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US pushes AI research but defers big tech data demands

With new project to study advanced computing, NSF doesn鈥檛 ask major online companies to share secrets but hopes they eventually will

Published on
February 3, 2024
Last updated
February 3, 2024
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The US National Science Foundation is聽making a聽major new effort to聽improve academic research into artificial intelligence, pulling major technology companies into a聽partnership that it聽hopes will soften their longstanding reluctance to聽sharing their vast and valuable datasets.

, known as the National Artificial Intelligence Research Resource (NAIRR), is聽the opening stage 辞蹿听the NSF鈥檚 effort to聽comply with President Joe Biden鈥檚 call last October for an聽aggressive government-led campaign to聽figure out ways the nation can fully exploit the astounding potential 辞蹿听AI while guarding against its staggering risks.

The NAIRR initiative also comes amid a history 辞蹿听antagonisms between major companies such as Facebook and Google 鈥 which have built globally dominant multibillion-dollar industries based on their massive collections of detailed data on individuals and their thoughts and behaviours 鈥 and the academic researchers who want access to that information to precisely identify new opportunities and threats.

Among some recent examples, the social media platform long known as Twitter sued a group of independent researchers who published an investigation into its tolerance of hate speech. Facebook disabled all accounts associated with New York University鈥檚 Ad聽Observatory Project, including faculty, after it persisted with automated attempts to monitor the site. And one of the nation鈥檚 top media disinformation experts, Joan Donovan, accused Harvard University 辞蹿听ousting her to please Facebook after its owner offered the Ivy League institution a $500聽million (拢400聽million) donation.

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Such instances of corporate obstruction have been accompanied by a drumbeat 辞蹿听expert warnings about聽AI鈥檚 potential to bring the world untold magnitudes of benefit and danger. That has left Mr聽Biden determined to quickly boost cooperation on research into聽AI. 鈥淲e need to govern this technology,鈥 the president said in ordering a government-wide response in October. 鈥淭here鈥檚 no聽other way around聽it.鈥

As the US government鈥檚 chief funder of academic research outside medical fields, the NSF was tasked under Mr聽Biden鈥檚 plan to create NAIRR and assemble an array of academic and private-sector partners for it. Those agreeing to join include industry titans Google, Facebook, Microsoft, Intel and IBM.

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At its initial stage, however, NAIRR participation does not require 鈥 and the NSF did not request 鈥 that the companies make any new commitments on data sharing.

NSF officials said that is largely because they have just begun establishing the outlines of NAIRR and did聽not feel it was necessary or even wise to jump immediately into debates over controversial details of data sharing. Instead, NSF officials said in interviews, they hope that the NAIRR framework will bring corporate and academic partners together in a way that gradually builds up their trust to the point where such questions become easier to solve.

鈥淭hat is going to be a continuing area鈥 of attention for NAIRR, said one NSF official. 鈥淚t鈥檚 absolutely key to make sure that researchers are getting access to the datasets that can serve their work.鈥

Some researchers involved in such work said they were eager for better access to corporate datasets but understood the NSF鈥檚 position at this point.

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One of them, Laura Edelson, an assistant professor of computer sciences at Northeastern University, was at NYU in 2021 when she was among the researchers penalised by Facebook over the Ad聽Observatory Project. She has been pushing for federal legislation that would require such companies to share more of their data, but she said she recognised the caution that the NSF must show in matters that could anger the even-more-partisan assembly of lawmakers who vote on its budget.

鈥淚n an ideal world, this wouldn鈥檛 be a politicised issue,鈥 Professor Edelson said. 鈥淏ut as to who should push back 鈥 the NSF really can鈥檛.鈥

Deen Freelon, a professor of communication at the University of Pennsylvania, said he, too, sees that a firm demand of data access at this stage of the industry-university collaboration could short-circuit NAIRR鈥檚 chances of long-term success. 鈥淚聽don鈥檛 doubt that a hard line on data sharing might have resulted in the companies walking away,鈥 he聽said.

And the urgency of any such action in the US might be getting diminished either way, said Kate Cell, the senior climate campaign manager at the Union of Concerned Scientists. That鈥檚 because the European Union has a new policy major online companies to make data available to outside researchers, Ms聽Cell said. The companies, therefore, hopefully will 鈥渉ave to do this anyway鈥, she said.

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The expansion of data access beyond the companies is critical, said Brandi Geurkink, executive director of the Coalition for Independent Technology Research, which represents academics and others defending the right to study the effects of technology on society.

鈥淭ech corporations have time and time again either resisted or sabotaged voluntary efforts to provide researchers with data,鈥 Ms Geurkink said.

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paul.basken@timeshighereducation.com

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