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This survey maps the technological and regulatory landscape of AI-driven industrial Internet of Things (IIoT), addressing the misalignment between applications and their governance, in pursuit of a compliance-by-design approach. The analysis begins with a review of established and state-of-the-art time-series analysis techniques, in addition to their deployment in real-time decision support systems (DSS). Next, these technological trajectories are cross-referenced with AI design principles, evaluated under the umbrella of the European AI Act, ISO/IEC, and other normative standards. By aligning regulations, applications, and systems design, the survey proposes a practical KPI-based approach towards compliance-driven IIoT, contributing to the groundwork for advanced AI system standardization.

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AI Design Principles for Compliance-Driven Industrial IoT Systems

  • 会议论文

  • 发表日期：

    2026年

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  • Flora Amato,
  • Rajib Chandra Ghosh,
  • Alberto Moccardi,
  • Marcello Pelosi

摘要

This survey maps the technological and regulatory landscape of AI-driven industrial Internet of Things (IIoT), addressing the misalignment between applications and their governance, in pursuit of a compliance-by-design approach. The analysis begins with a review of established and state-of-the-art time-series analysis techniques, in addition to their deployment in real-time decision support systems (DSS). Next, these technological trajectories are cross-referenced with AI design principles, evaluated under the umbrella of the European AI Act, ISO/IEC, and other normative standards. By aligning regulations, applications, and systems design, the survey proposes a practical KPI-based approach towards compliance-driven IIoT, contributing to the groundwork for advanced AI system standardization.