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.

Machine learning & AI

A study finds gender bias in music recommendation algorithms

Although the problem of gender discrimination is already found in the music industry, music recommendation algorithms would be increasing the gender gap. Andrés Ferraro and Xavier Serra, researchers of the Music Technology ...

Internet

Twitter unveils algorithmic fairness initiative

Twitter said Wednesday it was launching an initiative on "responsible machine learning" that will include reviews of algorithmic fairness on the social media platform.

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