jphall663 / awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.
Creative Commons Zero v1.0 Universal
3.52k stars 579 forks source link

Consider Public Comments section #329

Open datherton09 opened 2 months ago

datherton09 commented 2 months ago

https://cltc.berkeley.edu/2024/04/01/response-to-ntia-rfc-dual-use-foundation-artificial-intelligence-models-with-widely-available-model-weights/

https://www.nist.gov/itl/ai-risk-management-framework/comments-received-rfi-artificial-intelligence-risk-management