1 citations · 1 across the 2 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2025
AssurAI: Experience with Constructing Korean Socio-cultural Datasets to Discover Potential Risks of Generative AI
Chae-Gyun Lim, Seung-Ho Han, EunYoung Byun +51
The rapid evolution of generative AI necessitates robust safety evaluations. However, current safety datasets are predominantly English-centric, failing to capture specific risks i…
cs.AI2025
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector
Kyeongryul Lee, Heehyeon Kim, Joyce Jiyoung Whang
The rapid adoption of generative AI in the public sector, encompassing diverse applications ranging from automated public assistance to welfare services and immigration processes,…