The discussion around detecting AI-generated images is framed as an educational response to the growing challenge of misinformation. The strongest version of this narrative acknowledges the rapid advancement of AI image generation and the need for critical tools to verify content. It rightly highlights practical methods—source verification, detail scrutiny, watermark detection, and reverse image search—as accessible ways to combat deception. However, the narrative assumes that these methods will...