Gender

Using artificial intelligence to fix Wikipedia’s gender problem

A San Francisco-based start-up company, Primer, is using an AI-based software tool to scour news articles and write Wikipedia draft entries for notable scientists whose biographies are missing from the online encyclopaedia. The software, called Quicksilver, has produced 40,000 short summaries, and publicly released a sample of 100 today. Its findings are helping researchers to improve the representation of female scientists on Wikipedia, which has a long-running problem with gender bias.

Wired | 3 min read
References: Quicksilver public sample
See also:  “The quest to reveal science’s hidden female faces,” Nature March 2017 ; “Academic writes 270 Wikipedia pages in a year to get female scientists noticed” The Guardian July 2018.