top of page
  • Photo du rédacteurHélène Dufour

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.

0 vue0 commentaire

Posts récents

Voir tout

Climate Risk, Insurance Retreat, and State Response

"Private businesses are making actuarial decisions, assessing that some locations are just too vulnerable to insure. At the same time, this insurance retreat also poses a policy challenge for states a


bottom of page