About Deepfake Technology
The myriad of deepfake technology, from its nascent presence since early 1990's
to its ignominious specters today, is not only readily available but has also
transgressed into copyright infringement. It is often weaponized by the masked
criminals sustaining themselves over online interfaces to commit digital frauds.
The term "
deepfake" comes from the mere combination of "deep machine learning"
and "fake". Deep faking is an advanced technology where the artificial
intelligence is used to create deceptive realist images, audio as well as
visual, which is often known as "synthetic media". It exists artificially yet
the digital impersonation creates an impression of events that never actually
took place, altering the reality.
Typically, Generative Adversarial Networks, in which two algorithms are pitted
against, to create such synthetic media, are the most popular method for
producing deepfake. This technology can be utilized in multifarious ways,
educational sphere in order to produce interactive and creative content, in the
film industry to substitute the lead actor to align a stunt double and even by
social media platforms to enhance the user experience. However the technology
holds vast potential to be utilized for legitimate purposes, its deployment for
pernicious activities is on leap, including revenge porn, disparagement of
political foes, fraudulent businesses, and harassing women.
In fact, since the availability of this technology has increased, 90–95% of
deepfake movies are now non-consensual pornographic videos, and 90% of those
videos target women, the majority of whom are minors Additionally, the use of
deepfakes to disseminate false information about political parties and
politicians has increased. A now-viral video from 2018 featured a deepfake
President Obama saying things that weren't of his own, but were instead meant to
emphasise how lifelike these artificial voices and graphics were. With its quick
development, deepfake technology has the capacity to spread false information,
harm lives, and destroy businesses if left unchecked.
The Tussle Between Copyright Infringement And Generative AI Deepfakes
Since, there exist easily accessible and widely available techniques that make
them difficult to detect, deepfakes may quickly produce morphing photos and
videos, which further drives their improvements. India lacks specific
legislation to deal with deepfakes and AI-related issues, making it possible for
someone's video/image or any copyrightable creation to be used without
permission with startling accuracy. Actors' and authors' struggles to keep
control over their digital identities are representative of a larger social
issue.
Deepfakes cast doubt on the definition of originality and creativity. The
question to still ponder upon is whether a deepfake still violate the copyright
of the original work even if it modifies the original to the extent that it
becomes a new and original creation? Since the law is ambiguous on these issues,
legal development is necessary to handle this new problem. Its likely to see how
courts handle these issues in light of present copyright law as long as
deepfakes keep popping up.
Because deepfakes are often made by altering already published, copyrighted
content, they are thus closely related to copyright law. Deepfakes thus raise
issues of copyright infringement, notwithstanding the possibility of a strong
fair use defence against infringement in certain circumstances. The Generative
AI creates such an impersonation which may bring into existence such creations
which may violate exclusive rights of the owners, especially the Right to
publicly display their respective work.
The deepfake conundrum and the Indian stance
In the Indian context, Section 52 of the Indian Copyright Act, 1957 covers the
idea of "fair dealing," albeit it doesn't provide a definition. This section
effectively makes a distinction between legitimate and illegitimate users of
protected works by providing a comprehensive list of works that are deemed to be
infringing. However, the sections do not provide an exhaustive list of
situations dealing with transformative use, leaving room for ambiguities and
legal uncertainties for the deepfake works. From a wide perspective, it can be
said that, the existing state of Indian copyright law can be used as an
effective tool to combat deepfakes because of its rigour. Nonetheless, the
Indian doctrine of fair dealing states that all deepfakes, including those made
for amusement and with a valid purpose, violate copyright. This stance must be
adjusted to take into account deepfakes produced for legitimate reasons.
Article 13 of the Trade Related Aspects of Intellectual Property Rights (TRIPS)
states that "Members shall confine limitations or exceptions to exclusive rights
to certain special cases which do not conflict with a normal exploitation of the
work and do not unreasonably prejudice the legitimate interests of the right
holder." The primary implication that can be drawn from this section in Indian
context is, that certain alignment in legal mechanism and enforcement of
copyright law, in a way that it not only stifles originality in creativity but
also protects the right of creators from potential abuse.
Further, Copyright and intermediary liability are closely related concepts.
Deepfakes and other similar content can typically reach a wider audience by way
of social media and other intermediaries. Intermediaries may be required to
remove illegal content under Section 79 of the Information Technology Act of
2000 upon receiving a court order or actual knowledge of it.[1] It is a safe
harbour provision for the intermediaries ideally, but if adequate and prompt
action to take down such deepfakes or prolonged availability of deepfakes even
after sufficient knowledge shall not provide protection to such intermediaries
anymore.
Conclusion
Due to their complexity and wide range of applications, deepfakes need that
lawmakers and the courts take into account the motivation behind their
development when determining whether or not to grant copyright protection to
them. The Indian copyright legislation's comprehensive list of fair dealing
provisions ignores the potential applications of deepfakes in the fields of
entertainment, education, and medical technology. Because of this, even while it
looks to be a step ahead in combating criminal usage of deepfake technology, it
doesn't seem to be able to recognise the genuine applications of deepfakes.
The laws that control technology use must also advance with it. The work that
lies ahead is difficult but necessary. We can perhaps create a system that
safeguards individual rights without impeding technological advancement if we
acknowledge the complexity of the issue and pursue all-encompassing legal,
technological, and ethical solutions.
Written By:
- Muskaan Suneja, a fourth-year law student at Christ University,
Delhi
- Amartya Shivam, a fourth-year law student at Christ University,
Delhi
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