Adejumoke Owolabi, a researcher of the study, used these two methods and found 70% of the results of images showed deep fakes. This means that due to this method, it is easy to find images that are fake by looking at the reflection in people’s eyes. Although this method isn’t always 100% accurate, it can still help in identifying deep fakes.
When the researchers presented the idea to the UK's National Astronomy Meeting, it was liked by the people. Kevin Pimbblet, director of the Centre of Excellence for Data Science, Artificial Intelligence and Modelling at the University of Hull, UK says that a real photograph can be recognized by seeing the reflection in one’s eye and seeing the reflection in another eye that should also be similar. Many scientists are trying to find methods of identifying deep fakes and other methods like facial movements detection using AI, detecting oddly blinking eyes and checking the pulse in people's faces are also being used.
Meta and OpenAI are investing millions of dollars to look for ways that could identify deep fakes. The FBI and Department of Defense are also concerned about the rise in deep fakes that can be harmful to national security. If we use AI detection methods, they can also help AI models improve. The deep fakes are getting more realistic with each passing day and soon, most people are going to believe anything they see online.
Read next: A New Study Reveals that Many LLMs are Not Able to Perform Basic Reasoning Tasks
by Arooj Ahmed via Digital Information World
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