Reply to YCBK Podcast Episode re College Admissions' use of AI Detection Programs

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[quote=Anonymous][quote=Anonymous][quote=Anonymous][quote=Anonymous]So I put this essay into Originality.ai (what TurnitIn is based off of):

https://apply.jhu.edu/hopkins-insider/the-art-of-imperfection/
99% Likley AI in the document (the doc is pretty red)

https://apply.jhu.edu/hopkins-insider/finding-purpose-in-trivial-projects/
97% Likely AI

https://apply.jhu.edu/hopkins-insider/korean-sticky-notes/
60% Likely Original (green)

https://apply.jhu.edu/hopkins-insider/being-the-handyman/
100% Likely AI (all red)

Then, I went to the 2016 essays:

https://apply.jhu.edu/hopkins-insider/the-palate-of-my-mind/
99% Likely AI (all red)

UVA Essays:
2019:

Stories from Porch Swing here:
https://uvamagazine.org/articles/how_to_write_your_way_into_uva
69% Likely original (mostly green)

My Mom's Gifts to Me:
https://uvamagazine.org/articles/how_to_write_your_way_into_uva
54% Likely Original (mostly green)

What is going on?

[/quote]

Yup. These AI detection programs are notoriously inaccurate.

That said, is it possible these essays and articles get flagged as AI-authored because they're already in the public domain (have been on the internet for a long time) and are therefore part of the AI training materials? (But in contrast, a brand-new, original article or essay, never before published on-line or fed to an AI would not be flagged in the same way?)

I'm just guessing here. I know very little about AI detection but am now quite interested.

[/quote]

No, that's not how AI works. Then every NYT opinion article or FT essay would be too.
It's based on writing style - if you look at the details, the sentences that are most "Red" are the ones that sound formulaic and robotic.
I wonder if its Grammarly? Tri colons? Oxford commas? Etc.[/quote]

Gotcha. Thanks. [/quote]

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