Deepfake Archives - Liwaiwai

Deepfakes: Faces Created By AI Now Look More Real Than Genuine photos

Deepfakes: faces created by AI now look more real than genuine photos Manos Tsakiris, Royal Holloway University of London Even if you think you are good at analysing faces, research shows many people cannot reliably distinguish between photos of real faces and images that have been computer-generated. This is particularly problematic now that computer systems can create realistic-looking photos of people who don’t exist. Recently, a fake LinkedIn profile with a computer-generated profile picture made the news because it successfully connected with US officials and other influential individuals on the networking platform, for example. Counter-intelligence experts even say that spies routinely…

Artificial Intelligence

Intel Introduces Real-Time Deepfake Detector

What’s New: As part of Intel’s Responsible AI work, the company has developed FakeCatcher, a technology that can detect fake videos with a 96% accuracy rate. Intel’s deepfake detection platform is the world’s first real-time deepfake detector that returns results in milliseconds. “Deepfake videos are everywhere now. You have probably already seen them; videos of celebrities doing or saying things they never actually did.” –Ilke Demir, senior staff research scientist in Intel Labs How it Works: Intel’s real-time deepfake detection uses Intel hardware and software and runs on a server and interfaces through a web-based platform. On the software side, an…

Artificial Intelligence Is Now Part Of Our Everyday Lives – And Its Growing Power Is A Double-Edged Sword

A major new report on the state of artificial intelligence (AI) has just been released. Think of it as the AI equivalent of an Intergovernmental Panel on Climate Change report, in that it identifies where AI is at today, and the promise and perils in view. From language generation and molecular medicine to disinformation and algorithmic bias, Artificial Intelligence has begun to permeate every aspect of our lives. The report argues that we are at an inflection point where researchers and governments must think and act carefully to contain the risks AI presents and make the most of its benefits.…

The Image Similarity Challenge And Data Set For Detecting Image Manipulation

We’ve built and are now sharing the largest available data set designed to help AI researchers develop new systems that can identify image manipulation at scale. The first-of-its-kind Image Similarity data set provides a global benchmark for combating harmful image manipulation and abuses online. The Image Similarity data set contains over 1 million images including 50,000 reference images by Facebook AI. We’ve also launched the Image Similarity Challenge, a first-of-its-kind online competition hosted by DrivenData with a $200,000 total prize pool. The challenge is being supported by Pinterest, BBC, Getty Images, iStock and Shutterstock. The Image Similarity Challenge launched on June…

The Implications Of Open-Source AI: Should You Release Your AI Source Code Publicly?

As humanity continues to implement new AI-solutions into many industries, the question of these projects’ usefulness and ethics is still often debated. Experts emphasize that developers of any new AI-tool must check its for goodness’, be responsible for its safety and consider its potential risk of harm. Still, the question of who should control the creation and use of new AI-technologies, specifically in synthetic media and deepfake tools, remains open. And secondly, is there a risk of making the code of new tools available to the general public? In this article, I will share my thoughts on why it’s better…

Tech’s Ever-growing Deepfake Problem

The run-up to the U.S. presidential election is also speeding up the arrival of a tipping point for digital fakery in politics, Axios’ Ashley Gold reports. What’s happening: As the election, a pandemic and a national protest movement collide with new media technology, this political moment is accelerating the proliferation and evolution of deliberately deceptive media, leaving companies struggling to enforce often-vague policies. Driving the news: This week, thousands of Twitter and Facebook users including White House deputy chief of staff Dan Scavino circulated a manipulated video appearing to show Democratic presidential candidate Joe Biden falling asleep during a live interview. The Trump…

Microsoft’s New Deepfake Detector Puts Reality To The Test

The upcoming US presidential election seems set to be something of a mess—to put it lightly. Covid-19 will likely deter millions from voting in person, and mail-in voting isn’t shaping up to be much more promising. This all comes at a time when political tensions are running higher than they have in decades, issues that shouldn’t be political (like mask-wearing) have become highly politicized, and Americans are dramatically divided along party lines. So the last thing we need right now is yet another wrench in the spokes of democracy, in the form of disinformation; we all saw how that played…

Microsoft Announces Tool To Help News Orgs Detect Deepfakes Ahead Of The Election

As the United States heads into a presidential election at a time when it’s harder than ever to root out fake news online, Microsoft is releasing a new tool aimed at better detecting AI-generated deepfakes. The software, which is the product of a partnership between the tech giant and the hybrid nonprofit-commercial enterprise AI Foundation, can determine the likelihood that a face in a still image or video was generated or manipulated using AI. It is currently only available to select organizations “involved in the democratic process,” including news outlets and political campaigns. Microsoft is also partnering with media companies like…

Rewriting History To Show The Danger Of Deepfakes

Can you recognize a digitally manipulated video when you see one? It’s harder than most people realize. As the technology to produce realistic “deepfakes” becomes more easily available, distinguishing fact from fiction will only get more challenging. A new digital storytelling project from CSAIL researcher D. Fox Harrell aims to educate the public about the world of deepfakes with “In Event of Moon Disaster.” This provocative website showcases a “complete” deepfake (manipulated audio and video) of U.S. President Richard M. Nixon delivering the real contingency speech written in 1969 for a scenario in which the Apollo 11 crew were unable to…

Artificial Intelligence

Using The Power Of Blockchain To Combat Deepfake Videos

Besides “fake news”, there’s been another term which has caused many debates around it: deepfake. These seemingly realistic videos that are, in fact, manipulated have become more problematic lately, casting a shadow on the trust people have in media. Can blockchain and artificial intelligence (AI) be used to combat deepfake, to restore the public confidence back into the system? We believe they can. What is “deepfake”, a term which combines ‘deep learning’ and ‘fake’? According to Wikipedia, it’s a technique for human image synthesis based on AI. It is used to combine and superimpose existing images and videos onto source…

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