2 résultats pour « interpretability »

Understanding Explainability and Interpretability for Risk Science Applications

The paper explores how advanced technologies like AI pose both potential and complexity in risk and safety applications. It delves into explainability and interpretability within risk science, emphasizing their role in enhancing assessment, management, and communication of risks, illustrated with autonomous vehicles examples. Aimed at stakeholders navigating tech's impact on risk.

Generative AI in Operational Risk Management: Harnessing the Future of Finance

#generativeai AI offers opportunities to enhance #operationalriskmanagement #orm through its ability to analyze #unstructureddata, #simulate #risk #scenarios, and #automate tasks. However, integrating this technology into ORM presents challenges, including #dataquality, #interpretability, #performance validation, #ethicalconsiderations, and organizational readiness.