Adapting Probabilistic Risk Assessment for AI
This page provides access to the research paper detailing the conceptual foundations, methodology, rationale, and context for the PRA for AI framework.
Citation:
Wisakanto, A. K., Rogero, J., Casheekar, A. M., & Mallah, R. (2025). Adapting Probabilistic Risk Assessment for AI. arXiv preprint arXiv:2504.18536. [cs.AI] 25 Apr 2025.
The paper covers:
- The landscape of AI risk and limitations of current assessment methods.
- The adaptation of traditional PRA techniques for AI systems.
- Detailed explanations of Aspect-Oriented Hazard Analysis, Risk Pathway Modeling, and Uncertainty Management.
- The structure and intended use of the framework components.
- Discussion of applications, limitations, and future research directions.
Preprint released April 2025.
The paper is available on this link.