• DOI:10.1126/science.aal4230
Corpus ID: 23163324

Semantics derived automatically from language corpora contain human-like biases

@article{Caliskan2017SemanticsDA,
  title={Semantics derived automatically from language corpora contain human-like biases},
  author={A. Caliskan and J. Bryson and A. Narayanan},
  journal={Science},
  year={2017},
  volume={356},
  pages={183 - 186}
}

A. Caliskan, J. Bryson, A. Narayanan

Published 2017

Computer Science, Medicine

Science

Machines learn what people know implicitly AlphaGo has demonstrated that a machine can learn how to do things that people spend many years of concentrated study learning, and it can rapidly learn how to do them better than any human can. Caliskan et al. now show that machines can learn word associations from written texts and that these associations mirror those learned by humans, as measured by the Implicit Association Test (IAT) (see the Perspective by Greenwald). Why does this matter… CONTINUE READING

View on AAAS

purehost.bath.ac.uk

Save to Library

Create Alert

Cite

Launch Research Feed