Google Photos Will Start Flagging Images Edited With AI

What does this mean for you?

Starting today, Google Photos will start adding a "Edited" label to images that have been modified using artificial intelligence (AI). This move is part of Google's efforts to combat the spread of misinformation and deepfakes, which are realistic fake videos that can be used to spread false information.

How will Google Photos detect AI-edited images?

Google says it has developed a new machine learning model that can identify images that have been edited with AI. The model looks for specific patterns in the image data that are characteristic of AI-edited images. These patterns can include things like unnatural skin tones, unrealistic lighting, and objects that appear out of place.

What types of images will be flagged?

Google says that it will flag any image that it believes has been edited with AI, regardless of the purpose of the edit. This includes images that have been edited to improve their appearance, as well as images that have been created for malicious purposes.

What should you do if your image is flagged?

If your image is flagged as "Edited," you can still share it with others. However, the label will be visible to anyone who views the image, so they will be aware that it has been modified.

Why is Google doing this?

Google says that it is taking this step to help people understand the authenticity of the images they see online. The company believes that this will help to combat the spread of misinformation and deepfakes.

What are the implications of this move?

Google's move to flag AI-edited images has a number of implications. First, it will make it more difficult for people to spread misinformation and deepfakes. Second, it will help people to understand the authenticity of the images they see online. Third, it could lead to a decrease in the use of AI-edited images.

Conclusion

Google's decision to flag AI-edited images is a significant step in the fight against misinformation and deepfakes. This move will help people to understand the authenticity of the images they see online, and it will make it more difficult for people to spread false information.