Skip to content
Forest Global Training Partners
Home Services AI Governance AI Navigators Contact Us
AI Navigators AI Use CasesAI RisksAI Hallucinations Topics Entities Sources
  1. Home
  2. AI Risks
  3. (PDF) Quantifying detection rates for dangerous…

AI Risks December 26, 2024 · researchgate.net

(PDF) Quantifying detection rates for dangerous capabilities: a theoretical model of ... - Research Gate

To summarise, failures in dangerous capability testing may manifest in two ways: higher bias in our estimates of AI danger, or larger lags in …

Read the original at researchgate.net ↗

Topics
Bias & Fairness
Tags
AI Use Case
Tracked via
Google Alert “AI Risks”

Related articles

  • (PDF) Pitfalls of Evidence-BasedAIPolicy - Research Gate AI Risks · Feb 17, 2025
  • (PDF) Security practices in AI development - Research Gate AI Risks · Mar 16, 2025
  • (PDF)AI regulation: still a to-do item on New Zealand's political agenda - Research Gate AI Risks · Dec 22, 2024
  • California's Bill to Regulate FrontierAIModels Undercuts More Sensible Federal Efforts AI Risks · Feb 20, 2024

AI Navigators is a curated research index from Forest Global Training Partners. Articles belong to their publishers; we link to and summarize them.

Contact