聚焦跨境数据流通、隐私计算和企业数据治理实践，邀请专家与会员围绕合规、技术和落地路径进行交流。The salon focuses on cross-border data flows, privacy computing, and enterprise data governance practices, inviting experts and members to discuss compliance, technology, and implementation paths.
- 活动时间Event Time
- 2026年6月13日 10:00June 13, 2026 10:00
- 活动类型Type
- 协会活动HATID Event
- 发布单位Organizer
- HATID
活动详情Event Details
活动导语
数据治理与隐私计算专题沙龙聚焦企业数据流通和隐私保护之间的平衡，面向会员单位、研究者和数据合规负责人开放。
活动要点
- 讨论跨境数据流通中的合规边界。
- 交流隐私计算在金融、医疗和制造场景中的应用条件。
- 梳理企业数据治理制度和技术治理协同路径。
活动背景
随着数据成为关键生产要素，企业在数据开放、模型训练和跨机构协作中面临更高的合规与安全要求。
主要内容
沙龙将采用专题分享和圆桌讨论结合的形式，围绕数据分类分级、隐私计算技术路线、数据出境评估和多方协作治理展开。活动不会提供法律意见，而是从技术治理和组织流程角度提出参考。
参与对象
- 数据平台、风控、合规和安全负责人。
- 隐私计算和数据治理方向研究者。
- 关注数据要素流通的会员和合作机构。
活动安排
活动设置两场主题分享和一场闭门圆桌。运营中心将在会后整理不涉及敏感信息的公开摘要。
预期成果
活动将形成数据治理议题清单，为后续白皮书选题、标准建议和课题方向提供参考。
Introduction
The Data Governance and Privacy Computing Salon focuses on balancing data circulation and privacy protection. It is open to member organizations, researchers, and data compliance leads.
Highlights
- Discusses compliance boundaries in cross-border data flows.
- Exchanges conditions for privacy computing in finance, healthcare, and manufacturing scenarios.
- Reviews coordination between institutional governance and technical governance.
Background
As data becomes a key production factor, enterprises face higher compliance and security requirements in data sharing, model training, and cross-institution collaboration.
Main Content
The salon combines expert presentations and roundtable discussion on data classification, privacy computing routes, data export assessment, and multi-party governance. It does not provide legal advice, but offers references from technical governance and organizational process perspectives.
Participants
- Data platform, risk control, compliance, and security leaders.
- Researchers in privacy computing and data governance.
- Members and partner organizations interested in data circulation.
Schedule
The event includes two presentations and one closed-door roundtable. The Operations Center will prepare a public summary without sensitive information.
Expected Outcomes
The salon will produce a list of data governance topics for future white papers, standards recommendations, and research project planning.