Artificial-intelligence search engines wrangle academic literature

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Developers want to free scientists to focus on discovery and innovation by helping them to draw connections from a massive body of literature

For a researcher so focused on the past, Mushtaq Bilal spends a lot of time immersed in the technology of tomorrow.

Pulling from his background as a literary scholar, Bilal has been deconstructing the process of academic writing for years, but his work has now taken a new tack. “When ChatGPT came on the scene back in November, I realized that one could automate many of the steps using different AI applications,” he says.

Bilal uses AI tools to follow connections between papers down interesting rabbit holes. While researching descriptions of Muslims in Pakistani novels, AI-generated recommendations based on his searches led Bilal to Bengali literature, and he ultimately included a section about it in his dissertation. For his postdoc, Bilal is studying how Danish author Hans Christian Andersen’s stories were interpreted in colonial India.

“I consider myself a visual learner, and the map visualization is not something I’ve seen before,” Yisa says. He’s currently using the tools to identify papers for a review on vaccine equity, “to see who is talking about it at the moment and what is being said, but also what has not been said”.

 

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