Michael Hsu, in his newest paper, discusses potential changes in AI models to make them more accurate for use in financial industries. Hsu suggests a shift in language-based models to focus on how results are formed rather than interpretability. He ultimately argues that this shift could help financial industries use AI on a larger scale with less errors.

To read more at Substack, click here

All views expressed by members are their own and not reflective of the views of the Bretton Woods Committee.