Art schools rethink how they teach photography as AI images spread

In short: Photography schools are adjusting their teaching as AI can now create realistic images of events that never happened.

What's going on

Photography students have traditionally learned by using a camera to observe the real world. They practice light, focus, framing, and timing, and they learn by being in a place and reacting to what happens.

AI-generated imagery flips that process. A student can type a request into a tool and get a picture that looks like a photograph, even if the person, place, or event is not real (like ordering a custom scene the way you would order a poster).

Educators are trying to make room for these tools without losing the point of studying photography in the first place. At the London College of Communication, senior lecturer Edmund Clark says students can use generative AI if they can explain why it fits their project and if they are transparent about using it. He says students also need to understand issues like bias (how a system can unfairly lean toward certain stereotypes), copyright, ethics, and environmental impact.

Clark also describes workshops where students create both “true” and “false” news stories using AI-made text and images. The class then discusses current rules and guidelines for using AI in news photography and photojournalism.

What to watch

As synthetic images become easier to make, schools may put more weight on verification and context, not just the final picture. That could mean training photographers to show sources, explain what is known and unknown, and treat a photo as one piece of evidence in a larger investigation.

Source: Financial Times