I’ve been thinking a lot about how realistic AI-edited images are getting lately, and honestly it’s a bit unsettling. A few years ago it was easy to spot fakes, but now I’m not so sure anymore. I recently saw an image shared in a private chat that looked totally normal at first glance, and only later someone mentioned it was AI-modified. That made me wonder: do we actually have reliable ways to detect this stuff, or are we already behind? And even if detection exists, who should be responsible for regulating it — platforms, governments, or users themselves?
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Good question, and I’ve been wondering the same thing, mostly because I work with digital content moderation and I see how fast things slip through. From my experience, detection tools exist, but they’re very inconsistent. Some rely on metadata (which is often stripped), others on visual artifacts, but those get better with every model update. I’ve tested a few public tools on images generated or altered by AI platforms, including ones like Undress AI Tool , and results were mixed — some images were flagged instantly, others passed as “authentic” without hesitation.
Regulation is even trickier. Laws move slowly, and AI moves fast. Platforms could enforce clearer labeling or watermarking, but only if everyone agrees to follow the same rules, which rarely happens. I personally think transparency is more realistic than full prevention. Educating users to be skeptical, especially before sharing or reacting emotionally to images, might be the most practical defense right now. It’s not perfect, but waiting for flawless detection feels unrealistic.