Skip to main content
  1. Home
  2. Emerging Tech
  3. Social Media
  4. News

Facebook will spend $10 million and offer a cash prize to detect deepfakes

Add as a preferred source on Google
 

Facebook will offer a cash prize to the person or group that can build a next-generation way to detect deepfakes — and it’s even creating its own original deepfakes for participants to work with.

Recommended Videos

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.”

Allison Matyus
Former Digital Trends Contributor
Allison Matyus is a general news reporter at Digital Trends. She covers any and all tech news, including issues around social…
This new video editor lets Claude organize, generate, and edit right on your timeline
Laptop running Claude Fable

For years, AI video tools have mostly lived outside the editing process. You generate a clip, download it, import it into your editor, and continue working. A new app called Palmier Pro aims to eliminate some of those extra steps by bringing AI directly into the video timeline.

The newly launched software, available for macOS, is being marketed as a video editor that Claude can use. Instead of treating AI as a separate chatbot or content generator, Palmier is designed to let an AI assistant interact with an active video project and make changes within it.

Read more
MIT experts just made a special memory. When humans forget, robots will just fetch the lost item
MIT’s new robot memory could make lost keys your robot’s problem
A robotic arm.

Robots may be the new best friend for forgetful humans. MIT researchers have developed a long-term memory framework for robots that can help them build a detailed mental model of large, complicated spaces. The system is called DAAAM, short for Describe Anything, Anywhere, Anytime, at Any Moment, and the goal is to let robots remember objects, locations, and details over time.

This might not sound headline-grabbing, though robots are still surprisingly bad at something humans do casually. You may remember that your keys were on the kitchen counter last night, or that a half-finished part was left in a factory bin. However, a robot working beside you would struggle to connect that object and location in a useful way.

Read more
A strange little electric nose may be the missing piece for smart fridges
The carbon nanotube chip detects food, allergens, and spoilage signals at room temperature.
Electronics, Hardware, Printed Circuit Board

UC Berkeley researchers have built an electric nose that can detect gases tied to spoiled food and common allergens more consistently than a human sniff test. The device uses a 16-sensor gas sensor chip that turns reactions with food-related gases into electrical signals.

Kitchen judgment can get messy because food doesn't always look or smell risky before it becomes a problem. Milk, eggs, chicken, fruit, and nuts release different chemical signatures, and people usually have to decide with whatever their nose catches in the moment.

Read more