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Zheng Dai

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Zheng Dai on Causal attribution in AI outputs. Explore 1 viewpoint by topic, with evidence from 1 source.

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Causal attribution in AI outputs

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Dai ties a data item’s effect to changes in output

Zheng Dai says that if removing a piece of training data leaves the model’s output unchanged, that piece of data did not affect the output.

Supporting evidence

When AI art has no author: MIT study finds generated images often can't be traced to any training data | MIT CSAIL

Original excerpt

If you take away a piece of data and the output of the model doesn’t change, then that piece of data didn’t affect the output
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Statements are ordered by the original source publication date; differences in wording do not establish a change of position.