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.
Now AI is going to trash Wikipedia with useless stub articles based on information you can google within 10 seconds That's just what we need.
I'm not a huge fan of Jimmie Wales, but one thing he said made a lot of sense to me-- he commented that at wikipedia they're continually at war with programmers who want to automate things that are better done by a human being... e.g. it's easy enough to send a standard welcome message to every newbie, but because it's a standard message it doesn't mean very much, and it's better to have a culture where actual human beings decide to send out welcome messages...
Automatically generating pages for subjects that a human being couldn't be bothered with sounds like an idea that is perhaps not quite as dumb as letting people vote by cellphoe, but it's getting there.
Another aspect of the project is to make it easier for scientists who are women to get the representation they deserve on Wikipedia—to empower human editors “to close the gender gap in representation of women in science,” Bohannon says. One of the ways that can happen is if a group wants to create more Wikipedia pages with a focus on women scientists, they could use data from Quicksilver, which Bohannon points out is filternable by gender.
This is yet another sexist politically-motivated project, not one that genuinely cares about scientific merit or improving Wikipedia.
Then they fed 200,000 names and related employment information into their AI system.
Before doing this, I sincerely hope Primer got written permission from those "overlooked" scientists.
One reason for not having a Wiki page is because they don't actually want one. Not everybody is a self-promoting narcissist.
politicians are like babies' nappies: they should both be changed regularly and for the same reasons