
The battle is under way. The forces of truth against the
forces of deception. With visual AI that facilitates the falsification of
visual content, your credibility is at stake. And with it, the income of
thousands and thousands of people around the world who depend on the
credibility of the images to prosper: newspapers, magazines, photographers,
newscasts, web broadcasters, television news, cameramen, journalists and photo
agencies, among many others.
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The bets are very high. If we no longer trust our photos or
videos, we lose our primary knowledge of what is really happening outside our
immediate environment. With it, the ability of democracies and societies to
function properly.
Trust in accountability
The best way to defeat (as in, discover your deceptive
intention) false and manipulated images is to reveal their source. If we know
who is the creator of a video or a photograph, we are more likely to know if it
is real or not. In any case, we will be alerted of its potential to deceive.
The institute
of known technology
How to
apologize for showing by
Entering responsibility through verified authorship will
restore trust.
When we read an article, we seek to find the author to
assess his level of credibility. An author with a long history of proven
reliability (and some in his name) will surely be more reliable than someone
who has just started college.
Publication will often increase or decrease someone's
credibility. An article written by a complete unknown published will be
trusted. The same article published by the same author, much less likely.
Revealing authorship also requires accountability. Create a
referential story. Together, they are clear markers of trust. While the
deception hides in the shadows of anonymity, the truth does not need filters.
Therefore, enforcing authorship creates a higher level of credibility.
The
Content Authenticity Initiative
This is precisely what they have decided to implement with
the Content Authenticity Initiative launched in November 2018. Create a
framework that allows the creation and preservation of visual content
authorship, one that can be used by anyone, from publishers to companies
Technological With it, consumers will be able to identify the source of a photo
or video, which will allow them to make an informed decision about the
credibility of a file.
To establish authenticity, one must clearly define
authorship and integrity: the file was created by this person / entity
(authorship), and the record has not been altered. Authorship, as we have seen
before, is critical to the credibility of a file. Without it, it is impossible
to evaluate the intention. Integrity shows if and how the file was edited. It
is a sample of hands, publicly declaring any alteration. Any intention to
deceive, such as the removal or replacement of an object / person, can be
clearly recognized.
It seems quite simple. But there are many problems. Claiming
authorship must be a choice, not an obligation. Under a totalitarian regime,
the authors of photos or videos will not want to have files associated with
them, since they would run the risk of being imprisoned or killed. But let the
authors / creators decide if they declare ownership and when they change little
of the current situation.
The same goes for integrity. Graphic designers and Photoshop
artists are not likely to publish their file editing history, as it would
reveal their trade secrets. Therefore, the history of alterations should also
be an option and not an obligation, leaving today's situation virtually
unchanged.
Authenticity must respect anonymity.
Will it Work?
For a project like to work, strong incentives should be in
place. It could come from various sources. Publications, like, could decide not
to accept photos/videos that do not have follow the Authenticity Framework.
Platforms like could degrade posting who publish non-authenticated content. Unknown
content should be examined by important publishers.
Authenticity could also be linked to copyright and license
payments, as proposed by Article directive on Copyright. As a framework on
authorship, the could be used by tech companies to redistribute revenue to
creators. Even designers might change their minds if there is revenue involved.
Out of six senses, vision is, by far, the one we trust the
most for critical information. Studies show that if receiving conflicting
information from our senses of sound and touch, for example, vision is always
the sense we rule correct. It is our primary source of trust. If we see it, it
exists. If not, it might not be real. If we can no longer believe what we see,
our world will be torn apart.
It will work?
For a project to work, there must be strong incentives. It
could come from several sources. Posts, like, may decide not to accept photos /
videos that have not followed the Authenticity Framework. Platforms such as
could degrade publications that publish unauthenticated content. Anonymous
content should be examined by trusted publishers.
Authenticity could also be linked to the payment of
copyright and licenses, as proposed by the directive of the article on
copyright. As a framework of authorship, technology companies could use it to
redistribute income to creators. Even designers can change their mind if there
is income involved.
Of the six senses, the vision is, by far, the one we trust
the most to obtain critical information. Studies show that if we receive
contradictory information about our senses of sound and touch, for example,
vision is always the sense that we dictate correctly. It is our main source of
trust. If we see it, it exists. If not, it may not be real. If we can no longer
believe what we see, our world will tear apart.
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