GENERATIVE ARTIFICIAL INTELLIGENCE AND INTELLECTUAL PROPERTY RIGHTS: NAVIGATING THE NEW LANDSCAPE BY - POOJA KATEEL
GENERATIVE ARTIFICIAL INTELLIGENCE AND
INTELLECTUAL PROPERTY RIGHTS: NAVIGATING THE NEW LANDSCAPE
AUTHORED BY - POOJA
KATEEL
In this age of rapid
technological advancement, the advent of generative Artificial Intelligence (AI)[1]
has transformed several industries, most notably the creative sector. AI has
advanced significantly, particularly in the domain of generative AI. Generative
AI models, like StyleGAN and GPT-3, have proven to be remarkably adept at
producing unique and lifelike material in a variety of media, including text,
photos, music, and more. These models have the power to dramatically change a
number of industries, including marketing, the creative arts, and
entertainment. They do this by automating content creation processes and
opening up new forms of expression. AI is expected to become a seamless part of
daily life in the near future.
New technologies and Intellectual
Property have always coexisted peacefully, and as a result, policies pertaining
to Intellectual Property have had to evolve to keep up with both. AI technology
has the ability to tip up the Intellectual Property system by posing
fundamental queries about authorship, ownership, and infringement, amonga lot
of other things.
Determining copyright ownership, for
example, becomes difficult when an algorithm produces a work that mimics an
already-existing piece. In these situations, is the AI system or the human
creator the primary author? Other problems about whether generative AI works
should be examined to the same criteria of originality as human-generated works,
arise when defining the originality and novelty of AI-generated works and how
this can affect the requirements for patentability and copyright protection.
When AI models produce content that
bears a strong resemblance to human creations, concerns about ownership,
protection, and use of the generated works surface. Concerns over the limits of
fair use and the application of conventional intellectual property rules in the
context of AI are also raised by the use of currently copyrighted works in
training data and the possibility of its infringement[2].
Investigating intellectual property
rights in generative AI is important because it is an important aspect
increating a transparent legal and moral framework that encourages creativity
while upholding the rights of artists. Stakeholders must work toward creating
strong legal frameworks, moral standards, and industry standards that strike a
balance between promoting AI advancements and protecting the rights of content
creators and Intellectual Property holders by being aware of the issues and
concerns surrounding Intellectual Property in generative AI.
This research intends to contribute
to the creation of a thorough and fair framework that, in the context of
generative AI, promotes responsible innovation, encourages creativity, and
protects intellectual property rights by bringing these issues to light.
THE INTERPLAY BETWEEN THE
CONCEPTS OF GNERATIVE AI AND INTELLECTUAL PROPERTY RIGHTS
What is Generative AI?
Generative AI is a subset of AI and
machine learning that involves teaching a computer programme complex techniques
to create original works of art, music, and literature. Generative AI is the
output of deep learning methods that enable it to recognise increasingly
difficult patterns, make decisions, and accomplish more sophisticated or
infinite jobs without human intervention or direct involvement[3]. These
models have got a lot of attention because of their ability to generate
human-like content and have applications in a variety of fields, including
creative industries, content generation, and research[4].
Within the context of generative AI,
various forms of intellectual property rights become relevant. Some of them are
listed below:
i.
Copyright:
Original creative works, such as literary, artistic, musical, and theatrical
pieces, are protected by copyright laws. It protects the content generated by
the author or creator, by giving the creator exclusive rights for a set amount
of time, such as stories, poetry, artwork, or music.
ii.
Patents: New
techniques, methods, or processes employed in generative AI models are all
protected by patents. Patents give the owner of the invention exclusive rights,
prohibiting others from making, selling, or distributing the innovation without
the owner’s consent, for a set amount of time.
iii.
Trademarks:
Trademarks protect distinguishing marks—like logos, brand names, or
symbols—that are connected to particular goods or services. Trademarks may be
relevant in generative AI when the models produce content that features or
mimics registered brands without permission.
iv.
Trade Secrets:
Trade secrets are important and proprietary business knowledge that gives an
edge over competitors. Trade secrets in the context of generative AI can be
exclusive model architectures, exclusive algorithms, or private training data.
Importance of Intellectual Property Protection in
Generative AI
In the field of generative AI, Intellectual
property protection is essential for a number of reasons, which provide insight
that should be taken into account while putting any framework in place to
govern AI and IP-related issues. Some of the reasons for Intellectual property
protection are:
i.
Encouraging
Innovation: AI developers and organisations are encouraged to devote resources
and effort to developing and refining generative AI models by use of
intellectual property rights. Ensuring that authors can profit from their works
fosters creativity and leads to the development of cutting-edge AI
technologies. This is made possible by robust Intellectual Property protection.
ii.
Rights
and Rewards for Creators: Exclusive rights over their produced content are
granted under Intellectual Property protection, giving creators the ability to
manage and profit from their creations. It guarantees that content creators get
credit and financial compensation for their work and permits them to licence,
sell, or distribute their work.[5]
iii.
Preventing
Unauthorized Use: Intellectual Property Protection makes AI-generated content
less likely to be used, copied, or distributed without authorization. It
safeguards the financial interests and rights of creators by enabling them to
sue for infringement and enforce their rights.
iv.
Balancing
Interests: The public, content creators, and AI developers can all have their
interests fairly balanced with the aid of intellectual property laws. Intellectual
Property protection promotes innovation and creativity, as well as the
availability of public domain works and fair use of already-existing content,
by granting exclusive rights for a set amount of time.
v.
Economic
Value and Market Development: Strong intellectual property protection in
generative AI promotes the expansion of businesses and sectors centred on AI-generated
content. It promotes the establishment of new business prospects and income
streams by fostering the development of licencing and commercialization models.
Overall, Intellectual Property protection
is essential for encouraging market growth, safeguarding creators' rights,
encouraging innovation, and maintaining a just and balanced ecosystem for
generative AI.
AUTHENTICITY CHALLENGE TO INTELLECTUAL PROPERTY GENERATED BY AI:
v Copyright Act, 1957- India
Section 2 (d) (vi)[6] of
the statute defines author as, "in relation to any literary, dramatic,
musical or artistic work that is computer-generated, the person who causes the
work to be created".
v Patents Act, 1970- India
The Act's exclusion of Al
systems from its scope of application has limited the rights of
"persons" under this statute. As is evident from Sections 2 (1) (p),
2 (1) (t)[7],
where the term patentee refers to a person, and Section 6 (1) (a), which
specifies that "any person" may file a patent application, as well as
from Section 2 (1) (ja)[8],
which defines "inventive step," which is a necessary condition for an
invention to be patentable, meaning that it cannot be "obvious to a person
skilled in the art."
v The United Kingdom's Copyright, Designs and Patents
Act[9],
1988 (CDPA)
Under this legislation,
Section 9 (3)[10],
states, "In the case of a literary, dramatic, musical or artistic work
which is computer-generated, the author shall be taken to be the person by whom
the arrangements necessary for the creation of the work are undertaken."
Section 178 of the CDPA,
has defined computer-generated work, as "generated by computer in
circumstances such that there is no human
author of the work".
v Irish Copyright and Related Rights Act, 2000
Section
21[11] defines
'author' as, the person who creates a work and includes: (f) in the case of a
work that is computer-generated, the person by whom the arrangements necessary
for the creation of the work are undertaken;".
'computer-generated'
is defined under Section 2 (1)[12]
as, "in relation to a work, means that the work is generated by a computer
in circumstances where the author of the work is
not an individual".
Intellectual property laws in
different jurisdictions only grant rights to an individual. Nonetheless,
granting rights to a work that the AI system independently generated with
little or no human involvement remains difficult in the absence of legislative
or court support.
PATENTABILITY OF INVENTIONS BY AI:
To receive
a patent, a number of requirements have been outlined under the TRIPS agreement
and other national legislation. These requirements[13]
include the following:
a) The Subject
Matter of the invention must be patentable.
b) The
invention must be new/novel.
c) The
invention should have a certain application in the industry.
d) Innovative
or Inventive Steps must be taken in order to make the invention.
The idea that only one individual may have
any kind of patent in the nation is widely acknowledged and is supported by a
number of laws, reports, rulings from the Hon'ble Supreme Court of India, and
rulings from other authorities.
As a result, AI and related tools
cannot be granted the status of a juristic or artificial person. This opinion
was supported by the historic ruling of the Hon'ble Supreme Court in Som
Prakash Lekhi V. Union of India[14],
which held that AI cannot be regarded as a juristic person and that the law
cannot ascribe duties to it because it does not meet a number of necessary
requirements, including the ability to sue or be sued. As a result, no
AI-generated content is eligible for patent protection.
A human
being must play a vital role in the patent application process. Consequently,
if AI-generated content or invention is to be granted a patent, a human being
must be involved in the process and be eligible to receive the patent.
COPYRIGHT PROTECTION OF INVENTIONS BY
ARTIFICIAL INTELLIGENCE
Since the
emergence of AI platforms that create content in the technology sector, one of
the main challenges in providing protection for AI-generated material is
navigating the boundaries of Copyright laws.
Regarding
the legal standing and protection afforded to content created by AI, Indian
courts have snot said much. Since the artificially generated content could be
created by infringing upon an already copyrighted work, there are a number of challenges
to overcome before granting any ownership or authorship rights to it[15].
In particular, granting protection to artificially generated content would
violate the copyrights of the parties who already hold authorship rights over
the content.
Second, AI
lacks the locus standi to sue anyone and cannot be sued in its own name because
it is a non-juristic person. Therefore, the legislature would need to make a
decision regarding artificial intelligence's legal position before it could
decide whether to grant copyright to content created by AI[16].
Finally,
because AI exists forever, the 60-year rule that governs the copyrights of
artistic or literary works and grants protection only for 60 years after the
death of the author will not apply to it, negating the whole point of extending
copyright protections.
PREVENTING UNLAWFUL USE: INTELLECTUAL PROPERTY IN THE AI REGIME
With the development of generative AI
, it is more crucial than ever to stop unauthorised use of intellectual
property. The following actions and approaches could deal with this issue under
the AI regime:
1. Copyright Protection: The fundamental
Intellectual Property protection tool known as copyright gives authors of
original works the exclusive right to their creations. In order to respect and
abide by copyright laws, AI developers and users must secure the necessary
licences and permits for any copyrighted content utilised in training data or
created outputs. This aids in preventing the unlawful use and infringement of
works protected by copyright.
2. Licensing and Permissions: The
licencing restrictions should be taken into consideration by AI developers when
employing copyrighted items as training data. In order to ensure compliance
with Intellectual Property laws, prevent unauthorised use, and enable the
lawful use of copyrighted content, permissions and licences must be obtained
from the relevant rights holders.
3. Watermarking and Attribution: AI generated content can have its source and
creator identified by adding measures like digital watermarks or metadata. This
prevents unapproved usage and offers a way to provide credit correctly,
safeguarding the rights of the authors and facilitating traceability.
4. Monitoring and Detection: Finding
instances of infringement can be aided by the development of technology and
methods for monitoring and detecting unapproved usage of AI-generated content.
These monitoring systems have the ability to search social media, online
platforms, and other sources for unauthorised uses. Based on the information
found, appropriate legal action can be taken.
5. Education and Awareness: Unintentional
infringements can be avoided by raising understanding of intellectual property
rights, copyright laws, and the value of respecting Intellectual Property among
AI developers, users, and the general public. This involves sharing knowledge
regarding fair use, licencing, and the optimal ways to use copyrighted material
in the AI system.
6. Ethical Guidelines and Policies: A
framework for responsible AI development and application can be established by
implementing and upholding ethical standards and policies that place a high
priority on respect for intellectual property rights. These rules may cover
matters like intellectual property protection, giving due credit, and adhering
to copyright regulations[17].
7. Collaboration with Rights Holders: Developing
cooperative connections with content producers, rights holders, and groups that
advocate for their interests can promote understanding among parties and make
collaborations or licencing arrangements easier. Open communication and
negotiation can guarantee that copyrighted material is used fairly and with
authorization in AI applications.
8. Legal Enforcement: It is crucial to
use legal action to enforce intellectual property rights when there has been
obvious infringement or unauthorised use. Owners of intellectual property have
the right to file a lawsuit to defend their rights and get compensation for
harm caused by unlawful usage. Working together with Intellectual Property and
AI-focused legal professionals can assist in navigating the legal intricacies
and guaranteeing proper enforcement.
In the AI regime, preventing
unauthorised use of intellectual property necessitates a multifaceted strategy
that includes ethical considerations, legal measures, public awareness efforts,
and stakeholder participation. The AI community can support an innovative
atmosphere while preserving the rights of artists and rights holders by
observing intellectual property rights, securing the necessary authorizations,
and encouraging ethical behaviour.
CURRENT LEGAL STRUCTURE AND LACUNA IN THE INDIAN LEGAL FRAMEWORK
The legal environment in India
pertaining to Intellectual Property and generative AI is still developing, and
there are still some issues that need to be resolved. While intellectual
property rights are fairly protected by the current legal system, which
includes the Copyright Act of 1957, Trademark Act, 1999 and the Patent Act,
1970, there are currently no laws that specifically cover generative AI. This
makes it difficu lt to determine the
legal standing of works produced by AI as well as the obligations of AI users
and developers.
CHALLENGES IN THE CURRENT LEGAL
FRAMEWORK OF INDIA:
1. Authorship and Ownership: The question of authorship and
ownership of works generated by AI is not specifically addressed by the
Copyright Act 1957. This begs the question of who should be regarded as the
content's author and owner—the AI system or the human developer. To ascertain
each party's obligations and rights, clarity is required.
2. Fair Use and Transformative Works: Under Indian law, the terms
"fair use" and "transformative works" are not clearly
defined in the context of generative AI. Determining the limits of acceptable
usage for AI-generated content is difficult due to the absence of defined
criteria, especially when it comes to using previously published copyrighted
works as training data.
3. Data Protection and Privacy: Comprehensive law addressing data
protection and privacy concerns directly related to AI is still needed, even if
the Digital Personal Data Protection Act, 2023 has received a nod from the
Parliament. To guarantee that the gathering, storing, and use of data in
generative AI models abide with privacy laws, specific standards must be
followed.
4. India may need to explore specific adjustments
to current laws or adopt new legislation that clarifies and protects
intellectual property rights in the context of generative AI in order to close
these gaps.
GLOBAL METHODS AND OPTIMAL STRATEGIES
Legal frameworks and best practises
for addressing intellectual property challenges in generative AI have been
investigated by international jusrisdictions. Some of the noteworthy methods
are:
1.
Updating
copyright laws: Many nations have updated their copyright legislation in
response to the difficulties presented by artificial intelligence. For instance,
the Copyright Directive of the European Union covers topics like ownership and
liability and has rules for content created by AI.
2.
Fair
Use Guidelines: States such as the United States have created fair use
regulations that can be modified to accommodate new technologies, such as AI.
These standards offer flexibility in terms of figuring out what uses of
copyrighted material in AI-generated content are acceptable.
3.
Industry
Standards and Best Practices: AI best practises and ethical guidelines are being
developed by industry associations and international organisations. Initiatives
like the Partnership on AI and the Montreal Declaration for Responsible AI
highlight how crucial it is for AI development and application to be
transparent, accountable, and to protect intellectual property rights.
India could use these global
approaches and best practises as a guide to develop its own laws and moral
standards for generative AI.
ETHICAL FACTORS FOR GENERATIVE AI
DEVELOPERS AND USERS
Ethical considerations are crucial in
the development and use of generative AI. Some key ethical considerations
include:
i.
Transparency
and Disclosure: When using AI, developers should be open about it and make it
obvious when material is produced by these systems. It is important for users
to understand that the material they are dealing with is generated by AI, not
by humans.
ii.
Accountability
and Liability: To establish who is responsible for information created by AI,
certain criteria are required. Developers should be held accountable for any
ethical or legal transgressions as well as the results of their AI systems.
iii.
Responsible
Data Usage: Developers need to make sure privacy laws are followed and acquire
the right consent before collecting data. User data must be handled carefully,
secured, and without bias to prevent discriminatory results.
iv.
Respect
for Intellectual Property: By securing the appropriate licences for copyrighted
works used as training data and preventing trademark or patent infringement,
developers and users may respect intellectual property rights.
v.
Ethical
Review and Oversight: In order to guarantee adherence to ethical principles and
encourage responsible practises, systems for ethical assessment and oversight
of generative AI development and deployment should be established. Stakeholders
may encourage ethical AI innovation while defending intellectual property
rights and addressing societal issues by incorporating these ethical
considerations into the creation and application of generative AI.
KEY TAKEAWAYS FROM REAL-WORLD SITUATIONS
Intellectual property rights and
generative AI in real-world contexts offer important insights into the issues
and concerns at hand. Among the lessons discovered are:
1. Authorship and Ownership: It is
difficult to identify the creator and owner of works produced by AI. To address
the rights and duties of AI creators, users, and the AI systems themselves,
explicit regulations or legal restrictions are required.
2. Licensing and Collaboration: Establishing
licencing frameworks and guaranteeing equitable recompense for AI-generated
content require cooperation between AI developers, content creators, and rights
holders. Standardised licencing models can assist expedite the procedure and
enable the morally and legally acceptable use of works created by AI.
3. Ethical Boundaries and Responsible AI
Usage: To ensure that no damaging or deceptive information is created and
shared, ethical boundaries must be established before generative AI may be used
responsibly. The moral implications of AI-generated outputs ought to be given
top priority by developers and users alike.
RECOMMENDATIONS AND CONCLUSION
Looking ahead, several
recommendations can be considered to resolve the challenges in relation to
intellectual property rights in generative AI:
·
Using
Regulation and Policy to Address the Issues: Proactively addressing the legal
ambiguities and gaps around generative AI is a responsibility of governments
and regulatory agencies. It will be essential to create certain rules or
regulations that recognise the distinctive qualities of AI-generated work and
offer clarification on authorship, ownership, and culpability.
·
Striking
the righ balance between Innovation and Intellectual Property Rights: Finding a
balance between fostering innovation and protecting intellectual property
rights is essential. Fair and equitable frameworks for the use and protection
of AI-generated material can be established with the assistance of
collaboration and communication amongst AI developers, content creators, and
rights holders.
·
Encouraging
Conscientious AI Development and Application: Developing moral standards and
generative AI tenets is necessary to further responsible AI development. To
ensure responsible and ethical AI usage, it will be essential to educate AI
developers, users, and the general public on the ethical implications and
potential risks involved with AI-generated content.
Complex issues and considerations
surround Intellectual Property rights in the field of generative AI. Concerns
like authorship, ownership, licencing, and responsible AI use require the
development of clear legal frameworks, moral standards, and cooperative efforts
between parties. It is possible for society to fully utilise the promise of
generative AI while upholding an ecosystem that is just and balanced for
producers, consumers, and the general public by encouraging innovation and
safeguarding Intellectual property rights.