RiskNet releases a large-scale dataset of aligned and annotated AI risk incidents extracted from news via a structured processing pipeline, along with benchmark subsets and an online exploration platform.
Technical Report NIST AI 100-1, National Institute of Standards and Technol- ogy (U.S.), Gaithersburg, MD (January 2023)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces phenomenological model R_eff = β(1-ρ)(1-τ)(1-γρτ) for coordination under AGI decision velocity, with phase transition and proposed randomized trial.
citing papers explorer
-
RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations
RiskNet releases a large-scale dataset of aligned and annotated AI risk incidents extracted from news via a structured processing pipeline, along with benchmark subsets and an online exploration platform.
-
Civilizational Metamaterials: Engineering Coordination Under Capability Gradients and Structural Turbulence
Introduces phenomenological model R_eff = β(1-ρ)(1-τ)(1-γρτ) for coordination under AGI decision velocity, with phase transition and proposed randomized trial.