Towards Cross-Domain Multimodal Automated Service Regulation Systems

The proliferation of modern digital services has been rapid, prompting the impracticality and inefficiency of developing individual regulatory systems for each domain. The existing regulatory frameworks are notably deficient in providing a succinct abstraction of the commonalities over cross-domain service regulations, thus encountering three primary challenges: the absence of a unified language to represent cross-domain regulation rules, the deficiency of regulation models capable of generalizing over cross-domain regulation rules, and the lack of a reliable mechanism for detecting regulation violations over multi-modal runtime data. This paper introduces an innovative framework, the Automated Service Regulation System (ASRS), which comprises four pivotal components: Representation for Regulation Rules, Data Governance for ASRS, AI for ASRS, and ASRS & Evaluation. A case study in the domain of Urban Management is conducted in accordance with the framework proposed in this work, demonstrating that the urban management regulation process can be effectively streamlined and yield superior results in alignment with the four components of our proposed framework. We contend that our framework amalgamates the hitherto fragmented research on automating service regulation, thereby elucidating the path toward a unified ASRS system and furnishing a resilient and adaptable solution to the dynamic challenges of service regulation.