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Can someone explain this line to me? >In addition to setting the confidence threshold far too low, the Rekognition results can be significantly skewed by using
by barbarr 8y ago
Can someone explain this line to me?
>In addition to setting the confidence threshold far too low, the Rekognition results can be significantly skewed by using a facial database that is not appropriately representative and therefore is itself skewed. In this case, ACLU used facial database of mugshots that that may have had a material impact on the accuracy of Rekognition findings.
- deleted 8y ago[deleted]
- noodlenotes 8y agoOne of the complaints by the ACLU was that 39% of the false matches of congressmen to mugshots were people of color, even though only 20% of congressmen are PoCs. This is a subtle way of saying that the mugshot dataset is probably not representative of the US population as a whole because it overrepresents PoCs. Although, it's important to note that machine learning algorithms generally have a more difficult time with darker skin because of lower contrast (see scandals on Google identifying black people as gorillas and cameras not auto-focusing on black people). It is a legitimate concern that black people may be misidentified more often with any machine learning algorithm.
- l9k 8y agoWhat I find problematic is no one can say that people with darker skin (or from any ethnicity in particular) are harder to identify precisely without offending people and being accused of racism/bias. But we have no objective proof that every one is as recognizable as another.
- Fomite 8y agoI know a number of researchers in ML who have stated this and been fine.