One of the biggest challenges with artificial intelligence today is the quality of data. Many models were trained on the internet, full of falsehoods and lies. This is particularly a problem in science, where clean data is paramount — the exact problem that Sarah Dreier, an assistant professor of political science at the University of New Mexico, is going to be working on.

Dreier is joining a team of researchers hoping to develop truly open AI models that will accelerate scientific discovery. The work is being done as part of the Open Multimodal AI Infrastructure to Accelerate Science , or OMAI, project. While a “tough task,” the project’s objective aims to create “more transparent, more open and more flexible” AI models, Dreier said.

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