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Forbes: GANs And Deepfakes Could Revolutionize The Fashion Industry

Over the last few years, the field of artificial intelligence (AI) has grown by leaps and bounds. Researchers are working on driverless cars, voice-controlled smart assistants and image recognition that can spot tumors in photos better than radiologists.

On the retail front, AI is already changing how customers shop online. Algorithms are already suggesting items you might like based off of previous searches or purchases. The Echo Look is Amazon’s “style assistant” that takes a photo of your outfit and makes fashion recommendations that are conveniently available for sale on Amazon. And AI will transform online commerce for retailers in an even more major way in the near future — realistic digital models may eventually replace humans.

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The Daily Dot: This deepfake takes Bill Hader’s Schwarzenegger impression to the next level

A new deepfake combining comedian Bill Hader and action star Arnold Schwarzenegger is going viral online. The video, produced by a deepfake creator known as Ctrl Shift Face, has already been viewed more than 300,000 times on YouTube alone.

The clip shows Hader during a 2014 interviewwith late-night talk show host Conan O’Brien doing his best impression of the former California governor. But this time, Hader’s impression is accompanied by Schwarzenegger’s actual face.

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The Verge: Deepfake Salvador Dalí takes selfies with museum visitors

Surrealist painter Salvador Dalí once said in an interview, “I believe in general in death, but in the death of Dali, absolutely not.” Now, the Dalí Museum in St. Petersburg, Florida, has worked to fulfill the painter’s prophecy by bringing him back to life — with a deepfake.

The exhibition, called Dalí Lives, was made in collaboration with the ad agency Goodby, Silverstein & Partners (GS&P), which made a life-size re-creation of Dalí using the machine learning-powered video editing technique. Using archival footage from interviews, GS&P pulled over 6,000 frames and used 1,000 hours of machine learning to train the AI algorithm on Dalí’s face. His facial expressions were then imposed over an actor with Dalí’s body proportions, and quotes from his interviews and letters were synced with a voice actor who could mimic his unique accent, a mix of French, Spanish, and English.

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The Verge: This AI-generated Joe Rogan fake has to be heard to be believed

"The most realistic AI voice clone we’ve heard”

Up until now, these voices have been noticeably stilted and robotic, but researchers from AI startup Dessa have created what is by far the most convincing voice clone we’ve ever heard — perfectly mimicking the sound of MMA-commentator-turned-podcaster Joe Rogan.

Listen to clips of Dessa’s AI Rogan, and take a quiz on the company’s site to see if you can spot the difference between real Rogan and faux Rogan.

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CNet: Joe Rogan calls AI that replicated his voice 'terrifyingly accurate’

"I just listened to an AI generated audio recording of me talking about chimp hockey teams and it's terrifyingly accurate," Rogan wrote on Friday. "At this point, I've long ago left enough content out there that they could basically have me saying anything they want, so my position is to shrug my shoulders and shake my head in awe, and just accept it. The future is gonna be really f---ing weird, kids."

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Bellingcat: When Old Videos Resurface: The Curious Tale Of A 2005 Hezbollah Operation

Online videos may be today’s most efficient information vector. They are the closest thing to a real-life event happening in front of your eyes, as opposed to pictures, texts, or even a combination of both. Nevertheless, the emergence of maliciously altered videos and deepfakes puts us at risk of being dangerously misinformed. To counter this, sound forensic methods supported by specifically designed signal processing tools and artificial intelligence are being used to detect most falsifications.

Yet often, misinformation conducted via video does not rely on a technical alteration but rather on false claims that accompany the footage. This could be achieved through a misleading title, a falsely alleged geographical location, or through anachronism, which consists in attributing filmed events to a false period. Anachronism can also include the resurfacing of older videos that not only add to the spread of fake news but affect open source research.

The following investigation shows how an unaltered video, which depicted a real event that happened at an originally correctly claimed date, confused the audience and online investigators by re-surfacing under a different title during a significantly more susceptible political context.

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Scoop: Resist rushing to new “deepfake” law, study finds

Government should be cautious about moving to new law for “deepfake” audio and video, a new Law Foundation-backed study released today says.

Co-author Tom Barraclough predicts that deepfake and other synthetic media will be the next wave of content causing concern to government and tech companies following the Christchurch Call. While it is tempting to respond with new law, the study finds that the long list of current legislation covering the issues may be sufficient.

Companion piece: Deepfake and the law - Expert Reaction

A new report funded by the Law Foundation cautions against rushing to develop new laws to respond to synthetic media. Instead, the authors say there is already a long list of laws that cover the issue, including the Privacy Act, Copyright Act and the Harmful Digital Communication Act.

The SMC asked experts to comment on the report and deepfakes more broadly.

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Computer Business Review: California Moves Closer to Making Deepfake Pornography Illegal

A Hollywood union has thrown its weight behind legislation in California’s Senate that would make pornographic deepfakes a crime.

Bill SB564, which has passed California’s Judiciary Committee, is being sponsored by The Screen Actors Guild‐American Federation of Television and Radio Artists (SAG-AFTRA).

It extends the definition of a consenting individual to include not just an actual act, or a performance, but a “realistic digitized performance in which the individual did not actually perform”.

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Variety: SAG-AFTRA, Adam Schiff Express Alarm on ‘Deep Fake’ Technologies

Members of SAG-AFTRA and Los Angeles Congressman Adam Schiff sounded alarms Monday about the proliferation of “deep fake” technologies — realistic digital forgeries including sex scenes.

“We have a medium in which lies and fear travel faster than anything else and this has happened practically overnight,” said Schiff during a two-hour panel discussion at union headquarters in Los Angeles.

“I am deeply concerned that deep-fakes could be used to spread disinformation or interfere in our elections, and we have already seen these technologies used to harass, exploit and invade the privacy of private citizens, particularly women,” said Schiff. “We have another election coming up and it’s more important than ever for the public to distinguish between what is real and what is fake. Our democracy depends on it.”

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Axios: Deepfakes for good

What do you do with a technology that could restore the voices of people who have lost theirs — but also sow chaos and incite violence?

What's happening: A growing group of companies are walking this tightrope, betting they can deploy deepfakes — videos, audio and photos that are altered or generated by AI — as a force for good, or at least non-malign purposes, while keeping the technology away from those who would use it to do harm.

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Deepfake videos arguably have become a growing concern in politics ahead of the upcoming elections. But now, someone is trying to use them as a tool to sway agency recruiters by creating faux recommendations from some of the industry’s biggest names.

Andrew Tyukavkin, an ECD at Publicis Latvia and Lithuania, deepfaked video recommendations from CP&B Chief Creative Engineer Alex Bogusky, Droga5 Founder and Creative Chairman David Droga, Publicis Groupe CEO Arthur Sadoun and Hasan & Partners CEO/CCO Eka Ruola to beef up his portfolio.

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Security Intelligence: Facial Recognition, Deepfakes and Biometric PII: Preparing for a Future of Faceless Threats

As I anxiously awaited the last season of “Game of Thrones,” I found myself thinking about my favorite character from the series: the assassin who belongs to the mysterious cult of “Faceless Men.” Specifically, I thought about his ability to change his face and appearance at will, and how this character parallels the emergence of deepfake images and videos and the science of facial recognition.

After some cursory research into the creation of deepfake videos and a few of the forensic tricks used to distinguish real videos from the ones created by generative adversarial networks (GANs) backed by artificial intelligence (AI) algorithms, I considered how these deepfakes would impact the field of cyberthreat intelligence and the intelligence community as a whole. Then I came up with a couple of ways artificially intelligent systems could have a positive impact on the intelligence community.

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Futurism: Amazing AI Generates Entire Bodies of People Who Don’t Exist

A new deep learning algorithm can generate high-resolution, photorealistic images of people — faces, hair, outfits, and all — from scratch.

The AI-generated models are the most realistic we’ve encountered, and the tech will soon be licensed out to clothing companies and advertising agencies interested in whipping up photogenic models without paying for lights or a catering budget. At the same time, similar algorithms could be misused to undermine public trustin digital media.

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Deepfakes and other AI-generated images have become commonplace the algorithms that churn them out have become widespread.

On one sugar-coated hand, this means cooler movieand video game visual effects. On the other hand, it means that bad actors can produce photorealistic propaganda, fake porn of real people, or other convincing but fake media.

That’s why two University of Washington scientists created a website, “,” which is meant to train people to spot the telltale signs that an alleged photo was actually built by an algorithm — by asking them to guess which of two side-by-side photos a real person and which is an AI-created dupe.

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Fast Company: Startups are racing to commercialize DeepFakes’s powerful, internet-breaking AI

12 months later, Deepfakes is proving prescient. A new wave of companies is looking to cash in on similar technology, leveraging machine learning to do unprecedented things in media–from faking voices, to faking avatars, to faking highly detailed photographs. I spoke with people at three of these companies, each of which is working to develop commercial applications. In addition to figuring out a sustainable business model for their software, each of them must reckon with the power of this still-emerging tech and how to protect society from their own tools, rather than subvert it.

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TechRadar: Combating deepfakes with voice biometric technology

Just as news is increasingly delivered digitally, so are banking services. Unified Communications and Omni-Channel strategies mean banks communicate with their customers using browser-based video/audio for instance. This could be with a human agent, but in the future also Artificial Intelligence (AI) based agents.

It is not too hard to imagine, therefore, a video/audio conversation between a high net-worth client and their private banker. If the client looks and sounds like him/herself, and of course can provide the answers to any security questions (as they invariably would), why would the banker not acquiesce to any instructions the client gives?

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Business Insider: The CEO behind a David Beckham deepfake video thinks we will have totally convincing digital humans in 3 years

The CEO of a UK startup pioneering deepfake technology thinks we're just three years away from having computer-generated versions of actors that are so good, they're indistinguishable from real humans.

Victor Riparbelli, 27, cofounded Synthesia two years ago. The company made its first big splash in 2018 when it used its technology to make a BBC news anchor appear to be speaking Spanish, Mandarin and Hindi.

More recently the company applied its tech to soccer legend David Beckham. In collaboration with the campaign Malaria Must Die, Synthesia manipulated Beckham's facial features so that nine malaria survivors were able to speak through him — in nine different languages.

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