数据合规的模式变革——从权利人“知情同意”到使用者“预测算法”

TheTra nsformation of Data Compliance Model:From“Informed Consent”of the Right Holder to“Prediction Algorithm”of the User

在Web3.0时代,“数据主宰一切”的风险决定了数据合规不再是单纯的激励措施,而成为企业的法定义务。协同治理与数据合规义务法定化,奠定了Web3.0时代数据合规的理论基础。在Web3.0时代,世界的数据化是无法阻挡的趋势,治理的重点不是要阻止数据的采集或世界的数据化趋势,而是防止滥用数据进行“预测算法”。以权利人“知情同意”为支柱的传统数据合规治理模式在Web3.0的大数据时代是失灵的,应当以使用者“预测算法”为支柱,规制数据利用、再利用,预防滥用大数据进行“预测算法”。作为数据使用者的企业必须建立以利用数据“预测算法”为中心的合规模式,重点是建立数据保护官制度、构筑以“预测算法”为中心的风险评估、监视、应对体系,塑造数据合规文化。

In the era of Web3.0,the risk of“data dominate everything”determines that data compliance is no longer a simple incentive measure,but a legal obligation of enterprises.Collaborative governance and the legalization of data compliance obligations have laid the theoretical foundation for data compliance in the Web3.0 era.In the era of Web3.0,the datafication of the world is an unstoppable trend.The key point of governance is not to prevent the collection of data or the datafication of the world,but to prevent the abuse of data for“prediction algorithms”.The traditional data compliance system based on the“informed consent”of the right holders fails in the big data era.The“prediction algorithm”of users should be taken as the pillar to regulate the use and reuse of data and prevent the abuse of big data for“prediction algorithm”.As data users,enterprises must establish a compliance management system centered on data utilization,focusing on establishing a data protection officer system,constructing risk assessment,monitoring and response system of data utilization,and shaping a data compliance culture.