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How to identify AI-generated images? Here are some tips

By leveraging a combination of observational analysis, source verification, contextual examination, and technological solutions, individuals can enhance their ability to detect and mitigate the impact of AI-generated content.

Saumya Nigam Written By: Saumya Nigam @snigam04 New Delhi Updated on: February 21, 2024 18:58 IST
AI-generated images, artificial intelligence
Image Source : PIXABAY How to identify AI-generated images? Here are the tips

In recent times, AI-generated images have become a highlighting reason for disseminating misinformation and propaganda on various digital platforms. These images have been created by using sophisticated algorithms like generative adversarial networks (GANs) and it has further sparked concerns related to the potential for deceiving individuals. It is worth noting that the fabricated images of prominent figures like Elon Musk, Narendra Modi, Taylor Swift, and Rashmika Mandana have surfaced and created effective detection mechanisms.

What is GAN Images?

  1. Generative adversarial networks (GANs), were conceptualized at the University of Montreal in 2014 by computer scientists. It has revolutionized the of machine-learning realm by enabling computers to create real-like images. 
  2. GANs further operate through a dynamic interplay between two neural networks - one which generates images which could be discerning and people might get confused between real and fake. 
  3. Initially, GAN-generated images exhibited limited realism, but the advancements of artificial intelligence led to the creation of images which could be virtually indistinguishable from real photographs.

How to detect AI-generated images: Strategies and tips

How to observe?

  1. Careful Examination by zooming into the images and scrutinising the inconsistencies like repeated patterns and unnatural symmetrical features.
  2. Focus more on body parts and features like facial features, any marks, body proportions and text-to-figure AI manipulation.

Source Verification

  1. Utilize tools like Google Lens, Bing or Tineye to trace the origin of an image which could provide valuable insights into its authenticity.
  2. Watermark Analysis: You need to check for the watermarks or metadata embedded in images which could aid in identifying their source.
  3. Paying attention to the titles, descriptions, and comments for the disclosures regarding the AI generation which could provide can offer vital clues to know if the mechanically created.

Background Assessment

Blur and Distortion: AI-generated images will often be blurred or distorted in the backgrounds along with having repetitive patterns and merging objects, which will signal potential fabrication.

An incomplete Rendering of the background elements could be observed in the case of viral explosion images near the White House, which further signifies the AI manipulation.

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