Machine Learning Doesn't Steal Our Jobs: It Expands Our Vision

[TL;DR]

A part of technology that is developing rapidly is "Machine Learning" (ML). This technology is changing the photography industry not by replacing the photographer but by increasing innovation. ML-powered tools tackle intricate jobs efficiently, leaving the photographer with the artistic aspect of the photography. The blend of human skill and AI skill creates a new worldview that asks photographers about the questions of composition and feeling. While analyzing images is something ML can do in a matter of seconds, replicating the emotions is impossible for machines. Adopting AI in photography means analyzing contemporary visual formats with human involvement. The real challenge will be to take full advantage of the machines and human photographers' creativity altogether to capture images that will connect deeply with individuals.


Embracing the ML Revolution in Photography

Let's be honest here: getting The Shutter's Eye blasted on Social Media is one big upheaval. Machine learning (ML) has quite literally changed everything for us. You are probably wondering, "Just another whack job trying to tell us about AI," but trust me, it's different. It has been twenty years of working behind the lens talking, and I can say with utmost conviction that nothing has transformed our industry quite as this. And guess what? It gets better. Grab a cuppa, and let's dig into it. Just the other day, I had a conversation with a photographer who wanted to know if I thought AI would get her out of work. Not joking; I had to chuckle because I thought she was wrong. Let me put it this way: it is not that ML is coming for our jobs. It's here to blow our minds beyond imagination by amplifying our creativity. Mind you, this realisation is not easy. For me personally, It came after countless late nights and many moments of "Let's throw the computer out the window!"


From Darkroom to Neural Networks

Holy smoke! How much I loved back in the day of handcrafting every single detail. On the one hand, there is a sense of nostalgia, and on the other, after remembering in horror their painstaking hours of work compared to the clever neural networks that can now do it in milliseconds. And this is the part I know you will enjoy: they don't just think faster. They tackle things in entirely new ways. Just the other day, it was suggested that I use this new ML-powered editing tool, which was quite handy, albeit on the pricier side. My god, the composition it suggested was exceptionally out there. Who wouldn't think that it went completely off the rails? But you know what? It was brilliant! It got me thinking about how we should approach AI and what should be the guidelines. After a lot of trial and error, I arrived at what I call the 70-30 rule. AI should do 70% of all the complex work and let humans do the rest. It's definitely a life-changing experience.


Human Intuition Meets Computational Analysis

Please don't misunderstand me. At first, I was deeply sceptical about the use of AI composition tools. They are pretty challenging to deal with. After all, when you've spent years mastering a skill, having a computer dictate to you how to frame your shots is annoying, to say the least. I once had a challenging architectural shoot, and the AI somewhat blindly suggested something utterly bonkers. However, that suggestion led me to appreciate a building I had shot a million times in an entirely different and unique manner. It was like having a brilliant, albeit less experienced friend. Sometimes, they see things as they are while other times, they are completely delusional. Irrespective of their views, the conversation always serves to broaden your perspective.


The True Potential of Machine Learning

Let's not waste time and analyse what machine learning (ML) is capable of. These algorithms can analyse images at breathtaking speeds, but the nuance eludes them. There is no 'AI' yet that can quantify the feeling you get when a shot feels just right. During my sessions, I've come across something too novel: the photographers who treat AI as a smart helper, as opposed to a magical wand, are the ones who manage to find the most awe-inspiring balance. I guess it's not the same for everyone. For me, I optimistically follow my heart; AI does its role, and then everything gets refined by decades of experience. Transformers could never capture the true experience of being presented with the finest omelettes.


Exploring New Paradigms

To put it differently, if you believe that there is no universal intelligent algorithm that can work in photography, then I am afraid you need to step out of your comfort zone. Maybe you can walk me through the logic of the film camera buffs who seem stuck in the 20th century. To this day, I still have intense arguments with some of these people because they believe that no creativity can be augmented with an algorithm. However, do you want to know what really gets me excited? It is the opportunity to think of entirely novel concepts of seeing and organising visual components in any extraordinary way possible. I've been playing around with the recent ML advancements, and I must say, we are very close to a major breakthrough. The next wave of AI tools will do more than just scan compositions; they will assist in understanding the emotions accompanying visceral human arrangements.


Integrating Human Intuition and Machine Precision

The intertwining of human imagination with AI is being crafted right now. For those who are just starting to dip their toes into these AI-assisted waters, my advice would be to keep it simple in the beginning, try out different things, and always remember what sets your craft apart. What never fails to amuse right now? There's been a particular buzz surrounding the evolution of any bit of technology, especially AI, and it's immeasurable. About finer details, when it comes to the first set of digital cameras and the fuss around them, it's not surprising that people believed it would lead to the death of photography. Without mincing words, fads usually replace photograph's capabilities rather than their actual essence. The sad truth is if you want the world to stop and notice the pictures you capture, make sure they evoke emotions. Personally, it's indisputable every photographer needs to remember that as they engage in the new reality where AI assistance and creativity coexist.


A digital rendering of a human brain merging with a circuit board, symbolising the intersection of biology and technology

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