The Deepfake Detection Challenge is a Lucrative Competition
Kalin Ned — October 30, 2019 — Pop Culture
References: washingtonpost & venturebeat
As deepfakes are rapidly entering the social media space, companies and institutions are looking for ways to regulate and detect them -- as a result, a software competition is launched by a number of influential entities, offering "up to $10 million in grants and awards to spur innovation" in this sector.
The Deepfake Detection Challenge has been announced in collaboration with Partnership on AI, Facebook, Microsoft, and a number of academics from Cornell Tech, MIT, UC Berkeley, University at Albany-SUNY, University of Maryland, College Park, and the University of Oxford.
The onset of a software competition like this speaks to the dire need for a solution as social media platforms and its users are faced with the inability to decipher what is real and what is not.
Photo Credits: Venture Beat
The Deepfake Detection Challenge has been announced in collaboration with Partnership on AI, Facebook, Microsoft, and a number of academics from Cornell Tech, MIT, UC Berkeley, University at Albany-SUNY, University of Maryland, College Park, and the University of Oxford.
The onset of a software competition like this speaks to the dire need for a solution as social media platforms and its users are faced with the inability to decipher what is real and what is not.
Photo Credits: Venture Beat
Trend Themes
1. Deepfake Detection - The Deepfake Detection Challenge offers a disruptive innovation opportunity for companies to develop advanced algorithms and technologies to identify and combat deepfakes.
2. Regulating Deepfakes - The rise of deepfakes creates an opportunity for industries such as cybersecurity and media to develop innovative solutions for regulating and detecting deepfake content.
3. Innovation in Social Media - The need for identifying deepfakes on social media platforms presents an opportunity for companies in the social media industry to develop cutting-edge technologies and algorithms.
Industry Implications
1. Cybersecurity - The deepfake phenomenon calls for disruptive innovation in the cybersecurity industry to develop robust tools and systems for detecting and preventing the spread of deepfakes.
2. Media - The prevalence of deepfakes highlights the need for disruptive innovation in the media industry to create technologies and strategies that can authenticate and verify digital content.
3. Social Media - The challenge of deepfake detection on social media platforms provides an opportunity for disruptive innovation in the social media industry to develop effective algorithms and tools to combat misinformation.
4.7
Score
Popularity
Activity
Freshness
