The challenge lies in assessing photo authenticity without tools like Photoshop, which can alter images for scams or imagery. A solution, called EA (Enhancement Acknowledgement), blurs the line between accurate and modified images, ensuring transparency. This system helps creators, users, andeditors clarify whether changes were made, preventing the spread of flaking photos in journalism.
Categories of manipulation, such as Incorrected, Enhanced, Body-manipulated, Object-manipulated, and Generated, offer a structured approach to encryption, promoting fairness and avoiding false reporting. These methods could enhance the clarity of AI-generated images, aligning them with human expectations, which is crucial for building trust in media.
As images shift towards AI-generated content, understanding how they were altered becomes vital for deciding their reliability. Collaboration between tech and media is essential for promoting transparency, though challenges like creative alteration ofVIRTUAL images highlight the complexity of this process.
