As generative artificial intelligence (AI) technologies advance, distinguishing between synthetic and real content is becoming increasingly important. In 2024, the ability to produce realistic images and videos from simple text prompts is no longer limited to experts, raising concerns about authenticity.
Experts suggest that the first step in identifying synthetic media is to maintain a mindset that any content could potentially be AI-generated. Siwei Lyu, a professor at the University of Buffalo, emphasizes the importance of this awareness over specific indicators.
Currently, AI-generated images often exhibit telltale signs, such as distorted human features. However, as the technology evolves, the distinction may become less clear. Notably, upcoming video generators from OpenAI, Google, and Meta will further complicate the identification process.
There are two main types of manipulated videos: deepfakes, which swap faces in existing footage, and videos where audio is altered to make individuals appear to say things they never did. Key indicators of these manipulations include unnatural facial movements and inconsistencies in lip-syncing.
As AI-generated content becomes more sophisticated, experts advise vigilance. For instance, short video clips are often a sign of AI generation, as current models struggle with longer formats. Observing background inconsistencies can also reveal synthetic origins.
In an era where the lines between reality and fabrication are blurring, companies are developing watermarking and hidden metadata to indicate synthetic content. Users are encouraged to verify sources and remain skeptical of sensational claims to avoid misinformation.