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One of the closest related words is lady, and then effeminate, so it's quite unclear exactly what there is to be upset about? In fact it appears it's saying men
by hnuser1234 9y ago
One of the closest related words is lady, and then effeminate, so it's quite unclear exactly what there is to be upset about? In fact it appears it's saying men are related to being effeminate, which should get you excited.
- strawcomb 9y agoWhat a great quantitative evaluation of bias you just carried out.
- hnuser1234 9y agoAlright let me try to be real. After reading http://www.sciencemag.org/news/2017/04/even-artificial-intelligence-can-acquire-biases-against-race-and-gender http://www.sciencemag.org/news/2017/04/even-artificial-intel... and https://en.wikipedia.org/wiki/Implicit-association_test https://en.wikipedia.org/wiki/Implicit-association_test (in that order thank you), it looks like the implicit association test is a good way to magnify small differences (I'm thinking floating point error) in how much you associate one of a few words with a certain other. So, presumably, quantification would really be a natural way to eliminate those types of subtle differences.
- rspeer 9y agoI'm glad we could at least get you to read it, but you're still not caught up. The effect is many orders of magnitude larger than floating point error. The notion that implicit bias could be corrected by quantization (not "quantification") is an interesting hypothesis, with a low prior probability, which could be tested by experiment and easily published if it is true.