A New Facebook AI Can Disrupt Facial Recognition Software
Daniel Johnson — October 30, 2019 — Tech
References: research.fb & engadget
A new Facebook AI system is able to protect images from facial recognition software. The technology could have a number of practical applications in the future. For example, the AI system could be implemented to prevent people from using facial recognition technology to track peoples' profiles, additionally, it could also help to prevent further instances of deepfakes on the platform. However, Facebook researchers indicated that there are no current plans to implement the technology.
The newly developed AI system combines adversarial autoencoding technology with facial recognition software. The result is an image that is distorted on an extremely small scale, making the picture appear normal but facial recognition software is not able to use the image. Some image distortion may be detectable to humans, but only small details and on a small scale.
Image Credit: Shutterstock
The newly developed AI system combines adversarial autoencoding technology with facial recognition software. The result is an image that is distorted on an extremely small scale, making the picture appear normal but facial recognition software is not able to use the image. Some image distortion may be detectable to humans, but only small details and on a small scale.
Image Credit: Shutterstock
Trend Themes
1. Facial Recognition Protection - The development of Facebook's AI system for protecting images from facial recognition software creates opportunities for preventative measures to protect individuals from unauthorized tracking or misuse of their personal information.
2. Adversarial Autoencoding Technology - The combination of adversarial autoencoding technology with facial recognition software used in Facebook's new AI system represents a disruptive innovation opportunity by providing a new method for protecting images from facial recognition algorithms.
3. Deepfake Prevention - The new Facebook AI system presents opportunities for deepfake prevention by using image distortion to prevent facial recognition software from being able to use the image.
Industry Implications
1. Social Media - The preventative facial recognition AI technology developed by Facebook is relevant to the social media industry, which could use it as a tool to prevent unauthorized tracking of users by facial recognition software.
2. Law Enforcement - The facial recognition protection technology has applications in law enforcement, providing a tool to authorities to prevent tracking or misuse of individuals' personal information in investigations.
3. AI Technology - The development of the Facebook AI system could influence further innovation and improvements in facial recognition technology, particularly with regards to image distortion and protection from adversarial autoencoding techniques.
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