Real-time deepfake detection: How Intel Labs uses AI to fight misinformation
[embedded content]A few years ago, deepfakes seemed like a novel technology whose makers relied on serious computing power. Today, deepfakes are ubiquitous and have the potential to be misused for misinformation, hacking, and other nefarious purposes. Intel Labs has developed real-time deepfake detection technology to counteract this growing problem. Ilke Demir, a senior research scientist at Intel, explains the technology behind deepfakes, Intel’s detection methods, and the ethical considerations involved in developing and implementing such tools.Also: Today’s AI boom will amplify social problems if we don’t act now, says AI ethicistDeepfakes are videos, speech, or images where the actor or action is not real but created by artificial intelligence (AI). Deepfakes use complex deep-learning architectures, such as generative adversarial networks, variational auto-encoders, and other AI models, to create highly realistic and believable content. These models can generate synthetic personalities, lip-sync videos, and even text-to-image conversions, making it challenging to distinguish between real and fake content. More
