Using Interpretability to Identify a Novel Class of Alzheimer's Biomarkers(goodfire.ai)

2 pointsby keedavor 5 Monaten1 comments

Using Interpretability to Identify a Novel Class of Alzheimer's Biomarkers

https://www.goodfire.ai/research/interpretability-for-alzheimers-detection

1 comments

keedavor 5 Monaten

Fascinating study where they trained an AI model on a large dataset and then used interpretability analysis to figure out what biomarkers it had "learned" to look for.

"This is the contribution we want to highlight: interpretability as a tool for hypothesis triage. Foundation models learn from data at a scale humans can't match. If we can inspect what they've learned we can use that to guide experimental priorities, turning AI models into a source of testable hypotheses rather than a black box."