Deepfake technology uses deep learning algorithms to create realistic fake media by swapping faces in videos and images.
Deepfakes can be used for both creative and malicious purposes, such as creating realistic movie scenes or spreading misinformation.
The technology behind deepfakes involves neural networks, including generative adversarial networks (GANs), which learn to generate convincing fake content.
Ethical concerns about deepfakes include their potential use in creating fake news, hoaxes, and unauthorized explicit content.
Researchers and tech companies are developing tools to detect and mitigate the impact of deepfakes, aiming to protect individuals and maintain trust in digital media.