this post was submitted on 21 Jul 2025
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Thanks for that little extra in the title.
Machine learning (well, more specifically, the marketing term "AI") has a bad reputation. It's a tool. And we're so used to seeing that tool wildly abused that it's hard not to have an instinctual reaction whenever it appears in the media. But recognising writing and text is one of the legitimately reasonable uses of the tool, so long as it's done properly and not misunderstood as an objective replacement for humans - it may have better accuracy that a typical person but still it's not objective and its training data will inevitably have limitations.
It consistently amazes me on the level of inability people have when it comes to simple tasks like filling in a ballot.
Now, I understand that I have advantages that not everyone has, like over a decade of local school experience filling exams, so I shouldn't consider what's natural and obvious to me to be universal expected knowledge. But at some point, the government and AEC should just have a mandatory 30 minute voting test when you enroll, so you have no excuse not to know how to print numbers clearly (hell, teach us about ~~7~~ and other good habits), so you know how to read simple English voting instructions or know how to ask for assistance if you're unable for any reason.
We collectively need to stop using "AI" to refer to "generative AI". Specialized AI, or rather machine learning, can be extremely useful.
AI is an umbrella term that covers many things. Why would we stop using it?
Because it's too vague.
It could mean the useless silicon-valley venture that is being slotted into everything and making it worse (generative AI), or it could mean clustering algorithms that are indispensable in everything from medicine to meteorology (machine learning).