2 citations · 2 across the 3 of their papers we have counts for
4 papers
Do AI Companies Make Good on Voluntary Commitments to the White House?
Jennifer Wang, Kayla Huang, Kevin Klyman +1
Voluntary commitments are central to international AI governance, as demonstrated by recent voluntary guidelines from the White House to the G7, from Bletchley Park to Seoul. How d…
Distinguishing Task-Specific and General-Purpose AI in Regulation
Jennifer Wang, Andrew Selbst, Solon Barocas +1
Over the past decade, policymakers have developed a set of regulatory tools to ensure AI development aligns with key societal goals. Many of these tools were initially developed in…
Towards Best Practices for Open Datasets for LLM Training
Stefan Baack, Stella Biderman, Kasia Odrozek +36
Many AI companies are training their large language models (LLMs) on data without the permission of the copyright owners. The permissibility of doing so varies by jurisdiction: in…
Observing Context Improves Disparity Estimation when Race is Unobserved
Kweku Kwegyir-Aggrey, Naveen Durvasula, Jennifer Wang +1
In many domains, it is difficult to obtain the race data that is required to estimate racial disparity. To address this problem, practitioners have adopted the use of proxy methods…