A critical failure mode in many discussions of technological risk is the assumption that maintaining status quo for technology would lead to maintaining the status quo for society. Lewis Anslow suggests that this "propensity to treat technological stagnation as safer than technological acceleration" is a fallacy. I agree that it is an important failure of reasoning among some EAs, and want to call it out clearly.
One obvious example of this, flagged by Anslow, is the anti-nuclear movement. It was not an explicitly pro-coal position, but because there was continued pressure for economic growth, the result of delaying nuclear technology wasn't less power usage, it was more coal. To the extent that they succeeded narrowly, they damaged the environment.
The risk from artificial intelligence systems today is very arguably significant, but stopping future progress won't reduce the impact of extant innovations. Stopping where we are today would still lead to continued problems with mass disinformation assisted by generative AI, and we'll see continued progress towards automation of huge parts of modern work even without more capable systems as the systems which exist are deployed in new ways. It also seems vanishingly unlikely that the pressures on middle class jobs, artists, and writers will decrease even if we rolled back the last 5 years of progress in AI - but we wouldn't have the accompanying productivity gains which could be used to pay for UBI or other programs.
All of that said, the perils of stasis aren't necessarily greater than those of progress. This is not a question of safety versus risk, it is a risk-risk tradeoff. And the balance of the tradeoff is debatable - it is entirely possible to agree that there are significant risks to technological stasis, and even that AI would solve problems, and still debate what strategy to promote - whether it is safer to accelerate through the time of perils, promote differential technological development, or to shut it all down.
Specifically addressing your AI art point: In this case, you risk this fallacy being used to prop up technologies which solve problems they created. Which, I suspect, is part of the popular backlash against AI art in the first place. These justifications continue to be used by fossil fuel companies in developing ‘biofuelds’, ‘sustainable aviation fuel’, etc., and it’s not possible to falsify that some future iteration of the current harmful technology might exist; meanwhile the companies continue to pollute, often at greater and greater scales. There is a big difference between these companies developing sustainable fuels on the side, and redirecting 100% of their resources to that development. I suspect you might feel the same way about AI safety vs. general AI development.
Maybe we can amend the framing to exclude this somehow, because I really like the rest of this (the nuclear energy example felt particularly salient). To differentiate your examples, nuclear power intended to replace an existing harmful energy source, but AI art doesn’t replace… harmful manual artists? So I would perhaps frame it as occurring only when a promising new technology has potential harms today, but has some long tail of probabilities that could make it less harmful (rather than better) than the technology it replaces.