New Report: “World’s First Deepfake Audit Counts Videos and Tools on the Open Web”
From IEEE Spectrum:
If you wanted to make a deepfake video right now, where would you start? Today, an Amsterdam-based startup has published an audit of all the online resources that exist to help you make your own deepfakes. And its authors say it’s a first step in the quest to fight the people doing so. In weeding through software repositories and deepfake tools, they found some unexpected trends—and verified a few things that experts have long suspected.
The deepfake apocalypse has been lurking just over the horizon since about 2017. That’s the year the term was invented by the eponymous reddit user “u/deepfakes,” who weaponized the face-swapping technology to graft famous actresses into porn.
“The apocalypse is a little overhyped in my view,” says Siddharth Garg, a researcher at New York University.
So—is a true crisis coming, and if so, when? The new report, issued today by the counter-deepfake firm Deeptrace, based in Amsterdam, tries to answer those questions. Deeptrace is one of several new startups and academic groups that aim to build ”deepfake detectors” to guard against the coming storm of AI-generated content. But the company’s employees realized they first needed to better understand what exactly is out there. So they conducted the first major audit of the deepfake environment on the open web.
Direct to Download Report Cited in Article
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.