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'Slap in the face': Images of Canadian child abuse victims training AI generators
(www.winnipegfreepress.com)
this post was submitted on 23 Dec 2023
25 points (82.1% liked)
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I'm not sure about guarantee. That implies perfection which is never attainable in anything. But requiring transparent evidence of due diligence is certainly doable. As are penalties for failure to meet some kind of standard.
It's past time to institute "grading standards" on large datasets. I have in mind the same kind of statistical standards that are applied in various kinds of defect and contamination analysis. For example, nobody ever guarantees that your food is free of animal feces, only that a fair and representative sample didn't find any.