@Warma-Sheen said in AI PBs:
At this point, I think there’s value in being able to use GenAI to enhance what you do for as long as you can do it. If you’re a technical writer, use AI to make you a better technical writer so that you can stay working longer than other technical writers who ignore it and do not increase in quality or production.
If you’re a good technical writer, GenAI isn’t going to help you become a better one, it’s only going to help you become a faster one. Of course, in doing so, it’s going to introduce errors into your work that you won’t notice if you’re going fast enough.
Same thing goes for those using GenAI to get the tone right in emails, or to fill in the background of an image, or prototype code, or summarize law briefs, or all of the other relatively reasonable uses of GenAI that I’ve heard of. It doesn’t make you better, it makes you faster.
And when GenAI makes a professional faster, it allows the company to reduce staffing, like you mentioned, but it also introduces errors that slipped through because the now-overstretched staff has to go fast with GenAI to keep up with demand.
So maybe we can’t put the GenAI genie back in the bottle, but we can, and I posit, we should still mock the crap out of companies that can afford it when they use it, and chastise them for taking shortcuts that hurt their workers and are unethical and environmentally unsustainable. At the same time, our higher education and businesses should be working to find out what GenAI is actually good at, and what it can be trained to do (relatively) ethical and environmentally-sustainable methods.