Samsung to auto-tag AI generated photos in Galaxy S26

Samsung Galaxy Unpacked was full of announcements about the company's new line of Galaxy S26 smartphones. And, of course, Samsung had plenty to highlight in terms of its Galaxy AI features too.

One of the major new AI-related features this year from Samsung involves the Galaxy S26's photo app. All photo tools, including AI editing, will all live in a new Creative Studio so users can capture, edit, enhance, and generate multimedia content without the need to use multiple applications.

The ability to snap a real photo and then add a realistic, yet fake, AI-generated aspect to that picture could cause some problems. So, as Samsung announced at Galaxy Unpacked, photos with AI elements will be tagged as such within the app.

The AI label from Samsung appears in the bottom corner of the photo and designates the image as "AI-generated content."

This will be good news to many, as AI imagery and deepfakes have been used by bad actors to spread misinformation and harass individuals.

However, it's currently unclear if there's anything more than the visible watermark on the photo. If it's just that visible label, it appears that users can still easily crop the photo ever so slightly to remove the watermark. In fact, there are tutorials online that show users how they can utilize Galaxy AI itself to remove the AI watermark in previous iterations of Samsung's AI tools for Galaxy phones.

Other AI tools like OpenAI's Sora and Google's Veo 3 also display watermarks that indicate content is AI-generated. However, as those are video tools, they are able to make the watermark more difficult to remove. Ideally, AI-generated images and videos contain an invisible digital watermark, like Google's SynthID.

Samsung is using Google's AI model Gemini and its powerful Nano Banana AI-image generation model for Galaxy AI's generative content. However, it's not clear if AI photos made with Samsung will also contain a SynthID for AI detection.

Still, auto-tagging is one step practical step to limit the potential harm of deepfakes.