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Four ways to detect AI art

Over the last few months, artificial intelligence demonstrated its ability to generate essays and images. More importantly, its content frequently matches that of humans.

Is it possible to distinguish between man-made and AI art? Fortunately, there are a few options available to you.

This article will go over a few techniques for detecting AI-generated images. It should be noted that they do not guarantee 100% accuracy.

Take a look at the title, description, and comments section

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Photo Credit: theabundantartist.com

Assume you’re looking for free online images or have commissioned artwork from a freelancer. Artists with a good reputation include proper titles and descriptions in their works. The latter would describe the artwork and the tools used to create it.

If they created AI art, the description would include specifics. You can also visit the artist’s profile page on an art website or social media. Look for keywords associated with AI art generators such as DALL-E, Stable Diffusion, and Midjourney.

If these names appear, it is a strong indication that an image was created by artificial intelligence. However, some people would overlook that fact, making this method insufficient.

Check for AI art watermarks

It is not possible to rely on users to inform others about their use of artificial intelligence. Many artists have filed lawsuits against AI art generators in response. To avoid AI copyright issues, the majority of them eventually decided to place watermarks at the bottom of their content.

DALL-E 2, for example, includes a row of squares in yellow, turquoise, green, red, and blue in the bottom right corner of its content. Unfortunately, it is simple to obtain AI art without a watermark and thus circumvent the content generator’s policies.

For instance, OpenAI tells users not to “mislead others about the nature of their work. In other words, they must not tell anyone that they created an Open AI image themselves.

Look for odd-looking parts in the image

Image 67
Photo Credit: www.wired.com

From a distance, most AI art appears convincingly realistic. If you look closely, you will most likely notice strange things in the image.

Some faces in the background, for example, may lack detail or have no features. Other details you might notice in a computer-generated image include:

  • Background blurred, similar to a flat texture
  • Subjects are obscured by unreadable text.
  • Earrings that are mismatched or missing
  • facial features that are crooked or misshapen
  • Eyeglasses, for example, blend into the skin.
  • Patches of “painted” color can be found throughout the overall image.
  • Again, for two reasons, these are not foolproof methods of detecting AI art. To begin, you would need a trained eye to detect these flaws. Otherwise, you risk mistaking a genuine man-made artwork for a fake. Second, an artist may purposefully incorporate flaws into his or her work. Such features could be used by the artist to convey a message. On the other hand, the AI art red flags could be genuine errors made by an amateur.

Use a GAN Detector for spotting AI art

Image 68
Photo Credit: art-recognition.com

To detect its content, you could use a Generative Adversarial Network, a component of an AI image generator. GANs allow an AI artist to transform stored data into new content. In other words, that component aids tools like DALL-E in creating AI images.

In 2021, engineers at the tech firm Mayachitra developed a GAN detector to detect this type of media. Unfortunately, it frequently mistook an AI image for a human-made one, and vice versa. After using this tool, you can improve the accuracy by using the previous methods.

There are a few ways to tell the difference between AI art and man-made art. We have no reliable methods or tools at the time of writing. This is just one of many issues that will arise as the use of artificial intelligence grows around the world. It will eventually become the standard for many aspects of daily life.

You must arm yourself with the most recent information on these technologies. To begin, read more Inquirer Tech articles.

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