AI 中文总结
针对加拿大人工智能监管碎片化问题，提出SCITUS框架，它能将NIST AI RMF 1.0同时适配到加联邦和省级法规，整合多种要素，通过多场景展示适用性，为多辖区合规提供了更优模式及可复制模型。
AI 中文摘要
加拿大组织在部署人工智能系统时面临碎片化的监管格局，包括联邦要求及不同省份的法规。2025年1月法案夭折，2026年6月联邦政府表示将采用针对性工具而非综合人工智能立法，这使组织缺乏统一合规指导。全球框架虽有价值，但缺乏适应多辖区国情的系统方法。我们提出SCITUS框架，它能同时将NIST AI RMF 1.0适配到加拿大联邦和省级人工智能法规，整合了针对加拿大要求增强的七个可信人工智能特征、四个核心治理功能、一种新的多辖区合规映射方法以及一个版本化控制目录。我们通过多场景展示了其适用性，并指出系统适配比逐个辖区合规更具优势，还为其他联邦系统提供了可复制模型。
英文摘要
Canadian organizations deploying artificial intelligence systems face a fragmented regulatory landscape spanning federal requirements (the Treasury Board Directive on Automated Decision-Making) and divergent provincial regulations across Ontario, Quebec, Alberta, Manitoba, and British Columbia. The death of Bill C-27 (Artificial Intelligence and Data Act) in January 2025 - and the federal government's June 2026 confirmation that it will pursue targeted instruments rather than omnibus AI legislation - leaves organizations without unified compliance guidance. Global frameworks such as NIST AI RMF 1.0, the EU AI Act, and ISO/IEC 42001 provide valuable guidance but lack systematic methodologies for adaptation to multi-jurisdictional national contexts. We present SCITUS (Systematic Canadian Integration for Trustworthy and Unified Standards), a comprehensive framework adapting NIST AI RMF 1.0 to Canadian federal and provincial AI regulations simultaneously. SCITUS integrates seven trustworthy-AI characteristics enhanced for Canadian requirements, four core governance functions, a novel multi-jurisdictional compliance mapping methodology, and a versioned control catalog that has evolved from 31 controls (v1.0, June 2025) to 57 controls (v2.0, July 2026) in response to regulatory developments - including Canada's first regulatory findings on generative-AI training data - and the documented 2026 agentic-AI threat landscape. We demonstrate applicability through scenarios spanning federal government, provincial healthcare, and the private sector, and argue that systematic adaptation of NIST AI RMF to multi-jurisdictional requirements offers significant advantages over jurisdiction-by-jurisdiction compliance and provides a replicable model for other federal systems.
Comments74 pages, 1 figure. SCITUS Framework v2.0 (July 2026). Framework documentation: https://scitus.ca/scitus-framework
