Can AI Mark the End of Traditional Photography?
We have read and reread the maxim that skill in photography is acquired by practice and not purchase. However, the question that gets asked frequently is whether AI can replace traditional photography and bear good fruit. Many say that inset of Artificial Intelligence in photography will give machines the ability to outperform a photographer's relational reasoning. Whatever the arguments may be, Artificial Intelligence is here to stay and its influence in technical and creative areas will deepen as we move ahead.
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Artificial Intelligence will become smarter and capable of taking over more complex duties. But, is traditional photography the next big target of AI scaremongering? A staggering number of possibilities we come across are sometimes exaggerated. So, come along for some answers as we analyze the role of AI in photography.Truth Behind AI's Influence in Photography
In the past, Google had shared some of its achievements that involved deep learning technology. The tech giant showcased a set of landscape images that were flawlessly edited using deep learning technology. The results were cycled through blind tests with expert photographers as testers. Surprisingly, up to 40% images edited by AI received top ratings. Some images were so well edited that it was hard to tell difference between the ones edited by humans and AI.
But will this be enough to give photographers and editors a run for their money? Without a doubt, Artificial Intelligence in photography will introduce the biggest innovations in the editing department, but it is unlikely to disrupt or threaten traditional photography, at least not anytime soon.
Can Skills of AI Outweigh Humans in Photography?
The most important question everyone asks is "how is AI shaping the photography domain?" To get an answer to that let's look at a photographer's workflow. A professional photographer's role is not just to deliver client assignments on time, but also to snap pictures with great panache. In a typical project, client shares concepts they like to see in the project and a photographer will conceptualize the settings that will meet primary requirements in the best possible way. Let's circumvent nitty-gritty and single out the core objective with a striking consumer example - product photography with boardroom setting.
To get better results from each session, a photographer must visualize results from the client's perspective. Stage setting must be done suitably to get the right mood so that the message easily gets across to viewers. Subtle changes to the scene, character expression, and lighting can alter the underlying message in a photograph. Composing scenes to match with the planned concept is a task only a photographer understands, and it cannot be delegated to AI.
Complex tasks such as prop replacement and compositing are limitations faced by most AI systems including Google's AI. In the boardroom concept, using algorithms to add a few extra items such as coffee mugs and water bottles can never do justice as much as adding a variety of props with complex geometry. Analytical skills of photographers are superior to that of AI. This largely hinders machine's ability to compete or even replace photographer's skill. But then how AI is transforming photography? Perhaps, it is the editing where it makes a mark.
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