Operational Governance Controls for AI Data Operations: A Scenario-Based Review Framework
This ACM proceedings article presents a scenario-based review framework for operational governance controls in AI data operations. It focuses on how data collection, processing, quality control, and compliance review can be organized as practical governance checkpoints for trustworthy AI development.
Published by ACM as a proceedings article. DOI: 10.1145/3816713.3816740. Authors: Shuo Han and Ning Mou. Pages 1-11. Published online on June 16, 2026.
AI数据运营的治理控制：基于场景的审查框架
这是一篇 ACM 会议论文集文章，提出面向AI数据运营治理控制的场景化审查框架。文章重点讨论如何将数据采集、处理、质量控制与合规审查组织为支撑可信 AI 开发的实践性治理检查点。
本文作为 ACM 会议论文集文章发表。DOI：10.1145/3816713.3816740。作者：Shuo Han、Ning Mou。页码：1-11。在线发布日期：2026年6月16日。