Runtime verification and AI : addressing pragmatic regulatory challenges

Abstract

The deployment of AI-driven solutions to increasingly complex tasks with real-world impact raises various challenges in the area of verification. Using the case study of an AI-assisted litter detection being developed for rural areas in Malta, this paper highlights the multi-faceted nature of the risks involved concerning: data issues, functionality correctness, safety concerns, and legal considerations. We place particular focus on the last of these: regulatory challenges. Drawing inspiration from related works, considering applicable Maltese technology guidelines and EU legislation, against the backdrop of the challenges presented in the case study, the proposed runtime verification architecture brings the pieces together in a comprehensive and pragmatic manner. [excerpt]