In this era of digitalization, where almost everything is digital and every
person wanting their task to be done instantly or swiftly. Due to technological
advancements, more and more inventions are taking place across the past decade,
everything has become just a click away! People can order food, clothes,
groceries and what not from any part of the world with the medium of internet
and technology from the convenience of their house.
But everything has its own
advantages and disadvantages, because of this excessive use of internet, people
has devised their method to deceive others who are rather nave with the subject
of internet and such advanced technology and such elements are being robbed off
their assets as they tend to believe whatever is there on the internet is true.
With the development in technology, there has been a sudden surge in the number
of hackers and scams over the internet that has led to an increase in the rate
of cyber crime across the globe.
AI, or artificial intelligence is a technological technique wherein it becomes
possible for computer to mimic intelligence and problem-solving skills.
Deepfakes are like a branch of artificial intelligence in which a photo or a
video is convincingly altered to impersonate real people or things as to make
them do things which they wouldn't do in reality. It includes manipulating
facial expressions and speech patterns to generate entirely fictional video
footage, deep fakes represent a new frontier of disinformation.
Deep Fakes: How And What?
Deep Fakes is a synthetic media, including audio, video and images, generated by
artificial intelligence technology that portray something that does not exist in
reality or have never occurred.
The term deepfake combines deep, taken from AI deep-learning technology (a type
of machine learning that involves multiple levels of processing), and fake,
addressing that the content is not real. The term came to be used for synthetic
media in 2017 when a reddit moderator created a subreddit called "deepfakes" and
began posting videos that used face-swapping technology to insert celebrities'
likenesses into existing pornography videos.
Deepfakes are produced using two different AI deep-learning algorithms: one that
creates the best possible replica of a real image or video and another that
detects whether the replica is fake and, if it is, reports on the differences
between it and the original. The first algorithm produces a synthetic image and
receives feedback on it from the second algorithm and then adjusts it to make it
appear more real; the process is repeated as many times as it takes until the
second algorithm does not detect any false imagery.
Deepfakes are, more often than not, associated with nefarious motives, including
creating misinformation and generating confusion about politically important
matters. They have been used to demean, intimidate, and harass and have targeted
not only celebrities, politicians, and CEOs, but ordinary citizens as well.
Laws Regarding Deepfakes Around The World & India
China has established provisions for deepfake providers, in effect as of 10th,
January, 2023, through cyberspace administration of China. This provision
requires companies and people that uses deep synthesis to create, duplicate,
publish, or transfer information to obtain consent, verify identities, register
records with the government, report illegal deep fakes and offer recourse
mechanisms. In Canada, there is a three prolonged strategy that includes
prevention, detection and response. Canadian government work in favour of
spreading legal awareness and developing their prevention technology as to
tackle this problem of illegal deepfakes.
Existing Canadian law that bans the
distribution of nonconsensual disclosure of intimate images. The EU has proposed
laws, Code of Practice on Disinformation addresses deepfakes through fines of up
to 6 percent of the global violators. Also, has the backing of Digital Services
Act, which came into force in November 2022, increases the monitoring of various
platforms for various kinds of misuse. South Korea was one of the first
countries to invest in AI research and development, as they made an investment
of 1 trillion won over 5 years.
South Korea makes it illegal to distribute deepfakes which causes damages to public interests, with offender being liable
to 5 years of imprisonment or fine up to 50 million won. In the US, on the
federal level, the DEEP FAKE Accountability Act was introduced in 2019, seeks to
require deep fakes creators to disclose their use, prevent distribution of deep
fakes intended to deceive its viewers during an election or harm the reputation
of an individual and set potential fines and imprisonment terms for the
violators.
In India, there are section 66D and section 66E of the Information Technology
Act, 2000 which penalises a person with imprisonment and a fine, who cheats by
impersonating an individual and/or publishes or transmits images of a private
area absent content in an electronic form. Sections 67, 67A and 67B of the IT
Act prohibit and punish those who publish or transmit obscene or sexually
explicit material. These provisions, however, are not enough to address the
larger problem, how to identify and prevent the circulation of abusive deep
faked content. On 7 November 2023, the Union issued an advisory to social media
intermediaries ("SMIs") to identify and action, inter alia, deep faked content.
The union advised SMIs to ensure due diligence is exercised and reasonable
efforts are made to identify misinformation and deepfakes, such cases are
expeditiously actioned against and access is disabled well within applicable
timelines under the IT Rules, 2021and any such content, when reported, is
removed within 36 hours of the report: SMI's failure to act in this regard would
attract Rule 7 of the Information Technology Rules (Intermediary Guidelines and
Digital Media Ethics) Code, 2021 by way of which they could be charged with
offences under the Indian Penal Code.
Subsequently, on 27 November 2023, the
Union announced its plans to draft new regulations and amend existing laws to
combat the creation and spread of deep faked content. Section 57 of the Indian
Copyright Act, 1957 provides that copyright protection against unauthorized use
of works, allowing copyright owners to take legal action.
In global context, Bletchley declaration signed by 28 nations work together in
an inclusive manner to ensure human-centric, trustworthy and responsible AI that
is safe, and supports the good of all through existing international fora and
other relevant initiatives, to promote cooperation to address the broad range of
risks posed by AI.
Challenges Ahead
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Non-consensual Pornography: It accounts for 96 percent of deepfakes currently deployed on the internet. Most targets are celebrities, but there are an increasing number of reports of deepfakes being used to create fake revenge porn. This can cause harm to the reputation of the individual and may drive that person into depression or various other mental health problems.
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Extortion and Identity Fraud: Corporations worry about the role deepfakes play in supercharging scams. There have been unconfirmed reports of deepfake audios being used in CEO scams to swindle employees into sending money to fraudsters. Deepfakes could also be used to make fraudulent online payments and hack into personal banking services. Voice cloning is a method used by fraudsters to mimic individuals, which is then used to deceive others to gain material benefits.
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Electoral Deepfakes: Fraudsters can deliberately create deepfakes to alter the speeches of politicians and influence public opinion regarding a particular candidate. Unchecked use in campaigns can destabilize democracies.
Measures That Can Be Taken As Protection Against Deepfakes
Deep trace takes the approach championed by WITNESS Program Director Samuel
Gregory: Don't panic. Prepare. Consider using semantic passwords for
conversations, or a secret question you ask or answer at the start of a call. If
you have a voice authentication service or biometric security features, ask
those providers whether their tools are up to date. Educate your employees.
Explain deepfake attacks might become more frequent and there is no magic
formula for detecting them. Making technology more advanced so that such deep
fakes can be detected at their nascent stages and can be pushed down at that
given stage.
Law making bodies have to introduce better rules and regulations which can put a
limitation on deep fakes and safeguard the citizens and popular figures from
being bullied and harassed. Government should work swiftly as to safeguard the
right and dignity of the citizens and should towards passing certain bills which
will provide its citizens with certain protection from these kinds of
cyber-crimes.
Another way can be through education, as the government or responsible
bodies/departments should introduce certain legal awareness drives, they can
also certain presentation and outreach programmes in NGOs, schools, colleges and
slums and provide them with awareness regarding ongoing digital threats and
educate about the ways through which they can safeguard themselves.
Make sure that it includes how to tell a fake from a real deal. In a webinar,
Raymond Lee, the CEO of FakeNet.AI and senior director of security strategy at
Cato Networks, explained that facial features are very difficult to perfect,
especially the eyes. If the eyes look unnatural or the movement of facial
features seem to be off, chances are good that it is an altered image.
Conclusion:
In this age of digitalization where almost everything is present online and is
just a click away, it is important to note that everything has its merits and
demerits and its up to the individual as to how they choose to use it. Internet
and technology can be used to serve legal awareness and towards welfare of the
individuals and can also be used to extort, harass other innocents over the
platform. Thus, it becomes important for the individuals to know how they can
save themselves from such cyber-crimes and protect their dignity and reputation.
Government should work towards the protection of rights and dignity which is
guaranteed to them in the constitution.
Public awareness campaigns by government and media are vital to inoculate
citizens against deepfake risks. Media literacy education especially for youth
can create informed, critical digital citizens. Fact-checking networks and
cybersecurity need enhancement to counter disinformation threats.
It becomes a need of the hour to pass certain regulation according to the
dynamic state of affairs with the help of the necessary stakeholders introducing
their valuable insights onto the upcoming issue of deep fakes. It is important
optimize deep fakes while mitigating its negative factors to certain extend.
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