5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CL2023
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration
Hwaran Lee, Seokhee Hong, Joonsuk Park +10
The potential social harms that large language models pose, such as generating offensive content and reinforcing biases, are steeply rising. Existing works focus on coping with thi…
cs.AI2023★ 5 cited
Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework
Sangchul Park
As debates on potential societal harm from artificial intelligence (AI) culminate in legislation and international norms, a global divide is emerging in both AI regulatory framewor…