Open Access Research Article
THE INTERSECTION OF ARTIFICIAL INTELLIGENCE, INTELLECTUAL PROPERTY RIGHTS, AND HUMAN RIGHTS: CHALLENGES AND FRAMEWORKS
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Article Details
THE INTERSECTION OF ARTIFICIAL INTELLIGENCE,
INTELLECTUAL PROPERTY RIGHTS, AND HUMAN RIGHTS: CHALLENGES AND FRAMEWORKS
AUTHORED BY - UBITHA P.K
Advocate, B. Com(Hons.) L.L.B, L.L.M
Cochin University of Science and Technology
Abstract
This article explores the transformative impact
of Artificial Intelligence (AI) on the creative process, particularly in
content creation, design, and the generation of music and art. As AI evolves,
questions arise about the originality of AI-generated works and the attribution
of credit to human creators, necessitating a nuanced examination of the
relationship between AI and human creativity. The global nature of AI
technologies requires collaboration and the establishment of standards,
emphasizing transparency, accountability, and fairness in their application.
The article reviews comprehensive recommendations by the Council of Europe in
2019 and the European Commission's initiatives, highlighting the intersection
of AI development with human rights[1].
Concerns persist regarding privacy, freedom of
expression, and access to information, especially in content moderation
algorithms and AI-based decision-making processes. The article underscores the
need for a comprehensive understanding of the legal and ethical dimensions,
emphasizing responsible AI practices that protect intellectual property and
uphold fundamental human rights. By critically examining international
recommendations, the aim is to strike a balance between technological
innovation and the preservation of a just and equitable society.
Human rights, Freedom of Expression, Universal
Declaration of Human Rights,
Introduction
The rapid progress of Artificial Intelligence
(AI) has ushered in transformative possibilities across various facets of our
lives, bringing both promises and challenges in the realms of ethics and law.
Notably, in the creative process, algorithms and machine learning systems have
become influential tools for artists, writers, musicians, and other creative
professionals, reshaping conventional notions of creativity and authorship. However,
the evolution of AI introduces complex questions about the originality of
AI-generated works, ownership rights, and the attribution of credit to human
creators. Safeguarding intellectual property rights in this dynamic landscape
is imperative, necessitating a nuanced exploration of the evolving relationship
between AI and human creativity. This article aims to delve into the challenges
posed by AI in the context of intellectual property and human rights. Given the
global nature of AI technologies, international law plays a crucial role in
establishing a framework that transcends national boundaries. Collaborative
efforts and the establishment of global standards become evident, emphasizing
principles such as transparency, accountability, and fairness to ensure the
responsible use of AI for the greater good of society.
In 2019, recognizing the importance of aligning
AI development with human rights principles, the Council of Europe issued
comprehensive recommendations. These recommendations covered crucial aspects
such as information transparency, data protection, freedom of expression,
freedom of assembly and association, right to work, and the promotion of AI
literacy. Simultaneously, the European Commission took steps to foster
trustworthy AI through the establishment of the High-Level Expert Group on
Artificial Intelligence, developing Ethics Guidelines to guide responsible AI
practices across diverse sectors. Building on these initiatives, the European
Commission further outlined its approach to achieving excellence and trust in
AI in 2020[2].
However, the intersection of AI development with human rights remains a focal
point of concern. The deployment of AI systems has the potential to impact
fundamental rights, raising questions about privacy, freedom of expression, and
access to information. This article also scrutinizes the challenges arising
from the use of AI algorithms in content moderation, where inadvertent
restrictions on freedom of expression may occur through the censorship of
certain types of speech. Additionally, the deployment of AI in surveillance and
decision-making processes raises ethical concerns related to privacy and the
potential for discrimination. Challenges arise from the use of AI algorithms in
content moderation, where inadvertent restrictions on freedom of expression may
occur through the censorship of certain types of speech. Additionally, the
deployment of AI in surveillance and decision-making processes raises ethical
concerns related to privacy and the potential for discrimination[3].
In this intricate landscape where AI,
intellectual property, and human rights converge, a comprehensive understanding
of the legal and ethical dimensions is essential. Critical examination of
recommendations and initiatives put forth by international organizations and
regulatory bodies is necessary to contribute to the development of responsible
AI practices that prioritize ethical considerations, protect intellectual
property, and uphold fundamental human rights. The aim is to strike a balance
between technological innovation and the preservation of principles that
underpin a just and equitable society. The integration of artificial
intelligence (AI) systems into the creative process introduces a host of
complex challenges that reverberate within the legal frameworks of Copyright,
Trademark, and Patent law. These challenges are particularly pronounced in the
realms of justice, trustworthiness, and authorship, where traditional legal
concepts are being tested and reshaped by the involvement of AI.
Shifting Dynamics: AI's Impact on Copyright Law
and Creative Ownership
In the field of Copyright Law, the traditional
assignment of authorship to human creators is undergoing a significant
transformation due to the introduction of AI. Determining the primary author
becomes intricate as AI systems play a substantial role in the creative
process, prompting a reevaluation of creative ownership that transcends human
origin. Addressing these complexities requires a thorough reconsideration of
existing legal frameworks and the potential development of new laws tailored to
accommodate the unique nature of AI-generated creative works. This
comprehensive process must consider ethical implications, discern the
intentions of human users, and foster innovation while upholding a fair and
just legal landscape.
A recent article in the International Review of
Intellectual Property and Competition Law suggests that current copyright
regulations within the European Union can generally adapt to the challenges
posed by AI-assisted creative output. The article introduces a four-step
evaluation process for determining the originality of AI-assisted output under
EU law, presenting a potential framework for navigating these complexities.
Despite advancements, uncertainties persist, particularly regarding copyright
infringement, ownership of AI-generated works, and the inclusion of unlicensed
content in training data. In response, the European Parliament advocates for
the protection of technical creations generated by AI within the intellectual
property rights (IPR) legal framework. This recommendation aims to encourage
investment in AI-driven creation and enhance legal certainty for citizens,
businesses, and inventors. Challenges arise in recognizing AI as the creator,
especially when the subject matter of a creative work reflects the personality
of the author. This becomes particularly relevant when humans with ICT implants
produce original creative works, making their output indistinguishable from
content generated by humans without such enhancements. It is crucial to acknowledge
the significant gap in intellectual capabilities between AI and humans.
In the context of digital artwork, eligibility
for copyright protection depends on meeting specific criteria. As outlined by
the European Innovation Council and SMEs Executive Agency, the art must be an
original creation demonstrating at least a minimal degree of creativity by the
author. Additionally, it must be fixed in a tangible form, whether on paper,
canvas, or in a digital format. It is important to note, however, that copyright
protection does not extend to the concept or idea behind a piece of art.
In a case of European Union, the ruling in a
case that questioned the copyrightability of digital artwork. The Court of
Appeal observed that “the work is creative when it expresses an original idea,
coming only from the inspiration of its author and confirmed the assessment
expressed by the judge of first instance, arguing that the image it was not a
mere reproduction of a flower, but it entailed one a real reworking, therefore worthy
of protection authorial for its creative character The extent to which the
software tool used in the creation of the artwork absorbed the artist's
creative input”[4].
This ruling widens the scope of AI influenced
work. On other hand the interpretation is that the authorship of the work or
the subject matter of the creative work is human. Here the court applied the
principle that AI applications always require human input. Under the copyright
law if the subject matter is to be capable regarded as original, it is both
necessary and sufficient that subject matter reflects the personality of its
author, as an expression of his free and creative choices. By considering these
aspects and the present foundation of law, when AI is highly influenced, i.e.,
ICT like methods for the “input” to the tools (that itself is AI), the question
arises for the trust worthiness and discrimination towards true man
creativity. The critical evaluation and classification of the legal
foundation become imperative to establish an ideal system. This entails
categorizing intellectual property (IP) rights into three distinct
classifications: human creative works, partially influenced AI creative works,
and fully AI-generated creative works[5].
By implementing this classification system, we
can ensure a comprehensive evaluation of the origins and contributions behind
different creative works. Human creative works would encompass those that are
solely the product of human ingenuity and expression. Partially influenced AI
creative works would include those where AI has played a role in the creative
process, but human input and creativity remain significant. Lastly, AI creative
works would refer to those that are entirely generated by AI algorithms, with
minimal or no human intervention.
Through such a classification system, we can
better understand and distinguish between different types of creative outputs.
This approach recognizes the distinct contributions made by both true man
contribution, AI influenced human contribution like [BCI implanted humans] and
AI, thereby providing a clearer framework for IP rights allocation and
protection. If AI that is free from human intervention even in the
decision-making process. Or human intervention is so minimal or subsidiary that
the essence of the decision is made by AI and man is merely an announcer of the
decision. This phenomenon is observed in the most recent AI (and most certainly
upcoming AI) with far more advanced technologies and machines than those that
existed previously. In fact, some AI technologies, AI machines, and AI systems
have advanced remarkably and reached the level of full automation with
self-judgement and self-decision-making function. The fundamental difference
between the above-mentioned AI as a tool and this self-thinking and
self-judging AI is that the final decision-maker is not a human being, but a
non-human object called AI [6].
AI in Patents: Revolutionizing Innovation,
Challenging Legal Norms
AI has emerged as a powerful tool in
revolutionizing patent research and development. From automating prior art
searches to aiding inventors in ideation, AI technologies contribute to
expediting the innovation process. This subheading explores how AI-driven
algorithms analyze vast datasets, identify potential patent infringements, and enhance
the efficiency of inventors and researchers, ultimately fostering a more
dynamic and accelerated innovation landscape. As AI systems contribute to the
generation of inventive ideas, legal challenges emerge in determining patent
ownership and inventorship. This section delves into the complex legal
implications surrounding AI-generated inventions, addressing questions of
attribution, inventorship rights, and the evolving nature of intellectual
property law. We explore how legal frameworks are adapting to accommodate the
unique challenges posed by AI in the realm of patents. The incorporation of AI
in patent examination processes brings forth advancements in efficiency and
accuracy. This subheading explores how AI-powered tools assist patent examiners
in evaluating patent applications, conducting prior art searches, and
streamlining the examination workflow. The integration of AI as an author in
the patent landscape necessitates a reevaluation of existing legal frameworks.
This section examines how patent laws are adapting to recognize and accommodate
AI-generated inventions, addressing issues of ownership, inventorship, and the
assignment of rights. We explore the evolving legal landscape surrounding
AI-authored patents.
Recognizing AI as an author poses challenges,
particularly in determining the extent of AI's contribution to inventive
processes. This subheading delves into the complexities of identifying AI's
role in patentable inventions, exploring the nuances of distinguishing between
human and AI contributions and the potential legal implications of such
distinctions.
The EPO has published its decision
setting out the reasons for its recent refusal of two European patent
applications in which an AI system was designated as the
inventor. Filed by an individual in autumn 2018, the applications EP 18 275 163 and EP 18 275 174 were
refused by the EPO following oral proceedings with the applicant in November
2019, on the grounds that they do not meet the legal requirement of the
European Patent Convention (EPC) that an inventor designated in the application
has to be a human being, and not a machine. This supported The EPO concluded
that for the mandatory designation of an inventor for a European patent
application the inventor must have a legal personality[7].
This decision transcends the immediate context
of the refused patent applications. It initiates a broader conversation that
resonates in legal, technological, and ethical spheres, shaping the trajectory
of AI-generated inventions within the patent system.
AI's Ethical Quandary: Human Rights, Bias, and
Freedom of Expression Challenges
At the same time human right violation are
reflected causing freedom of expression and biasing when AI influenced creative
are introduced. As mentioned, AI is trained based on the previous data. Where
it can be affected by interest of private propagandas. For an instance AI has
and will continue to have even more impact on how consumers view different
products, brands, and the market. Sophisticated AI products capable of human
interaction.
The integration of AI into creative processes
and its influence on human perception also raises critical concerns about human
rights, freedom of expression, and potential biases. The very data upon which
AI systems are trained may carry the imprints of societal biases, inequalities,
and even human rights violations. As AI algorithms learn from historical data,
they risk perpetuating and amplifying existing biases present in that data.
When it comes to creative works influenced by
AI, the concern extends to the potential reinforcement of certain narratives or
perspectives that may align with the interests of specific entities or
ideologies. The risk of AI-generated content being manipulated for propaganda
or other nefarious purposes underscores the need for ethical guidelines,
transparency, and accountability in the development and deployment of AI
systems. Moreover, the impact of AI on consumer perceptions is substantial.
AI-driven technologies play a pivotal role in shaping how products and brands
are presented and marketed to the public. The personalization and optimization
of content delivery based on individual preferences can create filter bubbles,
limiting exposure to diverse perspectives and potentially reinforcing
pre-existing biases.
Sophisticated AI products capable of human
interaction raise ethical questions about user privacy, consent, and the
potential for manipulation. Deepfake technology, for example, allows for the
creation of hyper-realistic content, including videos and audio recordings,
which can be used to deceive or manipulate individuals. This poses risks to
both personal and collective freedoms, as misinformation and manipulation
become more sophisticated and harder to discern.
To address these challenges, there is a growing
need for robust ethical frameworks, regulations, and oversight in the
development and deployment of AI. Transparency in AI systems, addressing bias
in training data, and involving diverse voices in the creation and evaluation
of algorithms are essential steps toward mitigating the potential negative
impact of AI on human rights and freedom of expression. As the influence of AI
continues to grow in creative domains and beyond, striking a balance between
technological advancement and ethical considerations becomes crucial to ensure
that these innovations contribute positively to society without compromising
fundamental human rights and values. It is a complex and evolving landscape
that requires ongoing collaboration among technologists, ethicists,
policymakers, and the broader public.
Ethical reviews and oversight mechanisms should
be established to assess the implications and potential consequences before
implementing a legal framework for AI. This ensures that the development and
use of AI are conducted in an ethical manner that respects human rights and
aligns with societal values. While considering a solution, it is crucial to
establish a new legal framework for artificial intelligence (AI) that aligns
with internationally recognized human rights standards. These standards include
the Universal Declaration of Human Rights, the International Covenant on Civil
and Political Rights, and the International Covenant on Economic, Social, and
Cultural Rights. Additionally, the European legal background, encompassing the
EU Charter of Fundamental Rights, the European Convention on Human Rights
(ECHR), and global documents like the UNESCO Universal Declaration on Bioethics
and Human Rights, should be considered[8].
The EU Charter of Fundamental Rights
encompasses key rights, including human dignity (Article 1), privacy and
personal data protection (Articles 7 and 8), non-discrimination (Article 21),
and gender equality (Article 23). It also aims to safeguard freedom of
expression (Article 11), freedom of assembly (Article 12), fair trial and
defense rights (Articles 47 and 48), and the principle of good administration.
Additionally, the proposed law would positively impact specific groups such as
workers' rights (Article 31), consumer protection (Article 28), child rights
(Article 24), and the integration of persons with disabilities (Article 26).
Environmental protection (Article 37) is also emphasized, particularly
concerning the health and safety of individuals. By enforcing obligations for
ex ante testing, risk management, and human oversight, the law would promote
respect for other fundamental rights and mitigate the risk of biased
AI-assisted decisions in critical domains like education, employment, services,
law enforcement, and the judiciary. In the event of fundamental rights
violations, transparency, traceability, and robust ex post controls would
ensure effective remedies for affected individuals [9].
In developing and implementing AI regulations,
international collaboration is key. Given the global nature of AI technologies,
a harmonized approach that respects diverse legal traditions and cultural
contexts is necessary. Furthermore, mechanisms for ongoing evaluation and
adaptation of these regulations should be in place to keep pace with the
rapidly evolving landscape of AI technologies.
Ultimately, a human-centric approach to AI regulation, rooted in
internationally recognized human rights standards, provides a solid foundation
for balancing technological innovation with ethical considerations, fostering
trust in AI systems, and safeguarding the well-being of individuals and societies.
Recommendations
To address the challenges surrounding the
aesthetic decision-making function of AI in shaping future selves, I propose,
the implementation of a novel legal framework built upon an AI platform
specifically designed for the legal domain. This platform would possess the
ability to govern, monitor, and safeguard existing AI systems. Furthermore, it
would incorporate an evaluated, scrutinized, and justified dataset for training
AI algorithms. This approach could also offer benefits in terms of intellectual
property (IP) protection. For instance, this AI platform could play a pivotal
role in distinguishing between creative works and inventions, thereby
facilitating the identification of true inventors. Through careful analysis and
assessment, the platform could categorize and grant IP rights to individuals
based on their genuine achievements. This would ensure that proper credit is
attributed and that inventors receive the appropriate recognition they deserve.
The incorporation of an AI platform in
discerning between creative works and inventions holds the potential to
revolutionize the identification and acknowledgment of genuine inventors. By
harnessing advanced analytical capabilities, the platform can offer a more
objective and thorough assessment, addressing challenges inherent in the
existing system of intellectual property (IP) recognition. This AI platform can
play a pivotal role in objectively analyzing extensive data related to creative
works and inventions. Its ability to identify patterns, timelines, and
connections provides a more impartial evaluation compared to human assessors,
contributing to a fairer recognition process. Moreover, the cross-disciplinary
nature of the AI platform enables it to seamlessly analyze diverse fields of
innovation. This broader perspective proves valuable in identifying inventors
whose work spans multiple domains or involves unconventional combinations of
ideas.
Efficiency is a key advantage of the AI
platform, ensuring that inventors receive timely acknowledgment for their
contributions. In fast-paced technological fields, the platform's rapid
analysis can prevent delays in granting IP rights, supporting timely
recognition. The AI platform's objectivity extends to minimizing biases in
decision-making processes. Carefully designed algorithms can promote fairness
and equity, ensuring that inventors from diverse backgrounds and regions
receive due recognition. Additionally, the platform can assist patent offices
in reviewing submissions more efficiently. By cross-referencing existing
patents, scientific literature, and other sources, the AI can identify prior
art and assess the novelty and inventiveness of new applications. Integrating
fraud detection algorithms is another valuable aspect. The platform can identify
cases where false claims of invention or authorship are made, enhancing the
integrity of the intellectual property system by preventing undeserved
recognition.
Ultimately, the AI platform contributes to a
climate that encourages innovation. Streamlining the recognition process
reassures inventors and creators that their contributions will be accurately
acknowledged, motivating them to push the boundaries of knowledge. While
recognizing the potential benefits, it is crucial to implement safeguards and
ethical considerations in the development and deployment of such a platform.
Transparency, accountability, and ongoing evaluation are essential to ensure
that the AI system operates ethically, aligning with the principles of fairness
and justice. By accelerating this new legal foundation, we can solve the
challenges associated with the aesthetic decision-making capabilities of AI.
The platform's ability to control and track AI systems, combined with its
capacity to assess, and validate data, would enhance the overall integrity and
reliability of AI-generated outcomes.
Conclusion
The intricate intersection of Artificial
Intelligence (AI), intellectual property, and human rights unfolds a complex
terrain. This examination reveals challenges and prospects spanning creative
processes, copyright, patents, and ethical dimensions. The transformative
impact of AI necessitates a reassessment of authorship. The European Union's
proposed four-step evaluation process aims to address uncertainties in
ownership and ethical considerations. Despite a recent EU ruling recognizing
AI's creative character in digital artwork, persistent challenges arise in
defining AI as a creator, particularly amid human augmentation.
While AI propels innovation, it concurrently
introduces legal intricacies. The European Patent Office's rejection of an AI
system as an inventor underscores the insistence on human inventors with legal
personality, prompting discussions on delineating human-AI contribution
boundaries. Ethical concerns loom large as AI influences human rights, freedom
of expression, and biases. The EU Charter of Fundamental Rights lays the
groundwork for ethical AI regulation, emphasizing transparency and
accountability. Sustained collaboration is imperative for shaping ethical frameworks.
To confront these challenges, a thorough
assessment of AI's profound impact on intellectual property and human rights is
essential. Updating the legal framework is imperative to safeguard the rights
of all stakeholders in the dynamic technological landscape. A nuanced approach
is indispensable to ensure that the legal system not only adapts to
technological advancements but also protects the rights and interests of
individuals and entities engaged in the creative process.
Recommendations advocate for a pioneering legal
framework featuring an AI platform tailored for the legal domain. This platform
aims to oversee existing AI systems, promoting transparent and equitable
recognition of intellectual property rights and fostering innovation. An AI platform
dedicated to discerning between creative works and inventions holds the
potential to significantly enhance the accuracy and efficiency of intellectual
property recognition, ensuring due credit for inventors' valuable contributions
to innovation and progress.
As legal frameworks evolve and ethical
guidelines take shape, global collaboration remains pivotal. Embracing AI in
creative and innovative processes requires a deliberate and cooperative
approach, harmonizing technological progress with ethical principles to
navigate the path forward.
[1] Council of Europe - Highlights
2019 (2020),Council of Europe - Highlights 2019 (coe.int), (last visited Jan. 23, 2024).
[2] An official website of the European Union, Excellence
and trust in artificial intelligence - European Commission (europa.eu), (last visited Jan. 23, 2024).
[3] Tiple, Vasile,
Recommendations on the European Commission’s WHITE PAPER on Artificial
Intelligence - A European approach to excellence and trust, COM (2020) 65 final
(the 'AI White Paper') (June 7, 2020). Available at SSRN: https://ssrn.com/abstract=3706099 or http://dx.doi.org/10.2139/ssrn.3706099
[4] Stein,
A.M,Digital art protectable under copyright? Yes, says the Italian Supreme
Court, The IPKat, February 3, 2023, URL:
https://ipkitten.blogspot.com/2023/02/digital-art-protectable-under-copyright.html
[5] Vessia,Francesca
and Muciaccia, Nicolò, ICT Implants and Brain-Computer Interfaces: Legal Issues
in the EU Framework ,pp.305336., (2018), AvailableatSSRN: https://ssrn.com/abstract=3400039
[6]Lee, J. Artificial Intelligence
and International Law. Singapore: Springer Nature, (2022), https://doi.org/10.1007/978-981-19-1496-6 .
[7] The EPO at a glance, https://www.epo.org/news-events/news/2020/20200128.html, (last visited Jan. 23, 2024).
[8] Unboxing
artificial intelligence: 10 steps to protect human rights, (May. 24, 2019),https://www.theioi.org/ioi-news/current-news/unboxing-artificial-intelligence-10-steps-to-protect-human-rights
[9] An official
website of the European Union, EUR-Lex - 52021PC0206 - EN - EUR-Lex (europa.eu) (last visited Jan. 23, 2024).
Article Information
THE INTERSECTION OF ARTIFICIAL INTELLIGENCE, INTELLECTUAL PROPERTY RIGHTS, AND HUMAN RIGHTS: CHALLENGES AND FRAMEWORKS
Authors: UBITHA P.K
- Journal IJLRA
- ISSN 2582-6433
- Published 2024/01/25
- Issue 7
About Journal
International Journal for Legal Research and Analysis
- Abbreviation IJLRA
- ISSN 2582-6433
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