RSam Podcast podcast

Machine Learning (Still) Has a Pseudoscience Problem | Mel Andrews

2.11.2026
0:00
1:31:09
15 Sekunden vorwärts
15 Sekunden vorwärts

Mel Andrews is a philosopher of science and technology investigating the human use and misuse of mathematical and computational tools in science and societal decision-making. Mel earned a doctorate in philosophy in 2025 from the University of Cincinnati with a thesis titled ‘The Math & the Territory: On the Scientific Uses & Abuses of Machine Learning & Other Mathematical Modelling Strategies.’ Currently, Mel is a postdoctoral research associate jointly affiliated with the Center for Information Technology Policy (CITP) at Princeton University and the Natural and Artificial Minds Initiative (NAM) of the Princeton AI Lab. Mel’s also the principal investigator on a grant from the Alfred P. Sloan Foundation’s Metascience and AI funding scheme assessing the epistemic credentials of AI in science evaluation.


You can find more of Mel’s work at https://mel-andrews.com/ and https://bsky.app/profile/bayesianboy.bsky.social


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