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by coldtea
3552 days ago
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>Machine learning does not have less bias than human researchers. It is simply magnified at scale. Scale differences can and often do lead to qualitative differences. Individual (or aggregate) human researchers are not hooked up in huge services to make inferences and deductions automatically about billions of people. Besides those machine learning tools, beside the huge data sets, are programmed in their general framework by human researchers, and are given weights, constraints, and fine-tuning by them, so they have both kinds of biases. >But sure demonizing the things you don't like is one step on the path to learning what's truly valuable. So, kind of like disparaging via a straw-man a speech that offers detailed argumentation? |
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Yes they (we) are. It's the same data set. TV, movies, papers, internet videos et al. is all the same biased, labeled data that is being fed (watched, listened to etc...) to machines. You automatically make inferences and deduce things about people based on labeling and training of your brain. You're constantly fine tuning by getting new weights about things through interactions with others and media.