Re:Ownership of AI-Generated Code Hotly Disputed
by visarga on Friday December 30, 2022 @12:10PM
(#34187060)
They probably mean using a code search engine to check all snippets. The simplest thing would be am n-gram filter. A more advanced approach would use a code similarity neural net. It's not principled attribution, just locating the most similar example in the training set.
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Re:Ownership of AI-Generated Code Hotly Disputed
by nonrandomstring on Friday December 30, 2022 @12:31PM
(#34187325)
> It's not principled attribution, just locating the most similar
example in the training set.
This is a profoundly important distinction.
Back-tracing data to contributory training examples is a genuine "influenced by" relation. Picking the nearest neighbour to a given result (even if its an exact copy!) cannot say anything useful with respect to origins. And given that there will always be some proximate neighbour, it's really a "misattribution machine".
This is bit like how our broken patent system grants or denies ownership of a design based on similarity to extant art but regardless of actual originality.