Stories
Slash Boxes
Comments

SoylentNews is people

Submission Preview

Link to Story

The AI Research Paper Was Real. the “Co-author” Wasn’t

Accepted submission by upstart at 2021-02-21 13:25:12
News

████ # This file was generated bot-o-matically! Edit at your own risk. ████

The AI research paper was real. The “co-author” wasn’t [arstechnica.com]:

David Cox, the co-director of a prestigious artificial intelligence [wired.com] lab in Cambridge, Massachusetts, was scanning an online computer science bibliography [dblp.org] in December when he noticed something odd—his name listed as an author alongside three researchers in China whom he didn’t know on two papers he didn’t recognize.

At first, he didn’t think much of it. The name Cox isn’t uncommon, so he figured there must be another David Cox doing AI research. “Then I opened up the PDF and saw my own picture looking back at me,” Cox [mit.edu] says. “It was unbelievable.”

It isn’t clear how prevalent this kind of academic fraud may be or why someone would list as a co-author someone not involved in the research. By checking other papers written by the same Chinese authors, WIRED found a third example, where the photo and biography of an MIT researcher were listed under a fictitious name.

It may be an effort to increase the chances of publication or gain academic prestige, Cox says. He says he has heard rumors of academics in China being offered a financial reward for publishing with researchers from prestigious Western institutions.It may be an effort to increase the chances of publication or gain academic prestige, Cox says. He says he has heard rumors of academics in China being offered a financial reward for publishing with researchers from prestigious Western institutions.

Whatever the reason, it highlights weaknesses in academic publishing, according to Cox and others. It also reflects a broader lack of rules around the publishing of papers in AI and computer science especially, where many papers are posted online without review beforehand.

“This stuff wouldn’t be so harmful if it didn’t undermine public trust in peer review,” Cox says. “It really shouldn’t be able to happen.”

Cox, who directs the MIT-IBM Watson AI Lab [mit.edu], a collaboration that explores fundamental challenges in AI, was credited as a co-author on two papers in the niche journal Cluster Computing [springer.com]. One paper concerned a machine-learning [wired.com] method for protecting mobile networks from cyberattack; another outlined a networking scheme for a smart transportation system in Macau.

The paper identified by WIRED, about another smart transportation project, listed as one author “Bill Franks,” allegedly a professor in MIT’s electrical engineering department. There is no Bill Franks in MIT’s electrical engineering department. The paper, which appeared in IEEE Transactions on Industrial Informatics, showed a bio and photograph for a real MIT professor, Saman Amarasinghe [mit.edu], alongside the bogus name. Amarasinghe did not respond to requests for comment via email and an MIT spokesperson.

“The article in question has been retracted”

All three papers have since been retracted, and the publishers say they are investigating. But Cox was angered that the journals would publish something so obviously fake in the first place. He says IEEE quickly retracted the paper listing Bill Franks.

“Our investigation found evidence of a violation of IEEE’s policies, and, in accordance with our editorial procedures, the article in question has been retracted,” says Monika Stickel, director of corporate communications and brand marketing at IEEE.

But Cox says it wasn’t until he threatened legal action that Springer Nature, the publisher of Cluster Computing, removed his name from the two papers and issued a retraction. He was told that the journal had received an email confirming him as an author, although that came through a Hotmail address.

“The fundamental challenge that we face is that publishing has, for decades, functioned based on trust,” says Suzanne Farley, research integrity director at Springer Nature. “Unfortunately, it has become clear that there are some individuals and groups who are intent to deceive and abuse this trust, as well as cases in which there are honest mistakes and misunderstanding.”

Farley says sometimes academics do not use an institutional email address, in which case efforts are made to confirm that the address and the author are legitimate.

According to Retraction Watch [retractionwatch.com], a website that tracks cases of academic fraud, one of the Chinese authors, Daming Li, a researcher affiliated with the City University of Macau, blamed the situation on a junior author, Xiang Yao, who is affiliated with a company Zhuhai Da Hengqin Science and Technology Development. Li told the publication that Yao added Cox’s name after “listening to his good ideas” and said the researcher had been fired. Li and Yao did not respond to emailed requests for comment.

Ruixue Jia [ucsd.edu], a professor at UC San Diego who has studied Chinese academia, says the authors may have wanted to “fake some international collaboration, which is often encouraged by universities.”

“Fabricating the appearance of scholarly dialog”

In an earlier example of academic fraud, more than 1,000 papers [retractionwatch.com] were retracted between 2012 and 2015 because one or more of the peer reviewers turned out to be fake, according to Retraction Watch.

Cox says the incident shows how poor the quality of some published academic work is. “In some sense, I think what happened to me was the system working ‘as it should,’” he says. “The whole thing is about fabricating the appearance of scholarly dialog.”

Brent Hecht [brenthecht.com], a researcher at Microsoft and Northwestern University who focuses on ethical issues around computer science, says the lax approach is broader. Many papers are first published without peer review on arXiv, [arxiv.org] a server where researchers can read the latest work. He notes that without peer review the affiliations of authors on these papers can serve as a proxy for legitimacy and quality. “Science works on an economy of credit, so when credit is improperly assigned or gained, everyone loses,” Hecht says.

This story originally appeared on wired.com [wired.com].

← Previous story [arstechnica.com]


Original Submission