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AI Can Now Help Write Wikipedia Pages For Overlooked Scientists (popsci.com)
An anonymous reader quotes a report from Popular Science: Plenty of prominent scientists have Wikipedia pages. But while checking to see if someone specific has a Wikipedia page is a quick Google search away, figuring out who should be on Wikipedia but isn't -- and then writing an entry for him or her -- is much trickier. For example, you may or may not have heard of Christina Economos. She doesn't have a Wikipedia page about her, although she's a professor at Tufts University and the New Balance Chair in childhood nutrition. But while she lacks a Wikipedia page, she does have a very short stub describing who she is professionally on a website made by a company called Primer. That little blurb, which could one day grow into a full-blown Wiki entry, was created by an AI system dubbed Quicksilver. The idea behind the project is to use AI as a jumping off point. Humans can use it to help them write Wikipedia pages for scientists who don't have them, but deserve to. For example, on Economos' Primer page, there's a link to an article from CBS Boston that mentions her -- a good potential source for a human Wikipedia editor who may want to write an entry for her.
Primer launched officially last year and uses AI to read information and generate reports; part of its focus is doing the kind of work an intelligence analyst might do. Artificial intelligence generally needs data to learn from, and so for this project, Primer used around 30,000 existing scientist Wikipedia pages to train their machine learning systems. Then they fed 200,000 names and related employment information into their AI system. Those names came from the listed authors of scientific papers focused on computer science and biomedical research provided to Primer from the Allen Institute for Artificial Intelligence. If you're curious to see a sample, you can head on over to this page, which has 100 examples of AI-generated Wikipedia blurbs.
Primer launched officially last year and uses AI to read information and generate reports; part of its focus is doing the kind of work an intelligence analyst might do. Artificial intelligence generally needs data to learn from, and so for this project, Primer used around 30,000 existing scientist Wikipedia pages to train their machine learning systems. Then they fed 200,000 names and related employment information into their AI system. Those names came from the listed authors of scientific papers focused on computer science and biomedical research provided to Primer from the Allen Institute for Artificial Intelligence. If you're curious to see a sample, you can head on over to this page, which has 100 examples of AI-generated Wikipedia blurbs.
Little known scientists need an AI to write a Wikipedia entry about them. Yet there are plenty of humans interested in creating Wikipedia pages about any minor sports personality in all languages. Here for instance, I searched an obcure Belgian soccer player in the Finnish version of Wikipedia and found it.
Sport is clearly more important than science it would seem...
"A door is what a dog is perpetually on the wrong side of" - Ogden Nash
I thought it was supposed to be like an encyclopedia, not facebook and linked-in.
Equality, like feminism, has two modern meanings. The polite one when anyone asks what the definition is, and what is practiced. Both now seek a future where women, regardless of merit, are treated better than men in every context.
None of these efforts end even when women do better. There's still thousands of women-only scholarships and tens of thousands of programs to get more women to go to college and give them support when they are there despite being the majority of students and graduates by a large and increasing margin. Not one feminist or person for equality lifts a finger "to close [that] gender gap."
It's all pathetic, evil, doublespeak.