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1 big thing: AI could soon improve on its own

Axios
| January 27, 2026

A CSET workshop report was highlighted in an segment published by Axios in its Axios+ newsletter. The segment explores the growing push toward automating AI research and development, examining how far AI systems might go in designing, improving, and training other AI models and what that could mean for innovation, safety, and governance.

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The COVID-19 Open Research Dataset is the result of a collaboration between CSET, the Allen Institute for Artificial Intelligence, Microsoft, the National Library of Medicine at the National Institutes of Health (NIH), and the Chan Zuckerberg Initiative in response to a request by the White House OSTP.

How can machine learning advance COVID-19 research? By harnessing the collective insight of more than 29,000 scholarly articles on the coronavirus and creating an open database for researchers. CSET has coordinated a joint database effort called CORD-19.

The CORD-19 venture emerged after the White House OSTP convened industry and academia to marshal artificial intelligence tools to sift through thousands of research articles being published worldwide on the coronavirus.

CSET, along with Microsoft Research, the National Library of Medicine, the Allen Institute for AI, and others, aggregated more than 29,000 papers on the wider coronavirus family for research purposes.

“Once the crisis has passed, we hope this project will inspire new ways to use machine learning to advance scientific research,” said Dewey Murdick, CSET Director of Data Science, of the CORD-19 project.

To create the most extensive machine-readable dataset of coronavirus literature to date, CSET partnered with the White House OSTP, the Allen Institute for AI, Chan Zuckerberg Initiative, and NIH National Library of Medicine.

The COVID-19 Open Research Dataset — CORD-19 — was created in response to a request from the White House’s Office of Science and Technology Policy, harnessing more than 24,000 articles about the COVID-19 disease.

“This valuable new resource is the fruit of unselfish collaboration and now offers the opportunity to find answers to important questions about COVID-19,” said Dewey Murdick, CSET Director of Data Science, who coordinated the cross-team effort.

CSET has coordinated an effort between the White House Office of Science and Technology Policy, the Allen Institute for Artificial Intelligence, and the National Institute of Health’s National Library of Medicine to offer the most comprehensive dataset to date on the coronavirus.

The United States must collaborate with its allies and partners to shape the trajectory of artificial intelligence, promoting liberal democratic values and protecting against efforts to wield AI for authoritarian ends, CSET researchers said in a report released today.