Date: April 15, 2017
- The researchers found that the system associated European American names with more pleasant words, and African American names with unpleasant words.
- One thing that’s certain in our increasingly automated future is that artificial intelligence will play a increasingly central role in our lives.
- The researchers found that the words “woman” and “female,” for instance, were more associated with arts and humanities jobs and words relating to the family, whereas “man” and “male” were more closely linked with maths and engineering, and words relating to careers.
- Researchers from the University of Washington found that a machine learning tool called “word embedding” can absorb biases hidden in language patterns.
- But while we think of these machines as robotic and logical, they can actually acquire cultural biases around race and gender.
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