RealOrRender is a new system that detects images created by Artificial Intelligence (AI). Many digital images look real but are made by AI. They are called deepfakes or AI images. The Fraunhofer Institute for Optronics, System Technologies and Image Exploitation (IOSB) introduced RealOrRender. This system aims to find exactly such images.
This new system is important for everyone who uses the internet. It is crucial to distinguish real images from AI images. This helps us trust news, social media, and personal messages. Without such tools, fraud and misinformation could spread easily. This could divide society and make us all more easily influenced. For you, this means: Finally, there is a tool against digital deception.
Fraunhofer IOSB, an institute for applied research, developed RealOrRender. It is a system that can do two things. It detects AI images and deepfakes. It also explains why it classifies an image as AI-generated. This is new because other AI detection tools were often hard to understand. RealOrRender uses eXplainable AI (XAI) for this. According to Golem.de, this development is an important update for image forensics. Image forensics is the science of checking images for authenticity.
For you as an individual, much changes. Imagine you see a photo of a famous person doing something bad. With RealOrRender, you could check if the image is real. You could also see if it is an AI fake. This protects you from misinformation and manipulation that spreads quickly online. It gives you more control over digital content. It helps you distinguish truth from lies.
Companies face even bigger problems. Marketing departments must ensure their own content is not misunderstood as deepfakes. At the same time, they must protect their brand from misuse by fake images. Financial service providers or insurance companies can use RealOrRender. They can use it to detect fraud attempts with fake documents or videos. It is an important tool to protect reputation and avoid financial losses.
The biggest opportunity is that we can trust digital content more again. If we know there are good tools for deepfake detection, we can view online images more critically. For developers, there are new opportunities for security solutions and applications. These can build on RealOrRender technology. It could also improve the quality of AI models. One learns what traces these models leave behind.
