1 min readfrom Photography

Photo authenticity in the age of AI

Our take

In the era of AI, the authenticity of photographs faces new challenges as audiences become increasingly skeptical of what they see. The ease of dismissing images as AI-generated raises questions about how we can assure viewers of a photograph's genuineness. While established standards for verification remain elusive, innovative solutions, such as public key cryptography, could offer a pathway for photographers to authenticate their work.

I’ve been thinking about how photographs are perceived by audiences in the age of AI.

It’s become very easy to dismiss an image as AI-generated, like this one showing asperitas clouds, but confirming that a photo is genuine often requires prior knowledge or context that most viewers don’t have.

Are there any established standards or best practices photographers can use to assure their audience that a digital photograph is authentic?

As a software engineer, I tend to think of solutions such as public key cryptography. However, this is not something most people are familiar with. It could still allow a more technical audience to verify that a photograph, including its EXIF data and possibly a thumbnail render of the raw image from the camera, was signed by the photographer and has not been significantly altered (except color corrected) since capture.

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#health and wellness#luxury photography#fashion photography#wellness photography#photo authenticity#AI-generated#digital photograph#genuine photo#EXIF data#asperitas clouds#best practices#verifying photographs#image verification#established standards#public key cryptography#signed photograph#photographer assurance#raw image#audience perception#thumbnail render