Facebook will spend $10 million and offer a cash prize to detect deepfakes
The Deepfake Detection Challenge is a partnership between Facebook, Microsoft, the Partnership on AI, and academics. Facebook has put up $10 million towards the partnership to help detect and deal with videos and other media that have been manipulated to show someone doing or saying something they never said or did.
“The goal of the challenge is to produce technology that everyone can use to better detect when AI has been used to alter a video in order to mislead the viewer,” wrote Mike Schroepfer, the Chief Technology Officer of Facebook AI, in a blog post announcing the program.
The challenge will use a brand new set of videos that feature paid actors, so no Facebook user data will be part of the program. The company will create both unmodified and “tampered” videos using different deepfake AI techniques for participants to detect. The hope is to develop a way to better detect and prevent tampered media and give social network like Facebook a way to flag deepfakes before they go viral.
To encourage participation, there will be research collaborations and prizes as part of the challenge. Facebook has already dedicated $10 million is being dedicated to the project.
“[The] $10 million total is being given across university grants, challenge awards, workshops, and starting to build the dataset. We will continue to invest to further the development of the dataset over time and support the research community,” a Facebook spokesperson told Digital Trends.
The Deepfake Detection Challenge will begin in October and run through May 2020 globally.
Deepfakes are a relatively new technology that has grown rapidly this year. There’s already been issues with fake deepfakes purporting to show famous people saying something they never actually said, including one deepfake of Facebook CEO Mark Zuckerberg proclaiming his power over “millions of people’s stolen data.” Experts say that the technology is advancing quickly and deepfakes will only get more convincing (and easier to create) over the next few years.
Experts say that to fight the perpetuation of deepfakes being used in the wrong way, programs like the Deepfake Detection Challenge are essential.
“Technology to manipulate images is advancing faster than our ability to tell what’s real from what’s been faked. A problem as big as this won’t be solved by one person alone,” said Phillip Isola, Assistant Professor of Electrical Engineering & Computer Science at the Massachusetts Institute of Technology, in the announcement. “Open competitions like this one spur innovation by focusing the world’s collective brainpower on a seemingly impossible goal.”