AI Beats Human Sleuth at Finding Problematic Images in Research … – Slashdot
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Increase the volume until the human has to reduce the quality of his work to keep up. Indeed, this is the basis of the expected economic imporance of AI: scalability. AI is a way of getting cheap mediocrity. Mediocrity is by definition “not bad” so that’s an economic win.
But in this case, it’s not an impressive “win” for AI. Does it really suprise anyone that software can scan a huge body of data and be better at picking up duplications than a human would be?
It can be both, but in this case the nature of the algorithm doesn’t seem that important.
Does it really suprise anyone that software can scan a huge body of data and be better at picking up duplications than a human would be?
Does it really suprise anyone that software can scan a huge body of data and be better at picking up duplications than a human would be?
Well, image duplication is only one of many types of fraudulent image use in scientific papers; it would be nice if the AI could also find other types of manipulation. But, yes, I’d think that finding duplications is work that a computer would be particularly well suited for, and if a computer can do that work, well, it should.
And re-use of an image isn’t in itself fraud. It’s using the same image but labeling it as different things that’s fraudulent. If it’s “diagram of the laser probe station used for tr
What would happen if you told an AI to create photographs and images and then even an AI couldn’t detect?
I suspect we’d really be doomed as we’d never know if it’s truth or fiction.
Sorta like when they had the ship’s computer create an opponent that could outsmart Data on ST:TNG.
Agree. But with classical algorithms you would need to register the images, to account for magnification and cropping. Probably also other things, like color v grayscale.
Anyway, detecting academic fraud is really cool. Please see the work of researchers who took down Harvard Business Professor Francesca Gino. Read post 109. You’ll never look at Excel the same way.
https://datacolada.org/ [datacolada.org]
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