SAIF is a proposed framework that generates multimodal test prompts from a risk taxonomy, jailbreak tricks, and prompt styles to evaluate generative AI risks in the public sector.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector
SAIF is a proposed framework that generates multimodal test prompts from a risk taxonomy, jailbreak tricks, and prompt styles to evaluate generative AI risks in the public sector.