Miriam Adelson is an accomplished physician who has published around a hundred research papers on the physiology and treatment of addiction. She also runs a high-profile substance-abuse clinic in Las Vegas. Oh, and she’s the publisher of Israel’s largest newspaper and, with her billionaire husband Sheldon, a philanthropist and influential Republican party donor.

Yet Wikipedia does not have an entry for her.

Adelson was among thousands of names flagged by Quicksilver, a software tool by San Francisco startup Primer designed to help Wikipedia editors fill in blind spots in the crowdsourced encyclopedia. Its underrepresentation of women in science is a particular target. The world’s fifth-most-visited website has a long-running problem with gender bias: Only 18 percent of its biographies are of women. Surveys estimate that between 84 and 90 percent of Wikipedia editors are male.

Quicksilver uses machine-learning algorithms to scour news articles and scientific citations to find notable scientists missing from Wikipedia, and then write fully sourced draft entries for them. The draft for Miriam Adelson looks like this:

Miriam Adelson is a doctor and chairman of The Dr. Miriam & Sheldon G. Adelson Clinic for Drug Abuse Treatment and Research.[1] With her husband, Sheldon Adelson, she owns the Las Vegas Review-Journal and Israel Hayom.[2] She was listed by Forbes in June 2015 as having a fortune of $28 billion, making him[sic] the 18th richest person in the world.[3] She has frequently been cited in media reports as the newspaper’s owner, including by JTA.[4]

Quicksilver has already produced 40,000 summaries like that—some are longer and minor glitches are the norm—for both men and women scientists missing from Wikipedia. Primer released a sample of 100 today. The bot doesn’t automatically add its output to Wikipedia. Rather, the summaries it generates are intended to provide a starting point for Wikipedia editors, who can clean up errors and check the sources to prevent any algorithmic slip-ups contaminating the site.

John Bohannon, who led work on Quicksilver at Primer, says the humans toiling to tend Wikipedia need some algorithmic help to make significant progress on filling in the project’s sizeable lacunae. “We can accelerate their production,” he says.

It’s early, but Primer’s software has begun to have an impact. Jessica Wade, a physicist at Imperial College London, got a preview of Quicksilver from Bohannon. She was prompted to write an entry for Joëlle Pineau, head of Facebook’s Montreal AI lab, who Quicksilver noted was missing from the site. “Wikipedia is incredibly biased and the underrepresentation of women in science is particularly bad,” says Wade, who personally added nearly 300 women scientists to the site over the past year. “With Quicksilver, you don’t have to trawl around to find missing names, and you get a huge amount of well-sourced information very quickly.”