this post was submitted on 21 Jul 2025
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Liberal candidate Gisele Kapterian has appealed her narrow loss to Nicolette Boele in Bradfield to the court of disputed returns. According to Professor Anne Twomey, no questions of law are raised in Kapterian’s challenge. Rather, the court is being asked to determine more mundane questions. Is that 1 actually a 7; is that 6 an 8? and so on.

...

The last time the courts considered questions about ballot formality was in 2007 from the seat of McEwen. The resulting federal court case produced one of the more unusual judgments one will find in Australian law reports. Mitchell v Bailey (No 2) ****contains a lengthy tabular schedule, listing the disposition of 643 reserved ballots and – in 153 instances – reasons for Justice Richard Tracey’s assessments about ballot formality differing from those of the AEC. Examples include comments such as “Notations reasonably resemble numbers. In particular, three of them can be recognised as figures 7, 6, 5.” Why? How? Presumably, they just did to Tracey, just as they did not to AEC officials. No criticism of the late justice is intended; the point is to highlight just how subjective and hence seemingly unfair these assessments – and election outcomes – can appear.

...

Here’s a modest proposal. For decades we’ve been training computers to recognise handwritten digits, principally for making mail processing and delivery more efficient. Massive datasets of real, handwritten digits have become one of the touchstones of machine learning, test beds for refining algorithms and global competition among researchers. The best algorithms have 99.82% accuracy in recognising digits. And the AEC itself uses digital scanning to process Senate ballot papers.

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[–] eureka@aussie.zone 0 points 2 days ago (6 children)

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.

Rather, the court is being asked to determine more mundane questions. Is that 1 actually a 7; is that 6 an 8? and so on.

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.

[–] Tenderizer@aussie.zone 2 points 1 day ago (2 children)

We collectively need to stop using "AI" to refer to "generative AI". Specialized AI, or rather machine learning, can be extremely useful.

[–] DavidDoesLemmy@aussie.zone 1 points 18 hours ago (1 children)

AI is an umbrella term that covers many things. Why would we stop using it?

[–] Tenderizer@aussie.zone 1 points 9 hours ago

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).

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