Hacker News·3 min read·hard
From Evaluation to Guardrails: What We Brought to ACM FAccT 2026
R
royapakzad
✦AI Summary
Researchers at the ACM FAccT conference argued that AI guardrails require the same level of rigorous evaluation as the underlying models. They emphasized the need for context-specific and language-specific testing to ensure reliable AI deployment.
At ACM FAccT, we demonstrated why AI guardrails need the same scrutiny as models. Moving from static policies to context- and language-specific evaluations, our hands-on session proved that agentic guardrails equipped with tools like web search are vital for reliable, real-world deployment.
technologyscienceai
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