, 88–89.
Liu, Y. H., Ren, Z. L. 2022. A Re-exploration of the
Eligibility for the Invention of Artificial Intelligence—
Also on the Impact of the DABUS Case. Journal of
Wuling 2, 1.
Liu, Y. H., Wei, Y. S. 2019. The Patentability and
Ownership of Technical Solutions Generated by
Artificial Intelligence. Journal of Xiangtan University
(Philosophy and Social Sciences Edition) 43(4), 87.
Samuelson, P. 1986. Allocating Ownership Rights in
Computer-generated Works. University of Pittsburgh
Law Review 4, 1185–1228.
The Standing Committee of the National People's
Congress. 2020. Article 6 of the Patent Law of the
People's Republic of China.
https://www.cnipa.gov.cn/art/2020/11/23/art_97_1551
67.html, last accessed 2025/03/04.
The State Council of the People's Republic of China. 2023.
Article 13 of the Implementing Regulations of the
The Ownership of Invention Patent Rights for Generative Artificial Intelligence
373
Patent Law of the People's Republic of China.
https://www.cnipa.gov.cn/art/2023/12/21/art_98_1891
97.html, last accessed 2025/03/04.
Wan, M. Y. 2019. The Challenge and Research of Artificial
Intelligence to the Legal Problems of Intellectual
Property. Advances in Social Science, Education and
Humanities Research 329, 1484–1488.
Wang, H. Y., Hongyan, Xu, T. R. 2021. An Analysis of the
Challenges and Response Systems of Artificial
Intelligence to Intellectual Property Protection in China
and the United States. In: Collected Papers of Shanghai
Law Research (Volume 7 in 2021, Total Volume 55)—
Collected Papers on Lawyer Law Research, pp. 30–38.
Wang, Z. Z. 2019. On the Ownership of the Rights of
Inventions and Creations Generated by Artificial
Intelligence—Based on Promoting the Application of
Inventions and Creations. Electronic Intellectual
Property Daily 2, 27–29.
Wei, L. L. Peng, F. R., Mao, T. 2022. Discussion on the
Arrangement of the Ownership of Patent Rights for
Contents Generated by Artificial Intelligence—From
the Perspective of the DABUS Case. Patent Agency 3,
43–48.
Yang, L. H. 2023. The Patentability of Technical Solutions
Generated by Artificial Intelligence and Its Institutional
Response. Peking University Law Journal 2, 356–357.
Zhu, X. X., Zhang, G. W. 2018. Research on the
Patentability and Ownership of Technical
Achievements Generated by Artificial Intelligence.
Journal of Intelligence 37(2), 74.
ICPLSS 2025 - International Conference on Politics, Law, and Social Science
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