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global aspects of AI governance and impacts, for example
ethics dumping, labelling,
climate impacts of AI use,
negative impacts of labour flows e.g. concentration of wealth & expertise in global north.
With thanks to an anonymous paper reviewer for these (bullet-point-ified by me) comments.
I think our closest existing label is reinforces existing bias and these could be examples of reinforcing global biases. Maybe also implies that we need a look at our definition of reinforces existing bias so that it's clear that the remit is not just internal bias, but also like real/tangible biased circumstances that people face.
The text was updated successfully, but these errors were encountered:
global aspects of AI governance and impacts, for example
With thanks to an anonymous paper reviewer for these (bullet-point-ified by me) comments.
I think our closest existing label is reinforces existing bias and these could be examples of reinforcing global biases. Maybe also implies that we need a look at our definition of reinforces existing bias so that it's clear that the remit is not just internal bias, but also like real/tangible biased circumstances that people face.
The text was updated successfully, but these errors were encountered: