First and foremost, this is not about AI/ML research, only about usage in generating content that you would potentially consume.
I personally won't mind automated content if/when that reach current human generated content quality. Some of them probably even achievable not in very distant future, such as narrating audiobook (though it is nowhere near human quality right now). Or partially automating music/graphics (using gen AI) which we kind of accepted now. We don't complain about low effort minimal or AI generated thumbnail or stock photo, we usually do not care about artistic value of these either. But I'm highly skeptical that something of creative or insightful nature could be produced anytime soon and we have already developed good filter of slops in our brain just by dwelling on the 'net.
So what do you guys think?
Edit: Originally I made this question thinking only about quality aspect, but many responses do consider the ethical side as well. Cool :).
We had the derivative work model of many to one intellectual works (such as a DJ playing a collection of musics by other artists) that had a practical credit and compensation mechanism. With gen AI trained on unethically (and often illegally) sourced data we don't know what produce what and there's no practical way to credit or compensate the original authors.
So maybe reframe the question by saying if it is used non commercially or via some fair use mechanism, would you still reject content regardless of quality because it is AI generated? Or where is the boundary for that?
I avoid AI content because it's sort of an intellectual goo. It looks like there were some thoughts behind it, smells like it, and then you notice the distorted letters or certain writing style patterns. The AI we have currently is not sentient, so if there are no humans in the loop doing quality control then you end up with an AI telling people to eat rocks while citing The Onion. I lose trust in anything when I spot that a part of it was AI generated - without being explicitly marked as such - for this reason
Then there's AI's heavy association with corporations/VCs/tech bros, giant waste of electricity, bias in the training data, legality and ethical implications of training AI on data from the entire internet, people losing jobs, companies running sweatshops of people in 3rd world countries to manually classify said data, the list goes on and on
yup, currently whatever is called AI is not intelligent, they do not actually understand the prompts and data points that get fed into them, they merely know what is the most statistically relevant answer from the question. We may still be able to keep improving on the current LLMs, but we will very soon hit a wall that a mathematical model that is only trained on existing data cannot pass through.