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Deepfakes have a massive potential in the movie industry. This type of technology is very usefull as it can help refine in many different factors.
One example is bringing back acors or actresses. Sometimes an actor is unable to attend to the sequel of a movie in which he has already appeared, and deepfakes can easiely solve this problem. The only thing to do is to design a deepfake model of the actor and make the movie with it.

More realistic scenes in movies.
Deepfake technology can perfectionate the actors or actresses faces for a not very elevate price.
As a real example, Actor Henry Cavill had to work for two movies at the same time, in one of them he had to have a mustache and in the other one he didn't. It was a huge problem because his mustache could not be shaved.
Deepfakes would have quickly solved this problem by, with the help of editing, make the mustache dissapear.
Instead, the directors chose to fix it with an CGI which ended up looking terrible. Everybody made fun of it and this disaster could have been avoided by simply using deepfakes, which are accually more cheap and affordable.

Mehmet, M  (December 3, 2021) Advantages and Disadvantages of Deepfake Technology. Retrieved (January 30, 2023) from:
https://medium.com/geekculture/advantages-and-disadvantages-of-deepfake-technology-ccfa7c12b1ae

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We live in a world where we can create visuals and sounds that is not real. Does this synthetic reality lead us to a better world - or a worse one?

We call this synthetic video processing Deepfake. So, what is this Deepfake thing exactly?

Business Insider says:

"The term "deepfake" comes from the underlying technology "deep learning," which is a form of AI. Deep learning algorithms, which teach themselves how to solve problems when given large sets of data, are used to swap faces in video and digital content to make realistic-looking fake media."
https://www.businessinsider.com/what-is-deepfake

Yes, we have come this far in technology, and by every day, we become better and better.

Of course, there are advantages and disadvantages of deepfake technology. In this article, we are going to discuss these.

Deepfakes have a lot of potential usages in the movie industry.

You can bring back a decedent actor or actress. It can be debated from an ethical perspective, but it is possible and super easy if we do not think about ethics! And also, probably way cheaper than other options.

Do you remember when they brought Paul Walker back in Fast and Furious 7? They have used CGI and VFX and spent countless hours to bring him back, but the Deepfake method is easier and cheaper!

The only problem is that the movie came to the theaters in 2015, but the Deepfake trend started in 2017.

I don't know if you have seen Joss Whedon's Justice League (2017).

Actor Henry Cavill brought Man of Steel to life In Justice League movie with incredible acting talents, but there was a problem.

He was also attending the shoots of Mission Impossible: Fallout at the same time. His character in MI:6 had a mustache. But Superman doesn't have a mustache, as you know! The studio didn't let him shave his mustache.

Shootings were at the same time. So, they decided to remove his mustache with CGI. And this way, he could play both roles without any problem. It's a Win-Win situation, right? No. It was a disaster. The CGI was terrible and weird-looking. It shook the Internet and became a figure of fun.

Then a guy on YouTube managed to get rid of from mustache by using Deepfakes. Here you can see the results.

See? It's super easy, and you don't have to spend millions.

Chance of Getting Education from Its Masters

Just imagine a world where you can get physics classes from Albert Einstein anytime, anywhere! Deepfake makes impossible things possible. Learning topics from its masters is a way motivational tool. You can increase the efficiency, but it still has a very long way to go.

Unfortunately, there are lots of ways of scamming with this powerful technology. We have seen some examples recently.

Everything comes with a price. Sometimes this price can be high enough, like $243,000.

This technology paves the way for scams like these.

We must question everything in this brand-new digital era. Can you believe what you see? Can you believe what you hear? It's hard to find an answer these days. This situation leads us developing new algorithms that detects fakery.

There was a Deepfake Detection Algorithm Competition in Kaggle 2 years ago, and the prize money was $1,000,000. Maybe a brighter future is possible.

Spreading Misleading News via Politicians

It is hard to spot fake things these days.

We are so open to believing what we see or hear in media. And if you see a public figure talking about a topic, you usually would not think if the person is "real" or "fake?". However, when Deepfake exists, you must. Somebody with bad intentions can easily manipulate the news. This can lead to wars, chaos, and even hunger.

The usage area of the Deepfake totally depends on the person. Will you use it for good, or not?

We all have social media accounts. We all have Facebook, Instagram, and Twitter. All of us generate tons of data every day. We all share our photos from every angle, with different moods. This may lead to some privacy problems. A Deepfaker with bad intentions can easily access your photos, take them without permission and use them.

You would not want to see yourself in a fake video without your permission. But it is possible. We need a law enforcement. Privacy is the biggest problem of 21st century.

Have you heard Spider-Man: No Way Home?

Footage of actor Andrew Garfield on the set has leaked even though he was not confirmed to be in the movie. Fans were expecting him to be in the movie, but there was no official statement from Sony or Marvel's side.

The internet blew up after this leaked footage. Everybody was discussing if this video was real or not. Some people thought it was a Deepfake, but there wasn't any clue about it. It was super accurate.

A YouTube channel named "Corridor Crew" analyzed the video and decided it was not a Deepfake. (Creator of the original footage says it was a Deepfake, but he probably has been warned by Disney and Sony.)

There is still much confusion, and we have to wait until the movie comes to the theaters.

People got used to hearing about Deepfakes. Most of the Internet people know what Deepfake is. We do not have to wait for years to reach and use new technologies like old times.

We are in the era of Artificial Intelligence. They can see, they can analyze, and they can fake it. There are good and bad sides of Deepfakes, but the usage area of technology depends on us. We must use it for the greater good. Also, some legal arrangements must be done.

Indeed, all these will take some time to reach a certain point. We will see what kind of world this technology leads us to.

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Advantages and Disadvantages of Deepfake Technology

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We live in a world where we can create visuals and sounds that is not real. Does this synthetic reality lead us to a better world - or a worse one? We call this synthetic video processing Deepfake. So, what is this Deepfake thing exactly?

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Deepfake technology can provide benefits for marketers.
It lowers the cost of video campaigns. Marketers can save lots of money with deepfakes as there is no need to hire a person actor. Instead of paying for a real actor, companies can purchase a license for an actor’s identity. Then use the digital recordings of the actor and insert the dialogue from a script for the actor and create a new video.
Companies can also save time if they want to use other employees for ads. Also, they don’t even need to reshoot the video if it’s not correct, tehy can just edit the deepfake.

As they don’t need to use real life actors for a campaign, they can re-use already existing content for more than one channels in less time and less money.
Instead of reshooting scenes for different channels, companies can just edit or replace video cuts to make different episodes.

Lastly, Hyper personalisation.
Deepfakes have made Hyper personalisation much stronger, a brand can supply single customers with more information and experiences based on their personal preferences.
If a brand has a product which model is based in light skin faces, deepfakes can make a digital model of the product applied into a darker skin. This helps the market by reaching to more people without depending on differences between every type of human.

Eliot, F (June 24, 2022) Advantages and Disadvantages to Deepfake. Retrieved (January 30, 2023) from:
Technologyhttps://www.intelligencygroup.com/blog/digital-roundup-24-6-22/

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Intelligency Group | Digital Intelligence & Marketing

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June 24, 2022 Posted by Eliot Ferrier Uncategorized 0 thoughts on "The Pros and Cons of Deepfake Technology, Google News gets a redesign, TikTok's Platform Strategy revealed, and Instagram's main feed to be revamped."

Advantages and Disadvantages to Deepfake Technology

Deepfake technology is changing how different people perceive digital marketing. Whilst marketers are still experimenting with ways to include deepfakes and deepfake technology into their strategies.

At the moment, deepfake videos can convey an immersive marketing experience for a target audience through storytelling.

Deepfake technology is a form of "deep learning", which means it's a machine learning type that lets a computer learn different tasks without being explicitly programmed to learn the said task. It also allows a computer to identify different objects in images. This is known as "computer vision"

Computer vision uses algorithms to recognise and identify different objects in both videos and images, for example, it can tell you if a cat appears in an image or not.

As well as the learning technologies and computer vision, creating a deepfake includes image synthesis. To explain the image synthesis process, it involves for instance:

Taking an image (like someone holding up a Union Jack flag).

Incorporating it with a different image (a person holding up an American flag).

And then making something entirely new from these two components (Someone holding up both flags).

Examples of Deepfakes in popular media

Some examples of deepfakes you may have seen in popular media or in real life you may have seen are as follows:

The Star Wars film Rogue One involved a performance from a deepfaked young Carrie Fisher.

A deepfake of the famous artist Salvador Dali was used to host a museum dedicated to him in Florida.

Deepfake technology even allowed a voice synthesised John F. Kennedy to read a speech he never got to make.

The benefits of Deepfake technology

Deepfake technology can provide the following benefits to marketers:

Lowers the cost of video campaigns.

Deepfake technology can create better omnichannel campaigns.

It can provide a hyper-personalised experience for customers.

Low-cost video campaigns

Marketers using deepfakes can save money on the budgets for their video campaigns using because you don't need an in-person actor.

Instead of using an in-person actor, a marketer can purchase a license for an actor's identity. You can then use previous digital recordings of the actor, insert the appropriate dialogue from a script for the actor and create a new video.

If you follow this process, you can also save time if you want to use other employees for ads.

To use an example, if you want to use your business' CEO for a new video campaign but they do not have time to record a new ad due to a busy schedule, you would only need a few previous recordings from past campaigns or interviews to make the new campaign.

As another benefit, you don't even need to reshoot the video if it's not what you wanted, you can just edit the deepfake accordingly.

Improved Omni-Channel campaigns

Since you don't need to use in-person actors for a campaign, you can repurpose existing content for various marketing channels for both less time and less money.

Instead of reshooting to fit different purposes for different channels, you can instead just edit or replace video cuts to create a paid social campaign.

Or, you can use voice synthesis to create new dialogue to create a podcast, radio, or streaming services ad.

Hyper-Personalisation

Deepfake technology has led to an upsurge in hyper-personalization.

A brand can provide individual customers with more relevant messaging and experiences based on their personal preferences, such as their ethnicity or skin colour.

For example, if a customer was of a different ethnicity than a brand's model for their marketing.

Deepfake technology would allow you to alter the skin tone of that model so the customer can experience what the product would look like on their skin tone.

This process can help your brand increase inclusivity and reach a broader market with campaigns.

Deepfake disadvantages

Unfortunately, deepfake technology has the potential to be used for malicious purposes just because of the sheer power behind it.

For a marketer, this can mean a fake customer complaint, a fake product review, as well as a decrease in trust from customers.

Lack of trust or ethics issues

The most obvious impact of deepfake technology is that it can be used to create a fake video, so ascertaining the authenticity of a piece of content has become more difficult.

If you could tell whether or not someone's image was actually them or not before viewing a video, it would still be impossible for anyone who didn't know the person on a personal level.

If a marketer or brand uses a deepfake video, a consumer may feel manipulated by the campaign and not trust the brand in the future.

For example, it's possible to use deepfakes to create a fake review, this would be considered unethical.

On the other hand, if a brand uses deepfakes to elevate the brand's storytelling, this would be considered ethical.

Scamming increases

Deepfake technology may also increase the number of scams online, you could create false accusations or complaints against companies.

A deepfake such as this is made by taking a recording of an actual incident and then altering the audio with new dialogue to mislead viewers.

An example of this happened recently, a German energy firm's U.K. subsidiary handed around £220,000 to a Hungarian bank account after a swindler used the power of deepfakes to synthesise the CEO's voice.

You could also use deepfakes to make product reviews that are fakes, to make your product more appealing than they actually are.

Google revamp Google News for Desktops

Google has redesigned Google News for desktops as of the 22nd of June.

The redesign is more customisable, so a user can meet their information needs in a personalised way, you can now:

Add filters

Customise topics you're interested in

And check more facts with an expanded fact-checker section

Google confirmed that the redesign was inspired by feedback from users of Google News. The update coincided with the 20th anniversary of Google News, which was one of the earliest tools that aggregated stories in real-time.

Here's a bit more about the update:

Filters

You are now able to add filters to the 'local news' section of Google News, this allows you to see stories from different locations all at once.

Customisable topics

You can now customise the topics that appear on your Google News home page. A user is able to add, remove, or even reorder topics.

Expanded fact-checker

Google News allows a user to gain more content in regards to a story in the expanded fact-checker section. Users will be able to see the original claim along with the fact-checked assessment from an independent body, separate to Google.

Google News returns to Spain

After eight years, Google News has also returned to the country of Spain.

Here's what the new homepage looks like:

TikTok Leaders discuss their platform strategy at Cannes

On the 20th of June, TikTok hosted its first company event at the 2022 Cannes Lions International Festival of Creativity.

Multiple leaders of the number one social media platform discussed their vision for TikTok's future and the challenges they may face.

The event is held annually at the resort town located on the French Riviera and is deemed one of the premier awards shows for the advertising industry, the execs from TikTok discussed multiple topics.

The topics included adding shopping functionality for brands, safety challenges, the impact that iOS' privacy changes brought to social media advertising, and the influencer/creator economy.

TikTok aim to win more advertisers, despite privacy changes

Blake Chandlee, who is TikTok's president of global operations solutions, revealed that the social media platform currently hosts hundreds of thousands of advertisers - but they aim for somewhere in the millions.

The heads at TikTok plan to achieve this by adding new tools to the platform and executing a program that has been developed in-house and is designed to report back on the quality of ads.

Just like other social media platforms, TikTok has been pursuing fresh and unique ways to target advertising in the wake of Apple's privacy changes.

Ray Cao, the managing director and global head of monetization product, strategy, and operation stated that TikTok's platform will include more contextual targeting for audiences.

Also, the platform is taking steps to address both quality controls as well as brand safety, which has caused some advertisers to shy away from using TikTok to advertise in the past.

Francis Stones, the current head of TikTok's European brand safety, stated that the platform's review process now includes more than just images. The process now includes checking sounds, text, and emojis to make sure brands are not inadvertently associating with something that is potentially problematic.

Expansion of in-platform shopping

TikTok is also currently aiming to globally expand the live shopping functionality on the platform, according to Sofia Hernandez, global head of business marketing for TikTok.

These new features for live shopping will let brands capitalise on the viral status that they can gain from user-created content that the platform is famous for.

These fresh changes will open new opportunities for marketers by enabling them to target audiences more accurately.

Brands, as well as content creators, will be able to improve their exposure with less concern about negative associations, whilst also gaining a means to make sales.

Instagram to change the home feed, again

Meta CEO and Facebook founder Mark Zuckerberg has announced that Instagram will begin to test a full-screen redesign of the main home feed.

This announcement was made on an Instagram story, so don't be surprised if you missed it.

Here is a screenshot showing how the main feed currently looks:

Source: Instagram.com/Zuck, June 2022.

And here is how the main feed may potentially look in the future:

Source: Instagram.com/Zuck, June 2022.

This change will make Instagram look more like its rival, TikTok, with the bulk of the content filling an entire length of the screen.

There is a small area at the bottom of the screen for navigation, whilst every other factor is overlayed on the content itself.

Zuckerberg has said that Instagram will still focus on pictures and that the changes will not make the platform video only.

Source: Instagram.com/Zuck, June 2022.

The full announcement reads:

"We want to make it easier to discover content and connect with friends.

Photos are still an important part of Instagram, and we're working on ways to improve the way they show up in a full-screen feed too.

Some people will start seeing this test soon.

Exited to hear your feedback."

This change may mean that Instagram photos will have their dimensions changed, as they're currently not uploaded in full screen dimensions. The likelihood is that the sides of photos will get cropped off, so detail will be lost.

It's a risk, we may have entirely new Instagram and Facebook home feeds before the end of the year, so be prepared for changes.

You can read about Facebook's radical changes in our latest Digital Roundup.

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The Pros and Cons of Deepfake Technology, Google News gets a redesign, TikTok's Platform Strategy revealed, and Instagram's main feed to be revamped. - Intelligency Group | Digital Intelligence & Marketing

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June 24, 2022 Posted by Eliot Ferrier Uncategorized 0 thoughts on "The Pros and Cons of Deepfake Technology, Google News gets a redesign, TikTok's Platform Strategy revealed, and Instagram's main feed to be revamped." Deepfake technology is changing how different people perceive digital marketing.

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The social impact of deepfakes (disadvantages) 

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The social impact of deepfakes (disadvantages) 

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MAIN IDEA: The Social Impact of Deepfakes

ARGUMENTS FACTS:

-  video deepfakes have the potential to modify our memories

-   If you publish some thing in social media it will never    despair.

-   Distrust born of deepfakes would make a person actually believing what are they sawing

- video deepfakes have the potential to modify our memories

- Also deepfakes often cause psychological damage to the victim, reduce employability and affect relationships.

DIALOGUE/OPINION:

-  I thing that deepfakes are very scary and confusing because you don't know if its real or not.l You can not trust what are you seeing and can make you confuse of the reality. I am not the only one that thing that, althoug in this document that say: ''Also deepfakes often cause psychological damage to the victim, reduce employability and affect relationships.''

SUMMARY:

This videos called deepfakes are very influential and type of dangerous for our world although that deepfakes can cause psychological damage to the person that is watching the video or foto.

Deepfakes also have interpersonal consequences. As the VR studies say that video deepfakes have the potential to modify our memories and even implant false memories, and they can also modify a person’s attitudes to- ward the target of the deepfake

And one of the worst thing of deepfakes its that if someone or you publish some thing in social media it will never    despair and it will be there for ever even that you delate someone will have it and in the the corner most small it will be there.

Ann Liebert (Desember 3, 2021) The Social Impact of Deepfakes Guest editorial DOI: 10.1089/cyber.2021.29208.jth
https://par.nsf.gov/servlets/purl/10233906.

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ARGUMENTS
DIFFERENCES:
- method of production: shallowfake: manual
-involve machine learning:shallowfake does not require machine learning
- artificial intelligence:

Summary:

The biggest difference between both of them is that deepfakes are created through artificial intelligence and using a machine whilst shallowfakes are created without using them. Some other differences are:
1. On the creation of shallowfakes no knowledge is required and on deepfakes you need the learning of the usage of the machine.
2. Deepfakes are automatically created that's why it takes less time to be produced.Shallowfake as they need someone for them to be created they will take more time to be made.
3 etc.

Arnold, A (2020, april 21)What Is The Difference Between A Deepfake And Shallowfake?. Deepfake Now. retrieved (2023, january 23)from:https://deepfakenow.com/what-is-the-difference-between-a-deepfake-and-shallowfake/

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What Is The Difference Between A Deepfake And Shallowfake?

While deepfakes are commonly perceived as a major technological development of concern, less is known about so-called 'shallowfakes'. An interesting term that differentiates itself from the machine learning phenomenon of deepfake technology.

Understanding the difference between deepfakes and shallowfakes is an important part of understanding the problems in Artificial Intelligence (AI) with regards to manipulated media content as a whole. This article aims to shed some light on those distinctions and will further explore this new phenomenon known as 'shallowfakes'. First, let us explore what this term actually means.

What Is A Shallowfake?

A shallowfake, as opposed to a deepfake, is a method of manipulating media content without the use of machine learning technology and algorithmic systems. Instead, shallowfakes utilize simple video editing software to alter existing media content.

Shallowfakes do not require the use of deep-learning systems, which make them fundamentally different from the better-known deepfake phenomenon.

Note the removal of the word 'deep' in the term 'shallowfake'. With the exclusion of deep-learning systems from the process of media manipulation, the term 'shallow' would implicate an opposite (yet similar) method of creation.

The fact that shallowfakes aren't fabricated with the use of AI does not make them notably different in terms of quality or quantity, compared to the more commonly known 'deepfakes'. It merely indicates how the content was produced and which types of technologies were avoided in the production process (i.e. the avoidance of deep-learning AI).

Differences Between Deepfakes And Shallowfakes

Having a good overview of the terminology helps us humans understand them better, but most people will actually start understanding the concepts best when you directly place the two concepts against each other.

So when we look at the main differences between shallowfakes and deepfakes, the following factors of interest emerge to the surface immediately (pun intended):

Method of production: The clearest differentiation between the two concepts can be made within the production method. While shallowfakes apply general editing software and manual adaptation of pre-existing media content, deepfakes will apply algorithmic changes to pre-existing media content by feeding data to a computer program. So while the former is essentially based on manual human labor, the latter is based on automated iterations of a machine learning tool (i.e. a computer is doing all the work for us humans). This obviously also impacts the efficiency and speed of producing 'faked' media content pieces.

Involvement of deep machine learning: The very term 'shallow' implies the absence of deep machine learning efforts in the methods applied. So while shallowfakes do not require the use of deep learning tech, their deepfake counterparts absolutely will use these types of tools in the process of creating the falsified media content.

Involvement of artificial intelligence: While the creation of a shallowfake does require a tremendous amount of skill and effort, as well as a piece of software that enables a human to actually create the falsified media content, this process is arguably still manual in nature. It requires a human being to be completed, thus it is not artificial. On the other hand, deepfakes are automatically generated by a subtype of artificial intelligence, which would be the deep learning algorithms that are needed to develop the falsified media content.

Understanding the key differences between the concepts is the first step to combating them. The method of production of falsified media content is the most important aspect in this regard. Regardless of this, the similarities that can be found are striking and should also be addressed to gain an understanding of what we are dealing with. The next section will expand upon the most important similarities between the two closely related concepts.

Similarities Between Deepfakes And Shallowfakes

When you have two closely related concepts, the similarities are often easy to spot and don't need much extensive explanation. So without further ado, here are what we believe to be the main similar features of the shallowfake and deepfake concepts:

The goal is always to twist reality: Take a real piece of media content, put it in a blender, and spit out something new. In its core, this is what deepfakes and shallowfakes do. They will alter reality in some way, shape or form. This intent does not always need to be malicious, it can also be used for entertainment purposes (e.g. letting celebrities say or do anything you desire).

Both concepts utilize pre-existing media content: Regardless of the method used, the general rule of thumb is to use some type of image, video, or audio content and take that as the basis for the changes you'd like to implement. Shallowfakes place this in certain types of editing softwares, while deepfakes use algorithmic iterations to forge new types of media content creations.

Both can be a tool in a misinformation campaign: With the emphasis on 'can', because they can also be used for other intents and purposes. Misinformation campaigns will benefit equally from a shallowfake as they would from a deepfake. The main difference being the means by which they are created.

Both should be utilized with caution: When placing powerful manipulation tools like these software classes into the wrong hands, both could be dangerous and a major source of misinformation. They should be handled with care and not fall into the hands of criminals.

The above list of similarities is not exhaustive, but covers some essential aspects of the concepts discussed. That said, the question remains which one of the two concepts poses a greater threat to global societies right now, and further into the future.

Is A Shallowfake More Worrysome Than A Deepfake?

Both shallowfakes and deepfakes pose a certain danger when the tools fall into the wrong hands. Given the fact that we are dealing with often widely available software pieces that are distributed through the internet, it is safe to say that both concepts pose an immediate and severe threat to societies at large.

Comparing the methods of production, which is the main difference between shallowfakes and deepfakes, logic would dictate that identification of algorithmic changes are easier to create. Algorithms work with a certain pattern, and patterns can be detected by deepfake detection software.

On the other hand, the creation of shallowfakes requires some form of manual labor or manor intervention at some point during the creation process. This would logically mean that the time it takes to create a single piece of falsified media using this conceptual method would take considerably more time than if an AI would auto-generate the content for you.

Nevertheless, manual labor isn't based on patterns as much, which would make this creation method much harder to detect by a detection software. At least, when they are created professionally and with care. Otherwise it might even be possible to spot incoherencies with the naked eye.

Combating Falsified Media Content

Regardless of the production method, faked media content will remain a serious worry for the global societal system as a whole. When a single person with access to the internet and a computer can impact many thousands of lives with a few software tricks, it is clear people should combat that situation with every tool possible.

While the fight against shallowfakes and deepfakes is showing some promising progress, some experts fear that it will never be enough to catch up to the latest piece of technology that might fool the public into thinking something is real.

And perhaps that's not even what our main weapon should be against these falsified media pieces. Educating the public and learning young children to remain critical of what they are told, telling kids to keep asking questions wherever possible, and simply verifying claims with multiple sources will make the world of difference. Whether someone is faced with a deepfake or a shallowfake, this will be the key to sticking to the truth as much as humanly possible.

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What Is The Difference Between A Deepfake And Shallowfake? - Deepfake Now

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While deepfakes are commonly perceived as a major technological development of concern, less is known about so-called 'shallowfakes'. An interesting term that differentiates itself from the machine learning phenomenon of deepfake technology. Understanding the difference between deepfakes and shallowfakes is an important part of understanding...

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MAIN IDEA: The Pros and Cons of Deepfake Technology, Google News gets a redesign, TikTok’s Platform Strategy revealed, and Instagram’s main feed to be revamped.

ARGUMENTS FACTS:

- Unfortunately, deepfake technology has the potential to be used for malicious purposes just because of the sheer power behind it.

- For now, deepfake videos can convey an immersive marketing experience for a target audience through storytelling.

- For a marketer, this can mean a fake customer complaint, a fake product review, as well as a decrease in trust from customers = fake

- Deepfake technology may also increase the number of scams online, you could create false accusations or complaints against companies.

DIALOGE OR OPINION:

In this article  they explain us how dangerous it can arrive to be deepfakes ,it is against justice since for this reason they can occur has the potential to be used for malicious purposes just because of the sheer power behind it. Also you could create false accusations or complaints against companies. And go to jail for falsehoods and if not because they can denounce you, unless you are anonymous because if you are anonymous you would have to pay a fee so that they discover and investigate who it was and find the culprit.

SUMMARY

This videos called deepfakes are dangerous four our lives and also can take you to the gill.

Eliot Ferrier June 24, 2022 Advantages and Disadvantages to Deepfake Technologyhttps://www.intelligencygroup.com/blog/digital-roundup-24-6-22/

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Intelligency Group | Digital Intelligence & Marketing

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June 24, 2022 Posted by Eliot Ferrier Uncategorized 0 thoughts on "The Pros and Cons of Deepfake Technology, Google News gets a redesign, TikTok's Platform Strategy revealed, and Instagram's main feed to be revamped."

Advantages and Disadvantages to Deepfake Technology

Deepfake technology is changing how different people perceive digital marketing. Whilst marketers are still experimenting with ways to include deepfakes and deepfake technology into their strategies.

At the moment, deepfake videos can convey an immersive marketing experience for a target audience through storytelling.

Deepfake technology is a form of "deep learning", which means it's a machine learning type that lets a computer learn different tasks without being explicitly programmed to learn the said task. It also allows a computer to identify different objects in images. This is known as "computer vision"

Computer vision uses algorithms to recognise and identify different objects in both videos and images, for example, it can tell you if a cat appears in an image or not.

As well as the learning technologies and computer vision, creating a deepfake includes image synthesis. To explain the image synthesis process, it involves for instance:

Taking an image (like someone holding up a Union Jack flag).

Incorporating it with a different image (a person holding up an American flag).

And then making something entirely new from these two components (Someone holding up both flags).

Examples of Deepfakes in popular media

Some examples of deepfakes you may have seen in popular media or in real life you may have seen are as follows:

The Star Wars film Rogue One involved a performance from a deepfaked young Carrie Fisher.

A deepfake of the famous artist Salvador Dali was used to host a museum dedicated to him in Florida.

Deepfake technology even allowed a voice synthesised John F. Kennedy to read a speech he never got to make.

The benefits of Deepfake technology

Deepfake technology can provide the following benefits to marketers:

Lowers the cost of video campaigns.

Deepfake technology can create better omnichannel campaigns.

It can provide a hyper-personalised experience for customers.

Low-cost video campaigns

Marketers using deepfakes can save money on the budgets for their video campaigns using because you don't need an in-person actor.

Instead of using an in-person actor, a marketer can purchase a license for an actor's identity. You can then use previous digital recordings of the actor, insert the appropriate dialogue from a script for the actor and create a new video.

If you follow this process, you can also save time if you want to use other employees for ads.

To use an example, if you want to use your business' CEO for a new video campaign but they do not have time to record a new ad due to a busy schedule, you would only need a few previous recordings from past campaigns or interviews to make the new campaign.

As another benefit, you don't even need to reshoot the video if it's not what you wanted, you can just edit the deepfake accordingly.

Improved Omni-Channel campaigns

Since you don't need to use in-person actors for a campaign, you can repurpose existing content for various marketing channels for both less time and less money.

Instead of reshooting to fit different purposes for different channels, you can instead just edit or replace video cuts to create a paid social campaign.

Or, you can use voice synthesis to create new dialogue to create a podcast, radio, or streaming services ad.

Hyper-Personalisation

Deepfake technology has led to an upsurge in hyper-personalization.

A brand can provide individual customers with more relevant messaging and experiences based on their personal preferences, such as their ethnicity or skin colour.

For example, if a customer was of a different ethnicity than a brand's model for their marketing.

Deepfake technology would allow you to alter the skin tone of that model so the customer can experience what the product would look like on their skin tone.

This process can help your brand increase inclusivity and reach a broader market with campaigns.

Deepfake disadvantages

Unfortunately, deepfake technology has the potential to be used for malicious purposes just because of the sheer power behind it.

For a marketer, this can mean a fake customer complaint, a fake product review, as well as a decrease in trust from customers.

Lack of trust or ethics issues

The most obvious impact of deepfake technology is that it can be used to create a fake video, so ascertaining the authenticity of a piece of content has become more difficult.

If you could tell whether or not someone's image was actually them or not before viewing a video, it would still be impossible for anyone who didn't know the person on a personal level.

If a marketer or brand uses a deepfake video, a consumer may feel manipulated by the campaign and not trust the brand in the future.

For example, it's possible to use deepfakes to create a fake review, this would be considered unethical.

On the other hand, if a brand uses deepfakes to elevate the brand's storytelling, this would be considered ethical.

Scamming increases

Deepfake technology may also increase the number of scams online, you could create false accusations or complaints against companies.

A deepfake such as this is made by taking a recording of an actual incident and then altering the audio with new dialogue to mislead viewers.

An example of this happened recently, a German energy firm's U.K. subsidiary handed around £220,000 to a Hungarian bank account after a swindler used the power of deepfakes to synthesise the CEO's voice.

You could also use deepfakes to make product reviews that are fakes, to make your product more appealing than they actually are.

Google revamp Google News for Desktops

Google has redesigned Google News for desktops as of the 22nd of June.

The redesign is more customisable, so a user can meet their information needs in a personalised way, you can now:

Add filters

Customise topics you're interested in

And check more facts with an expanded fact-checker section

Google confirmed that the redesign was inspired by feedback from users of Google News. The update coincided with the 20th anniversary of Google News, which was one of the earliest tools that aggregated stories in real-time.

Here's a bit more about the update:

Filters

You are now able to add filters to the 'local news' section of Google News, this allows you to see stories from different locations all at once.

Customisable topics

You can now customise the topics that appear on your Google News home page. A user is able to add, remove, or even reorder topics.

Expanded fact-checker

Google News allows a user to gain more content in regards to a story in the expanded fact-checker section. Users will be able to see the original claim along with the fact-checked assessment from an independent body, separate to Google.

Google News returns to Spain

After eight years, Google News has also returned to the country of Spain.

Here's what the new homepage looks like:

TikTok Leaders discuss their platform strategy at Cannes

On the 20th of June, TikTok hosted its first company event at the 2022 Cannes Lions International Festival of Creativity.

Multiple leaders of the number one social media platform discussed their vision for TikTok's future and the challenges they may face.

The event is held annually at the resort town located on the French Riviera and is deemed one of the premier awards shows for the advertising industry, the execs from TikTok discussed multiple topics.

The topics included adding shopping functionality for brands, safety challenges, the impact that iOS' privacy changes brought to social media advertising, and the influencer/creator economy.

TikTok aim to win more advertisers, despite privacy changes

Blake Chandlee, who is TikTok's president of global operations solutions, revealed that the social media platform currently hosts hundreds of thousands of advertisers - but they aim for somewhere in the millions.

The heads at TikTok plan to achieve this by adding new tools to the platform and executing a program that has been developed in-house and is designed to report back on the quality of ads.

Just like other social media platforms, TikTok has been pursuing fresh and unique ways to target advertising in the wake of Apple's privacy changes.

Ray Cao, the managing director and global head of monetization product, strategy, and operation stated that TikTok's platform will include more contextual targeting for audiences.

Also, the platform is taking steps to address both quality controls as well as brand safety, which has caused some advertisers to shy away from using TikTok to advertise in the past.

Francis Stones, the current head of TikTok's European brand safety, stated that the platform's review process now includes more than just images. The process now includes checking sounds, text, and emojis to make sure brands are not inadvertently associating with something that is potentially problematic.

Expansion of in-platform shopping

TikTok is also currently aiming to globally expand the live shopping functionality on the platform, according to Sofia Hernandez, global head of business marketing for TikTok.

These new features for live shopping will let brands capitalise on the viral status that they can gain from user-created content that the platform is famous for.

These fresh changes will open new opportunities for marketers by enabling them to target audiences more accurately.

Brands, as well as content creators, will be able to improve their exposure with less concern about negative associations, whilst also gaining a means to make sales.

Instagram to change the home feed, again

Meta CEO and Facebook founder Mark Zuckerberg has announced that Instagram will begin to test a full-screen redesign of the main home feed.

This announcement was made on an Instagram story, so don't be surprised if you missed it.

Here is a screenshot showing how the main feed currently looks:

Source: Instagram.com/Zuck, June 2022.

And here is how the main feed may potentially look in the future:

Source: Instagram.com/Zuck, June 2022.

This change will make Instagram look more like its rival, TikTok, with the bulk of the content filling an entire length of the screen.

There is a small area at the bottom of the screen for navigation, whilst every other factor is overlayed on the content itself.

Zuckerberg has said that Instagram will still focus on pictures and that the changes will not make the platform video only.

Source: Instagram.com/Zuck, June 2022.

The full announcement reads:

"We want to make it easier to discover content and connect with friends.

Photos are still an important part of Instagram, and we're working on ways to improve the way they show up in a full-screen feed too.

Some people will start seeing this test soon.

Exited to hear your feedback."

This change may mean that Instagram photos will have their dimensions changed, as they're currently not uploaded in full screen dimensions. The likelihood is that the sides of photos will get cropped off, so detail will be lost.

It's a risk, we may have entirely new Instagram and Facebook home feeds before the end of the year, so be prepared for changes.

You can read about Facebook's radical changes in our latest Digital Roundup.

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The Pros and Cons of Deepfake Technology, Google News gets a redesign, TikTok's Platform Strategy revealed, and Instagram's main feed to be revamped. - Intelligency Group | Digital Intelligence & Marketing

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June 24, 2022 Posted by Eliot Ferrier Uncategorized 0 thoughts on "The Pros and Cons of Deepfake Technology, Google News gets a redesign, TikTok's Platform Strategy revealed, and Instagram's main feed to be revamped." Deepfake technology is changing how different people perceive digital marketing.

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MAIN IDEA: ''Desventajas de la tecnología deepfake''

ARGUMENTS FACTS:

- The lack of privacy and respect towards people, such as the creation of videos for people over 18 years of age with the face of celebrities, is a misuse of this technology.

- There is no method of authorization by the person whom they are impersonating.

- Lack of control to detect whether or not a video uses this type of technology.

-Creation of false news through deepfake.

- And it has mainly attacked celebrities by creating false news about them, according to IEBS, 86% of the Spanish population believes in this type of false news, 60% of Spaniards think they know how to recognize false news and in reality 14% are the one who fully recognizes it.

DIALOGUE/OPINION:

According to this article they say that a lot of celebrities (that are the most influenced in deepfakes) don't have to keep quiet and don't say nothing only because are famous and well it will desapears but never despairs on social media.

So what they have to do according to this document is report what its happening and whoo did published and at list it will desapears of the social network, but  other people could have it saved on their mobile for ever in fact that the computers of social media don't have access at you privacy.

There is not control to detect whether or not a video uses this type of technology. I thought that it will be a good ideas to before deliver som video od foto do like a control of deepfakes that  checks if its real or no. I n this form it will be no deepfakes.

SUMMARY:

- Information of deepfakes

Deepfake technology consists of replacing a face through the use of video technology, it is a way for a person's face to appear in a video even without their consent, created artificially.

One of the most interesting thing and we can do a graphic whit this information is :A lot of celebrities are victim of deepfakes according to the IEBS, 86% of the Spanish population and a 60% believes the deepfakes and a lot of Spanish persons thing that they can recognize a deepfake but in reality only a 14% knows to distinguish a real deepfake.

- Arguments agains deepfakes:

There is not control to detect whether or not a video uses this type of technology.

Alejandro Domínguez (23 of november 2021)¿Qué es la tecnología deepfake? Usos, ventajas y desventajas?https://www.marketinginsiderreview.com/tecnologia-deepfake-que-es-publicidad/

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La tecnología deepfake consiste en la sustitución de un rostro por medio del manejo de la tecnología de video es una manera de que la cara de una persona aparezca en un video incluso sin su consentimiento, creado de manera artificial. Y ha atacado principalmente a celebridades creando noticias falsas sobre ellas, según IEBS, el 86% de la población española cree en este tipo de noticias falsas, el 60% de los españoles piensa que sabe reconocer una noticia falsa y en realidad un 14 % es el que lo reconoce del todo.

Es la inteligencia artificial la que modifica el rostro de un individuo por el de otro, de ahí el binomio deepfake e Inteligencia Artificial. Este tipo de tecnología no solo modifica la apariencia de una persona, además de eso también con el desarrollo de la tecnología se puede suplantar también la voz de cualquier individuo.

Campañas de publicidad con tecnología deepfake

Vamos a ver ahora, en primer lugar, dos casos de campañas de publicidad con tecnología deepfake por parte de agencias españolas.

Caso Lola Flores: spot Con mucho acento de Cruzcampo

Uno de los métodos en los que el marketing a introducido este tipo de tecnología deepfake ha sido el particular caso de Lola Flores. En esta campaña, Ogilvy ¨resucitó¨ a Lola Flores para Cruzcampo. El nombre del spot fue Con mucho acento, y buscaban que Lola Flores pudiera expresar un mensaje de orgullo en ser como somos a las nuevas generaciones.

Para realizar este trabajo Ogilvy analizo muchísimas horas de material de la artista para que el producto final sea lo más realista posible.

Sra. Rushmore y Fundación Reina Sofía: Inteligencia Natural con Salvador Dalí

El caso de Sra. Rushmore colaborando para la fundación Reina Sofia es otro ejemplo de como se puede utilizar este tipo de tecnología en el campo del marketing y la publicidad. En este caso, realizaron la campaña Inteligencia Natural ¨resucitando¨ a Salvador Dalí para incentivar a que se investigue sobre las enfermedades neurodegenerativas como párkinson o Alzheimer.

Ventajas de la tecnología deepfake

¿Qué ventajas tiene el uso de la tecnología deepfake?

En lo que respecta al área del cine, se puede volver a la vida a artistas que han fallecido o cambiar el diálogo sin la necesidad de volver a grabar la escena.

En el campo del marketing, los casos de Sra. Rushmore y Ogilvy son casos en los que esta tecnología busca enviar un mensaje positivo a la sociedad.

En el área de los videojuegos, se busca más inversión para el desarrollo de este tipo de tecnología.

Desventajas de la tecnología deepfake

Y con respecto a las desventajas, mencionamos:

La falta de privacidad y respeto hacia las personas, como la creación de videos para mayores de 18 años con la cara de celebridades, es un mal uso de esta tecnología.

Creación de noticias falsas por medio del deepfake.

No existe un método de autorización por parte de la persona a la cual están suplantando la identidad.

Falta de control para detectar si un video utiliza o no este tipo de tecnología.

Medidas contra el mal uso del deepfake

En este contexto, Facebook y Microsoft han empezado a investigar sobre la detección de este tipo de videos y han creado el Deepfake Detection Challege, que es un reto para crear tecnología pueda avisar si un video tiene o no deepfake. Facebook ha financiado este proyecto con 10 millones de dólares.

Al ser una tecnología que esta empezando a desarrollarse, tiene cosas buenas y cosas malas. Para el sector del marketing es un nuevo campo en el cual se pueden crear nuevas campañas publicitarias con deepfake y abre un sin numero de posibilidades para nuevas acciones.

En el lado humano para el correcto uso de esta tecnología se deben poner limites de respeto y privacidad, de manera que no repercuta de manera negativa en la vida de las personas (como hacer un video viral humillando a una persona sin su consentimiento). Un ejemplo claro lo dio el Estado de California al prohibir la difusión de videos en donde se desprestigie a los candidatos políticos. Y en China el deepfake sin previo aviso es ilegal y está considerado como delito penal.

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Tecnología deepfake: qué es y usos del deepfake en publicidad

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La tecnología deepfake consiste en la sustitución de un rostro por medio del manejo de la tecnología de video es una manera de que la cara de una persona aparezca en un video incluso sin su consentimiento, creado de manera artificial.

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-The term "deepfake" comes from the underlying technology "deep learning,"
-(GANs), which detect and improves any flaws in the deepfake

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What is a deepfake? Everything you need to know about the AI-powered fake media

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Deepfakes use deep learning artificial intelligence to replace the likeness of one person with another in video and other digital media.

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ARGUMENTS:

-deepfakes are using artificial intelligence to modify events
- putting new words in celebrities mouths( example)
- many are pornographic
- mostly women
- all sorts of things: videos, audio(bank accounts), spying operation
- voice clones
- video and image manipulation
How it's made?
- thousands of pictures from the same person are compared and similar features are fusioned after you recover both faces to perform a face swap.
The program recovers the face and makes it do the action of the other person
- algorithms: encoder: fotos fusioner, decoder: building up
-also gan generator of synthetic images through noise.

- everyone makes all kinds of people
-commonly for advertisement
- mostly created on powerful graphic cards, high-end desktops, and computing power cloud.
- companies will make them for you
- take days, weeks, or hours
How to spot them?
-every time harder, they spot the problem and fix it.
- easier to find in low-quality ones
- lips synchronization, hair, skin tone, reflection

DIALOGUE/OPINION:
“The problem may not be so much the faked reality as the fact that real reality becomes plausibly deniable,” says Prof Lilian Edwards, a leading expert in internet law at Newcastle University.

Possible solution: artificial intelligence

- not always malicious
-entertainment: traduction of films

SHALLOW FAKES:
A shallowfake, as opposed to a deepfake, is a method of manipulating media content without the use of a machine, just simple software

SUMMARY
What are deepfakes?
Deepfakes are using artificial intelligence to modify events like putting new words in celebrities mouths. Many are pornographic most of them are women. Deepfakes are not necessarily photos, they can also be videos, audio, etc.
How it's made?
Thousands of pictures from the same person are compared and the similar features chosen are fusioned, afterwards, you recover both faces to perform a face swap. The program recovers the face and makes it do the action the other person was performing. All this process is due to the use of the following algorithms: encoder: photos fusioner, decoder: building up or the gan (generator of synthetic images through a noise.)
Who makes it?
everyone can make them, all kinds of people. commonly deepfakes are made for advertisement. Most of them are created on powerful graphic cards, high-end desktops, and computing power cloud, or if you wish a company will create it for you. The process could take weeks, days, or hours, obviously, with better equipment, less time is required.
How to spot them?
spotting deepfake is every time harder. People investigate how it happens and when they spot the problem and fix it so people can't find them. low-quality ones are easier to find due to the image blur or other factors affecting such as lips synchronization, skin tone, reflection, etc.

Sample, I. (2020b, January 13). What are deepfakes – and how can you spot them? The Guardian. retrieved from: https://www.theguardian.com/technology/2020/jan/13/what-are-deepfakes-and-how-can-you-spot-them

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What is a deepfake?

Have you seen Barack Obama call Donald Trump a " complete dipshit", or Mark Zuckerberg brag about having " total control of billions of people's stolen data", or witnessed Jon Snow's moving apology for the dismal ending to Game of Thrones? Answer yes and you've seen a deepfake. The 21st century's answer to Photoshopping, deepfakes use a form of artificial intelligence called deep learning to make images of fake events, hence the name deepfake. Want to put new words in a politician's mouth, star in your favourite movie, or dance like a pro? Then it's time to make a deepfake.

What are they for?

Many are pornographic. The AI firm Deeptrace found 15,000 deepfake videos online in September 2019, a near doubling over nine months. A staggering 96% were pornographic and 99% of those mapped faces from female celebrities on to porn stars. As new techniques allow unskilled people to make deepfakes with a handful of photos, fake videos are likely to spread beyond the celebrity world to fuel revenge porn. As Danielle Citron, a professor of law at Boston University, puts it: "Deepfake technology is being weaponised against women." Beyond the porn there's plenty of spoof, satire and mischief.

Is it just about videos?

No. Deepfake technology can create convincing but entirely fictional photos from scratch. A non-existent Bloomberg journalist, "Maisy Kinsley", who had a profile on LinkedIn and Twitter, was probably a deepfake. Another LinkedIn fake, "Katie Jones", claimed to work at the Center for Strategic and International Studies, but is thought to be a deepfake created for a foreign spying operation.

Audio can be deepfaked too, to create " voice skins" or " voice clones" of public figures. Last March, the chief of a UK subsidiary of a German energy firm paid nearly £200,000 into a Hungarian bank account after being phoned by a fraudster who mimicked the German CEO's voice. The company's insurers believe the voice was a deepfake, but the evidence is unclear. Similar scams have reportedly used recorded WhatsApp voice messages.

A comparison of an original and deepfake video of Facebook chief executive Mark Zuckerberg. Photograph: The Washington Post via Getty Images

How are they made?

University researchers and special effects studios have long pushed the boundaries of what's possible with video and image manipulation. But deepfakes themselves were born in 2017 when a Reddit user of the same name posted doctored porn clips on the site. The videos swapped the faces of celebrities - Gal Gadot, Taylor Swift, Scarlett Johansson and others - on to porn performers.

It takes a few steps to make a face-swap video. First, you run thousands of face shots of the two people through an AI algorithm called an encoder. The encoder finds and learns similarities between the two faces, and reduces them to their shared common features, compressing the images in the process. A second AI algorithm called a decoder is then taught to recover the faces from the compressed images. Because the faces are different, you train one decoder to recover the first person's face, and another decoder to recover the second person's face. To perform the face swap, you simply feed encoded images into the "wrong" decoder. For example, a compressed image of person A's face is fed into the decoder trained on person B. The decoder then reconstructs the face of person B with the expressions and orientation of face A. For a convincing video, this has to be done on every frame.

Comparing original and deepfake videos of Russian president Vladimir Putin. Photograph: Alexandra Robinson/AFP via Getty Images

Another way to make deepfakes uses what's called a generative adversarial network, or Gan. A Gan pits two artificial intelligence algorithms against each other. The first algorithm, known as the generator, is fed random noise and turns it into an image. This synthetic image is then added to a stream of real images - of celebrities, say - that are fed into the second algorithm, known as the discriminator. At first, the synthetic images will look nothing like faces. But repeat the process countless times, with feedback on performance, and the discriminator and generator both improve. Given enough cycles and feedback, the generator will start producing utterly realistic faces of completely nonexistent celebrities.

Who is making deepfakes?

Everyone from academic and industrial researchers to amateur enthusiasts, visual effects studios and porn producers. Governments might be dabbling in the technology, too, as part of their online strategies to discredit and disrupt extremist groups, or make contact with targeted individuals, for example.

What technology do you need?

It is hard to make a good deepfake on a standard computer. Most are created on high-end desktops with powerful graphics cards or better still with computing power in the cloud. This reduces the processing time from days and weeks to hours. But it takes expertise, too, not least to touch up completed videos to reduce flicker and other visual defects. That said, plenty of tools are now available to help people make deepfakes. Several companies will make them for you and do all the processing in the cloud. There's even a mobile phone app, Zao, that lets users add their faces to a list of TV and movie characters on which the system has trained.

Chinese face-swapping app Zao has caused privacy concerns. Photograph: Imaginechina/SIPA USA/PA Images

How do you spot a deepfake?

It gets harder as the technology improves. In 2018, US researchers discovered that deepfake faces don't blink normally. No surprise there: the majority of images show people with their eyes open, so the algorithms never really learn about blinking. At first, it seemed like a silver bullet for the detection problem. But no sooner had the research been published, than deepfakes appeared with blinking. Such is the nature of the game: as soon as a weakness is revealed, it is fixed.

Poor-quality deepfakes are easier to spot. The lip synching might be bad, or the skin tone patchy. There can be flickering around the edges of transposed faces. And fine details, such as hair, are particularly hard for deepfakes to render well, especially where strands are visible on the fringe. Badly rendered jewellery and teeth can also be a giveaway, as can strange lighting effects, such as inconsistent illumination and reflections on the iris.

Governments, universities and tech firms are all funding research to detect deepfakes. Last month, the first Deepfake Detection Challenge kicked off, backed by Microsoft, Facebook and Amazon. It will include research teams around the globe competing for supremacy in the deepfake detection game.

Facebook last week banned deepfake videos that are likely to mislead viewers into thinking someone "said words that they did not actually say", in the run-up to the 2020 US election. However, the policy covers only misinformation produced using AI, meaning "shallowfakes" (see below) are still allowed on the platform.

A woman watches a deepfake video of Donald Trump and Barack Obama. Photograph: Rob Lever/AFP via Getty Images

Will deepfakes wreak havoc?

We can expect more deepfakes that harass, intimidate, demean, undermine and destabilise. But will deepfakes spark major international incidents? Here the situation is less clear. A deepfake of a world leader pressing the big red button should not cause armageddon. Nor will deepfake satellite images of troops massing on a border cause much trouble: most nations have their own reliable security imaging systems.

There is still ample room for mischief-making, though. Last year, Tesla stock crashed when Elon Musk smoked a joint on a live web show. In December, Donald Trump flew home early from a Nato meeting when genuine footage emerged of other world leaders apparently mocking him. Will plausible deepfakes shift stock prices, influence voters and provoke religious tension? It seems a safe bet.

Will they undermine trust?

The more insidious impact of deepfakes, along with other synthetic media and fake news, is to create a zero-trust society, where people cannot, or no longer bother to, distinguish truth from falsehood. And when trust is eroded, it is easier to raise doubts about specific events.

Last year, Cameroon's minister of communication dismissed as fake news a video that Amnesty International believes shows Cameroonianthe country's soldiers executing civilians.

Donald Trump, who admitted to boasting about grabbing women's genitals in a recorded conversation, later suggested the tape was not real. In Prince Andrew's BBC interview with Emily Maitlis, the prince cast doubt on the authenticity of a photo taken with Virginia Giuffre, a shot her attorney insists is genuine and unaltered.

"The problem may not be so much the faked reality as the fact that real reality becomes plausibly deniable," says Prof Lilian Edwards, a leading expert in internet law at Newcastle University.

As the technology becomes more accessible, deepfakes could mean trouble for the courts, particularly in child custody battles and employment tribunals, where faked events could be entered as evidence. But they also pose a personal security risk: deepfakes can mimic biometric data, and can potentially trick systems that rely on face, voice, vein or gait recognition. The potential for scams is clear. Phone someone out of the blue and they are unlikely to transfer money to an unknown bank account. But what if your "mother" or "sister" sets up a video call on WhatsApp and makes the same request?

What's the solution?

Ironically, AI may be the answer. Artificial intelligence already helps to spot fake videos, but many existing detection systems have a serious weakness: they work best for celebrities, because they can train on hours of freely available footage. Tech firms are now working on detection systems that aim to flag up fakes whenever they appear. Another strategy focuses on the provenance of the media. Digital watermarks are not foolproof, but a blockchain online ledger system could hold a tamper-proof record of videos, pictures and audio so their origins and any manipulations can always be checked.

Are deepfakes always malicious?

Not at all. Many are entertaining and some are helpful. Voice-cloning deepfakes can restore people's voices when they lose them to disease. Deepfake videos can enliven galleries and museums. In Florida, the Dalí museum has a deepfake of the surrealist painter who introduces his art and takes selfies with visitors. For the entertainment industry, technology can be used to improve the dubbing on foreign-language films, and more controversially, resurrect dead actors. For example, the late James Dean is due to star in Finding Jack, a Vietnam war movie.

What about shallowfakes?

Coined by Sam Gregory at the human rights organisation Witness, shallowfakes are videos that are either presented out of context or are doctored with simple editing tools. They are crude but undoubtedly impactful. A shallowfake video that slowed down Nancy Pelosi's speech and made the US Speaker of the House sound slurred reached millions of people on social media.

In another incident, Jim Acosta, a CNN correspondent, was temporarily banned from White House press briefings during a heated exchange with the president. A shallowfake video released afterwards appeared to show him making contact with an intern who tried to take the microphone off him. It later emerged that the video had been sped up at the crucial moment, making the move look aggressive. Acosta's press pass was later reinstated.

The UK's Conservative party used similar shallowfake tactics. In the run-up to the recent election, the Conservatives doctored a TV interview with the Labour MP Keir Starmer to make it seem that he was unable to answer a question about the party's Brexit stance. With deepfakes, the mischief-making is only likely to increase. As Henry Ajder, head of threat intelligence at Deeptrace, puts it: "The world is becoming increasingly more synthetic. This technology is not going away."

This article was amended on 3 March 2023 to correct a misspelling of Jim Acosta's surname.

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What are deepfakes - and how can you spot them?

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AI-generated fake videos are becoming more common (and convincing). Here's why we should be worried

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Deepfakes have many positive use cases. Deepfakes technology advances many benefits in some areas, such as: Education, film production, nd artistic expression.

Education:
It's a fact that schools nowadays use social media in their classes to make them more productive and interesting for kids. Teachers usually use internet videos to make their subject more appealing for their studients, well deepfakes can make education even better.
Deepfakes can bring historical figures back to life  for a more appealing and interactive classroom. A video were a famous historical person appears can have more impact, motivation on studying, and will be a better learning tool.

Art:
Cultural and entertainment businesses can take advantage of deepfakes for many artistic purposes. For example, in a Dalí Museum, there was an exhibition called Dali lives, in this exhibition Dalí was brought back to life using deepfake technology. Visitors could interact with him and take selfies with him.
This confirms that deepfakes make wonderfull things in the art history.

Autonomy and expression:
Deepfakes can help human rights activists to protest anonymously in oppressive regimes. Using this technology to report atrocities on social media can be very empowering for citizen activists. Deepfake can anonymize voice and faces to protect their privacy to avoid any problem.

Summary:
Deepfakes are a great tool to improve education techniques, amplify art exhibitions and experiances and help protestant activists to share their opinion in a safe way.

Ashish, J (August 14, 2020) Positive Use Cases of Synthetic Media (aka Deepfakes). Rertrieved (January 31, 2023) from https://towardsdatascience.com/positive-use-cases-of-deepfakes-49f510056387

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Technology is an excellent enabler and can be very empowering. New ideas and capabilities for empowerment have emerged because of the advancements in data science and Artificial intelligence. AI can create possibilities and opportunities for all people, regardless of who they are and how they listen, speak, or communicate.

The Book is now available at Amazon - https://www.amazon.com/Deepfakes-aka-Synthetic-Media-Humanity-ebook/dp/B0B846YCNJ/

AI-Generated Synthetic media, also known as deepfakes, have many positive use cases. AI-Generated Synthetic Media, aka Deepfakes, advances have clear benefits in certain areas, such as accessibility, education, film production, criminal forensics, and artistic expression.

In this article, I will explore some of the positive use cases of deepfakes. I firmly believe that as technology evolves and societies adjudicate the deepfake phenomenon, most of the use cases of deepfakes will be to improve people's lives and empower communities and institutions.

Technology can give people a voice, purpose, and an ability to make impact at scale and with speed.

Accessibility

Artificial intelligence can build tools to hear, see, and soon with Artificial General Intelligence (AGI), reason with increasing accuracy. AI-Generated Synthetic media can help make the accessibility tools smarter and, in some cases, even affordable and personalizable, which can help people augment their agency and gain independence. Technology, specifically AI-based tools, can bring accessible solutions to all.

Deepfake can accelerate the accessibility quest to improve equity.

Microsoft's Seeing.ai and Google's Lookout leverage AI for recognition and synthetic voice to narrate objects, people, and the world. AI-Generated synthetic media can power personalized assistive navigation apps for pedestrian travel.

Canetroller, a haptic cane controller, can help visually impaired navigate the virtual reality world with simulation and cane interactions. It can enable people with visual impairments to navigate a virtual environment by transferring their cane skills into the virtual world. The technology can help bring equity and empowerment.

For the Amyotrophic Lateral Sclerosis (ALS) patients' synthetic voice is very empowering as the horrible disease impacts the ability to speak, communicate, and motor skills. Imagine being able to talk in your own voice with your loved ones even after losing the ability to speak. Team Gleason, which provides technology, equipment, and services for people living with ALS, is working with technology companies to enable and develop AI-Generated synthetic media scenarios for people living with ALS (Lou Gehrig's Disease).

There are other use cases of Synthetic voice. VOCALiD leverages voicebank and proprietary voice blending technology to create unique vocal personas for any device that turns text into speech for those with speech and hearing difficulties. Synthetic voice is also essential to enable such patients to be independent. Deepfake voice can also help with speech impediments since birth.

Education

Deepfake technology facilitates numerous possibilities in the education domain. Schools and teachers have been using media, audio, video in the classroom for quite some time. Deepfakes can help an educator to deliver innovative lessons that are far more engaging than traditional visual and media formats.

AI-Generated synthetic media can bring historical figures back to life for a more engaging and interactive classroom. A synthetic video of reenactments or voice and video of a historical figure may have more impact, engagement, and will be a better learning tool. For example, JFK's resolution to end the cold was speech, which was never delivered, was recreated using synthetic voice with his voice and speaking style will clearly get students to learn about the issue in a creative way.

Synthetic human anatomy, sophisticated industrial machinery, and complex industrial projects can be modeled and simulated in a mixed reality world to teach students and collaborate using Microsoft Hololens.

Creative use of synthetic voice and video can increase overall success and learning outcomes with scale and limited cost.

Art

For many decades, Hollywood has used high-end CGI, VFX, and SFX technologies to create artificial but believable worlds for compelling storytelling. In the 1994's movie, Forest Gump, the protagonist meets JFK and other historical figures. The creation of the scenario and effect was accomplished using CGI and different techniques with millions of dollars. These days sophisticated CGI and VFX technologies are used in movies to generate synthetic media for telling a captivating story.

Deepfakes can democratize the costly VFX technology as a powerful tool for independent storytellers at a fraction of the cost.

Deepfakes can be a great tool to realistically realize the primary tenant of reflection, stretching, contortion, and appropriation of real events in comedy or parody. AI-Generated synthetic media can bring unprecedented opportunities in the entertainment business, and we see a lot of realization of the opportunity by independent creators or YouTube. Some great examples of movie deepfake using GANS are YouTube creators like ctrl shift face and shamook.

Cultural and entertainment businesses can use deepfakes for artistic purposes. Dalí Museum in St. Petersburg, Florida, created an exhibition called Dalí lives, bringing him back to life using deepfakes for visitors to interact and take a selfie with surrealist painter Salvador Dalí. Similarly, Samsung's AI lab in Moscow brought Mona Lisa to life by using Deepfake technology.

In the video gaming industry, AI-generated graphics and imagery can accelerate the speed of game creation. Nvidia demoed a hybrid gaming environment created by deepfakes and is working on bringing it to market soon.

Audio storytelling and book narration is another good use case of synthetic voice. The author's synthetic voice font can be used to create the author's book's audio format. Businesses can use synthetic voice-overs of the same actor in different languages to broaden the reach of their content. The creative voice technology to implement the above scenarios must be used ethically and responsibly[ 1] with a robust consent framework as it has a direct impact on the livelihood and agency of a voice artist.

Autonomy & Expression

Synthetic media can help human rights activists and journalists to remain anonymous in dictatorial and oppressive regimes. Using technology to report out atrocities on traditional or social media can be very empowering for citizen journalists and activists. Deepfake can be used to anonymize voice and faces to protect their privacy.

Deepfakes may be used to create avatar experiences for individuals online for self-expression. Personal digital avatar gives autonomy and can help individuals to extend their purpose, ideas, and belief and enable self-expression, which otherwise may be difficult for some[ 2]. Individuals suffering from certain physical or mental disabilities could use synthetic avatars of themselves for online self-expression.

Deepfakes can give individuals new tools for self-expression and integration in the online world.

Deep Empathy, a UNICEF and MIT project, utilizes deep learning to learn the characteristics of Syrian neighborhoods affected by conflict. It then simulates how cities around the world would look amid a similar conflict. The project created synthetic war-torn images of Boston, London and other key cities around the world to help increase empathy for victims of a disaster region.

There are voice technology startups that will create synthetic voice as a new kind of bereavement therapy or help people remember the deceased and connect with them.

Reach and Message Amplification

In April last year, a health charity partnered with David Beckham to produce a video and voice campaign to help end malaria. In the "malaria no more" campaign, Beckham spoke nine languages seamlessly for public appeal. The social campaign was a great example of using deepfakes to broaden the reach of a public message. Synthesia, the company behind the Beckham video, and VOCALiD, a voice startup, create tools to natively localize video and audio content for learning tools, brand marketing, audience engagement, customer service, and public messaging to broaden the reach and amplification of the message.

Text to Speech models can assist podcast creation by podcaster's voice font to create synthetic audio from text with fewer mistakes and more speed.

Deepfakes can be used by influencers to broaden their reach and increase their audience. Using deepfakes, a brand can reach many customers with highly targeted and personalized messaging. Zalando, with Cara Delevigne executed a campaign, which can become even more personal with influencer video shots and voice fonts. Lil Miquela, a CG 19-year old "taco truck expert" and social media personality, has 2.4m followers. Digital Models, AI-Generated deepfakes are becoming a new trend in fashion and brand marketing.

AI Foundation is creating personal AI for influencers and celebrities, with their consent, to engage and amplify their reach with the audience, create deeper engagement with the fans, and deliver personal experiences at scale. AI Foundation recently launched a personal digital avatar of Deepak Chopra.

Deepfakes will take influencer marketing to another level.

A few days ahead of the Delhi elections, a politician in India created a deepfake to reach out to different linguistic voters. It was the first documented use of a deepfake by a political party for campaigning purposes.

Public Safety & Digital reconstruction

Reconstructing the crime scene is a forensic science and art, using inductive and deductive reasoning and evidence. AI-Generated synthetic media can help reconstruct the scene with the interrelationship of spatial and temporal artifacts. In 2018, a team of civil investigators used cell phone videos, autopsy reports, and surveillance footage to reconstruct a virtual crime scene.

Innovation

Data and AI are helping in digital transformation and automation in many industries. Deepfake or AI-Generated Synthetic media is becoming a foundation to engage customers and provide personalized value. Reuters demonstrated a fully AI-Generated deepfake presenter-led sports news summary system to help personalize news at scale. In the fashion retail business, deepfakes can help turn customers into models by virtually trying out the latest apparel and accessories[ 3].

An exciting app will capture customers' faces, bodies, and even micro mannerisms to generate a deepfake and try out the latest fashion trends. Data Grid, a Japanese artificial intelligence company, created an artificial intelligence engine that automatically generates virtual models for advertising and fashion. The deepfake approach gives the ability for brands to have a virtual trial room for users to experience products before buying them. Retail brands can also engage customers at home by creating an AI-generated mixed reality world to try, furnish, and decorate their space.

Microsoft Hololens opens enterprise and industrial mixed reality innovative scenarios to provide value. Product Visualize lets customers explore an industrial product visually. Teams and technicians can work together in industrial products together with Remote Assist, an mixed reality collaboration tool.

AI technologies can also be used to enhance and improve the resolution of low-resolution images. These enhancing techniques to build deepfakes are super useful for older media or media created by low-resolution lenses. Google published a paper to create high-resolution images using Latent Adversarial Generator. Microsoft Research published an article to enhance and fix imperfections of the degraded photos using triplet Domain Translation Networks.

Synthetic data can empower medical researchers to develop new ways of treating diseases without actual patient data. They can use AI-Generated synthetic data for the training model to yield similar results. NVIDIA, MGH & BWH Center for Clinical Data Science and the Mayo Clinic showed how they used GANs-algorithms that iterate and improve by competing against each other-to create synthetic brain MRI images with tumors[ 4]. By training algorithms on synthetic medical images and combining them with just 10% real images, they became just as good at spotting tumors as algorithms trained only on real images.

Deepfakes may also mitigate some of the patient privacy concerns.

A vast amount of training data is required by deep learning algorithms to create an efficient model and even to develop deepfake detection models. Since there are not many real-life deepfakes, companies like Facebook had to create synthetic media and deepfakes for the Facebook Deepfake detection challenge[ 5]

Conclusion

Deepfakes provide an excellent opportunity to have a positive impact on our lives. AI-Generated synthetic media can be very empowering and a great enabler. Deepfakes can give people a voice, purpose, and ability to impact scale and speed. New ideas and capabilities for empowerment have emerged from all walks of life, from art, expression, and public safety to accessibility and business. Deepfakes can create possibilities for all people irrespective of their limitations by augmenting their agency

However, as access to synthetic media technology increases, so does the risk of exploitation. Deepfakes can be used to damage reputations, fabricate evidence, defraud the public, and undermine trust in democratic institutions.

[In the next post, I will discuss some of the malicious use cases of deepfakes].

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Technology is an excellent enabler and can be very empowering. New ideas and capabilities for empowerment have emerged because of the advancements in data science and Artificial intelligence. AI can...

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In this video we can see how it works and also the bad that are deepfakes for our society. Also show us that now in todays days its very difficult to detect if its real or not as well they show us how deepfakes are create.

Bloomberg Quicktake (september 18 of 2021) It’s Getting Harder to Spot a Deep Fake Video.https://www.youtube.com/watch?v=gLoI9hAX9dw

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It’s Getting Harder to Spot a Deep Fake Video