Study Analyzes Race Bias in Software Development

Software developers with white-sounding names may have more success on GitHub than those whose names are perceived as Black, Hispanic, or Asian-Pacific Islander, reports Issie Lapowsky.

Researchers analyzed more than 2 million pull requests made by 365,607 developers on GitHub, using an AI tool that analyzed people's names for perceived race and ethnicity, and found that “being perceived as white on GitHub generally increases a developer's odds of having their ideas accepted.”

Read more at Protocol.

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