Not irrational to be concerned for a number of reasons. Even if local and secure AI image processing and LLMs add fairly significant processing costs to a simple task like this. It means higher requirements for the browser, higher energy use and therefore emissions (noting here that AI has blown Microsoft’s climate mitigation plan our of the water even with some accounting tricks).
Additionally, you have to think about the long term changes to behaviours this will generate. A handy tool for when people forget to produce proper accessible documents suddenly becomes the default way of making accessible documents. Consider two situations: a culture that promotes and enforces content providers to consider different types of consumer and how they will experience the content; they know that unless they spend the 1% extra time making it accessibile for all it will exclude certain people. Now compare that to a situation where AI is pitched as an easy way not to think about the peoples experiences: the AI will sort it. Those two situations imply very different outcomes: in one there is care and thought about difference and diversity and in another there isn’t. Disabled people are an after thought. Within those two different scenarios there’s also massively different energy and emissions requirements because its making every user perform AI to get some alt text rather than generate it at source.
Finally, it worth explaining about Alt texts a bit and how people use them because its not just text descriptions of an image (which AI could indeed likely produce). Alt texts should be used to summarise the salient aspects of the image the author wants a reader to take away for it in a conscise way and sometimes that message might be slightly different for Alt Text users. AI can’t do this because it should be about the message the content creator wants to send and ensuring it’s accessible. As ever with these tech fixes for accessibility the lived experience of people with those needs isn’t actually present. Its an assumed need rather than what they are asking for.
I won’t rehash the arguments around “AI” that others are best placed to make.
My main issue is AI as a term is basically a marketing one to convince people that these tools do something they don’t and its causing real harm. Its redirecting resources and attention onto a very narrow subset of tools replacing other less intensive tools. There are significant impacts to these tools (during an existential crisis around our use and consumption of energy). There are some really good targeted uses of machine learning techniques but they are being drowned out by a hype train that is determined to make the general public think that we have or are near Data from Star Trek.
Addtionally, as others have said the current state of “AI” has a very anti FOSS ethos. With big firms using and misusing their monopolies to steal, borrow and coopt data that isn’t theirs to build something that contains that’s data but is their copyright. Some of this data is intensely personal and sensitive and the original intent behind the sharing is not for training a model which may in certain circumstances spit out that data verbatim.
Lastly, since you use the term Luddite. Its worth actually engaging with what that movement was about. Whilst its pitched now as generic anti-technology backlash in fact it was a movement of people who saw what the priorities and choices in the new technology meant for them: the people that didn’t own the technology and would get worse living and work conditions as a result. As it turned out they were almost exactly correct in thier predictions. They are indeed worth thinking about as allegory for the moment we find ourselves in. How do ordinary people want this technology to change our lives? Who do we want to control it? Given its implications for our climate needs can we afford to use it now, if so for what purposes?
Personally, I can’t wait for the hype train to pop (or maybe depart?) so we can get back to rational discussions about the best uses of machine learning (and computing in general) for the betterment of all rather than the enrichment of a few.