![]() ![]() Overall, AI or Not correctly detected all 100 Midjourney-generated images it was originally given. The real painting is exhibited in the National Gallery in London, UK. It was particularly adept at identifying AI-generated images - both photorealistic images and paintings and drawings.ĪI or Not successfully identified visually challenging images as having been created by AI.įor example, someone without professional art training might struggle with correctly identifying this modernist-style mural as having been generated by Midjourney:Ī recreation of Hans Holbein the Younger’s The Ambassadors, created by Midjourney. ![]() First ImpressionĪI or Not was highly accurate during the first round of identifications. The real image dataset is available here. Midjourney was programmed to recreate some of the paintings used in the real images dataset. The Midjourney-generated images consisted of photorealistic images, paintings and drawings. The real images consisted of different types of photographs, realistic and abstract paintings, stills from movies and animated films and screenshots from video games. The company states that the tool is designed to provide highly accurate results.įor the test, Bellingcat fed 100 real images and 100 Midjourney-generated images into AI or Not. Developed by Optic, an American tech company founded by former Google product director Andrey Doronichev, it “uses advanced algorithms and machine learning techniques to analyse images and detect signs of AI generation.” It has been trained on DALL-E, Midjourney, Stable Diffusion, generative adversarial networks and face image generators. The results show a technology suited to navigating watermarks but that struggles with images that have been compressed. In particular we wanted to understand how effective the tool was at detecting images with watermarks and images which have been compressed – two specific challenges often faced by open source researchers. We tested one of these tools- AI of Not – on 200 images: half of them real, half AI-generated. The exercise showed positive progress, but also found shortcomings-two tools, for example, thought a fake photo of Elon Musk kissing an android robot was real.īellingcat sought to repeat this experiment with open source research in mind. The tools analyse the data contained within images-sometimes millions of pixels-and search for clues and patterns that can determine their authenticity. AI-fuelled disinformation will have direct implications for open source research-a single undiscovered fake image, for example, could compromise an entire investigation.Įarlier this year, the New York Times tested five tools designed to detect these AI-generated images. Of particular concern for open source researchers are AI-generated images.ĭALL-E, Stable Diffusion, and Midjourney-the latter was used to create the fake Francis photos-are just some of the tools that have emerged in recent years, capable of generating images realistic enough to fool human eyes. These images were the product of Generative AI, a term that refers to any tool based on a deep-learning software model that can generate text or visual content based on the data it is trained on. An AI-generated image of Pope Francis, created using MidJourney.
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