Computer Sciences

Algorithms that adjust for worker race, gender still show biases

Even after algorithms are adjusted for overt hiring discrimination, they may show a subtler kind: preferring workers who mirror dominant groups, according to a new study from researchers at The University of Texas at Austin.

Computer Sciences

English bias in computing: Images to the rescue

So many languages; and yet English is allowed almost total domination when it comes to the AI technology Machine Learning (ML). If, for example, researchers are training a computer in grasping the content of a random text, ...

Computer Sciences

Busting anti-queer bias in text prediction

Modern text prediction is far from perfect—take, for instance, when a search query suggests something completely different from your intention. But the trouble doesn't end at inaccuracy. Text prediction can also be extremely ...

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