如何在数据安全与隐私保护层面促进“人工智能+教育”持续发展？
注重数据运作与规范管理相配合，消解“人工智能+教育”的安全风险。在“人工智能+教育”的发展过程中，确保数据的安全、合规以及个人隐私的保护，需要从立法、管理、技术等多个层面出发，构建完善的数据保护与隐私管理机制，以确保技术服务于教育的同时，不会损害到广大师生的合法权益。
首先，加强数据安全立法。应出台严格的数据安全相关法律法规，清晰界定教育机构在数据收集、存储和使用等各环节的责任与义务。 数字化转型网www.szhzxw.cn
其次，建立数据全生命周期管理体系。
再次，完善隐私保护机制。隐私政策的透明化是关键，应通过制定并公开清晰的隐私政策，让用户充分了解数据的收集、使用和共享方式，并知晓自身所享有的权利。
同时，对敏感数据进行匿名化或脱敏处理，以降低个人隐私泄露的风险。采用先进的加密和安全技术，为数据提供坚实的技术保障。
最后，加强规范管理与人员培训。定期对相关人员进行数据安全与隐私保护的培训，通过考核确保他们掌握必要的知识和技能。 数字化转型网www.szhzxw.cn
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本文由数字化转型网（www.szhzxw.cn）转载而成，来源于网络；编辑/翻译：数字化转型网宁檬树。
翻译：
How to promote the sustainable development of “AI + Education” at the level of data security and privacy protection?
Pay attention to the coordination of data operation and standardized management, and eliminate the security risks of “artificial intelligence + education”. In the development process of “artificial intelligence + education”, to ensure data security, compliance and personal privacy protection, it is necessary to build a sound data protection and privacy management mechanism from multiple levels such as legislation, management and technology, so as to ensure that technology serves education without harming the legitimate rights and interests of teachers and students.
First, strengthen data security legislation. Strict data security laws and regulations should be introduced to clearly define the responsibilities and obligations of educational institutions in data collection, storage and use. 数字化转型网www.szhzxw.cn
Secondly, the data life cycle management system should be established.
Third, improve the privacy protection mechanism. Transparency in privacy policy is key, through the development and publication of a clear privacy policy, so that users fully understand how data is collected, used and shared, and know their rights.
At the same time, sensitive data is anonymized or desensitized to reduce the risk of personal privacy disclosure. Advanced encryption and security technologies are used to provide solid technical support for data. 数字化转型网www.szhzxw.cn
Finally, strengthen standardized management and personnel training. Conduct regular training on data security and privacy protection for relevant personnel, and ensure that they have the necessary knowledge and skills through assessment.
