I suspect the difficulty is that AI might be artificial but it is in no way intelligent. As far as I am aware both Adams and Winogrand only produced monochrome work so an AI trained on their work would only judge B&W as "good". Also you need a large corpus of images with the full spectrum from good to bad and some way for the AI to learn what is good and what is bad.
Well, that of course is the issue, AI isn't all that intelligent, which is part of the reason I'm opposed to using to judge photography competitions,
But, I was just suggesting that if you use it within certain limits it could be more useful than trying to make a model that tried to encompass all types of photographs.
Hence the suggested very limited scope ie one trained on Ansel Adams pictures assuming the judges were only interested in a winner that was an "Ansel Adams" type picture. And make use of some appropriate rule based decision making.
I posted a link earlier comparing two approaches to using AI as a Capture One assistant. One used a regular AI that searched the Internet for answers, and the other was expert trained. The difference between them was striking.
I'm still not keen on it's use for this at all, but it might be useful if you are sifting through a million competition entries or 5000 wedding photographs, where you want to weed out those that stand no chance of winning/being presented to the bride. There are already AI programs that do the latter.
As an aside Adams had at least one book in colour and did commercial work in colour. He also worked with Kodak on their first digital camera (which I assume was colour), something he was very excited about .
The thing no one talks about in "AI" is the transfer function (or activation function) which is the mathematical function that calculates the output of a neuron from its input. These functions are programmed into the AI by a human and hence why AI in its current form is in no way intelligent.
I have no idea about calculating the output of a neuron, but does anyone actually believe AI is "intelligent". The stuff, I've seen is pretty impressive, while at the same time seriously flawed, including some very stupid mistakes. But the speed it can do things, would seem to make up for the rather mixed results it produces, as long as it's subject to human scrutiny
I confess to not knowing much about AI, but as I mentioned earlier I've built some Bayesian Probability models, and the outputs from the model is controlled by the quality of the data used to build it, how we choose to interpret that data, and the rules we end up creating. So lots of human intervention.