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Timnit Gebru, the founder of the Distributed Artificial Intelligence Research Institute, called for scholars to employ more ethical approaches in artificial intelligence research at an event hosted Tuesday by the Radcliffe Institute for Advanced Study.
During her talk, part of a Radcliffe lecture series on artificial intelligence, Gebru shared her vision for interdisciplinary AI and her calls for changes in academia. Gebru delivered a virtual talk to attendees, followed by a Q&A with Himabindu “Hima” Lakkaraju, an assistant professor at Harvard.
The conversation began with an introduction to DAIR, which works with researchers from different backgrounds to conduct research around the world. Gebru said traditional research practices can often be “exploitative.”
“We see this a lot, where we have people in one community that have specific types of knowledge, and then people in the academic and research community that go to this community, and without supporting them or collaborating with them, [take] this knowledge,” Gebru said.
“And this group of people whose knowledge was extracted from are not getting any of [the] benefits,” she added.
She spoke about “the publishing rat race” — expectations in academia that researchers must publish lots of work in short periods of time. Gebru said her institute seeks to create a more sustainable working environment for researchers.
“We have a limit, and we want to be healthy and thriving researchers, and we can’t do our best work if we're not healthy and thriving,” she said.
Before founding DAIR, Gebru was a co-lead of the Ethical AI working group at Google. In December 2020, Google fired Gebru over controversy concerning a paper the working group published.
During the Q&A portion of the event, Gebru focused on her vision for the future of DAIR and AI research. She said she hopes to build “a thriving group of researchers who are healthy, who are embedded in their communities.”
She added that she hopes to see the field support organizations with diverse researchers.
Gebru said the “academic incentive structure” requires major changes in order to move toward more ethical AI research.
“We need to change the dynamics such that students, adjuncts, all non-tenure people, etc., have a lot more power to push back,” she said.
To close out the talk, Gebru called on universities to “pass the mic and pass the resources.”
“You have to make sure that the people who are usually at the margins have a seat at the table,” she said.
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