HardOCP News
[H] News
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- Dec 31, 1969
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This entire article talks about the discriminatory problems associated with algorithms and what can be done about it. Racist algorithms? Is the author onto something or just on something?
Another solution, says Venkatasubramanian, is to screen algorithms more rigorously, testing them on subsets of data to see if they produce the same high-quality results for different populations of people. And Crawford says it might be worth training computer scientists differently, too, in order to raise their awareness of the pitfalls of machine learning in regards to race, gender, bias and discrimination.
Another solution, says Venkatasubramanian, is to screen algorithms more rigorously, testing them on subsets of data to see if they produce the same high-quality results for different populations of people. And Crawford says it might be worth training computer scientists differently, too, in order to raise their awareness of the pitfalls of machine learning in regards to race, gender, bias and discrimination.