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The central point of this garbage article is that authoritarian regimes that use machine learning will fail because they'll be misled by biased outputs. Titledr
by quotemstr 7y ago
The central point of this garbage article is that authoritarian regimes that use machine learning will fail because they'll be misled by biased outputs. Titledropping Scott's famous book is just for flavor. As one of the comments says, the article equivocates between "bias" as injustice and "bias" as error. Authoritarian regimes can use machine learning just fine.
The rest of the comments are just bizarre, with claims like there's no difference between dictatorships and democracies because "totalitarianism" is just a "colonialist" category. And this blog wants to make the claim that it's China that's detached from reality?
Machine learning's real problem is in the west, which has a very difficult time accepting unpleasant facts even when fair ML systems produce them. It's the west, not a place like China, that's going to be misled by accepts to "fix" machine learning.
- whodidntante 7y agoDownvoted ? Really ? Must have hit a nerve somewhere. "Machine learning's real problem is in the west, which has a very difficult time accepting unpleasant facts even when fair ML systems produce them.' For example, "proof" that bias exists in an institution due to a statistical difference between its distribution of identity groups and the general population. Will be interesting when these type of rules become part of our ML overlords. True story: I took a science course in school a long time ago when my lab partner used the calibration knob in the back of the voltmeter to get exactly 5 volts out of the power source. Found this out only after we kept getting very odd results.