You might be confident in your ability to tell a real face from one created using artificial intelligence. But a new study has found that your chance of choosing accurately would be slightly better if you just flipped a coin—and you are more likely to trust the fake face over the real one.
Published in the Proceedings of the National Academy of Sciences, the study was conducted by Hany Farid, a professor at the University of California, Berkeley, and Sophie J. Nightingale, a lecturer at England’s University of Lancaster.
Farid has been exploring synthetic images—and how well people can tell them apart from the real ones—for years. He initially focused on the rise of computer-generated imagery. But the medium’s path has accelerated in recent years as deep-learning-based neural networks known as GANs (generative adversarial networks) have become more sophisticated at generating truly realistic synthetic images. “If you look at the rate of improvement of deep fakes and…
Read More…
Source : fastcompany.com
Source link
