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Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI). However, the reliability of such software is a topic of debate, [ 1 ] and there are concerns about the potential misapplication of AI detection software by educators.
In order to assess the most effective algorithms for detecting deepfakes, a coalition of leading technology companies hosted the Deepfake Detection Challenge to accelerate the technology for identifying manipulated content. [174] The winning model of the Deepfake Detection Challenge was 65% accurate on the holdout set of 4,000 videos. [175]
Download QR code; Print/export Download as PDF; Printable version; ... Taylor Swift deepfake pornography controversy; T. Telegram deepfake scandal in South Korea; W.
Deepfake detection has become an increasingly important area of research in recent years as the spread of fake videos and images has become more prevalent. One promising approach to detecting deepfakes is through the use of Convolutional Neural Networks (CNNs), which have shown high accuracy in distinguishing between real and fake images.
Synthetic media (also known as AI-generated media, [1] [2] media produced by generative AI, [3] personalized media, personalized content, [4] and colloquially as deepfakes [5]) is a catch-all term for the artificial production, manipulation, and modification of data and media by automated means, especially through the use of artificial intelligence algorithms, such as for the purpose of ...
A Taylor Swift deepfake went viral on X and was left up for nearly a full day, alarming experts and putting a spotlight on X's moderation difficulties.
AI technology is becoming more widely available, such as stable diffusion (open-source technology that can produce images from text prompts) and “face-swap” tools that can put a victim’s ...
Focusing on the detection part, one principal weakness affecting recent models is the adopted language. Most studies focus on detecting audio deepfake in the English language, not paying much attention to the most spoken languages like Chinese and Spanish, [57] as well as Hindi and Arabic.