Shulou(Shulou.com)11/24 Report--

Large models and other new technologies continue to emerge, which brings risks and challenges to privacy protection, and how should enterprises do a good job of privacy protection? On September 8, the heads of privacy protection and compliance of Baidu, Douyin Group, Glory, Zhongan online and Ant Group gathered on the Bund 2023 to focus on these issues of public and industry concern. an in-depth discussion was held in the Forum on the Future trend of data Security and Privacy Protection and the practice of Industry Convergence.

In the view of many guests, the continuous emergence of new technologies has brought risks and challenges to privacy protection, but technological innovation has also brought new help to privacy protection work, and new technologies such as large models will also play an important role in privacy protection work in the future.

Xu Quanquan, head of Baidu data Compliance Law, also said that the continuous landing of new technologies and applications has brought a lot of challenges to the privacy protection of enterprises, and all enterprises should "share the same breath and share a common destiny."

"in the future, new technologies such as big models will play an important role in privacy protection."

According to Tian Shen, head of data and privacy law at Douyin Group, the continuous emergence of new technologies has brought risks and challenges to privacy protection in two dimensions: on the one hand, the application of new technologies has brought negative impact or harm to social and personal rights and interests. On the other hand, it can reasonably deal with and reduce the impact of these risks.

"at present, big data and artificial intelligence are developing rapidly. after a large number of ordinary data aggregation, a new level of privacy issues may be excavated, which is the most difficult problem to deal with at present. so, how do we deal with and guard against this risk? it depends on reasonable organization within the enterprise to solve this problem." Tian Shen points out the privacy protection in the current artificial intelligence era as an example.

Nie Zhengjun, chief privacy officer of Ant Group, holds a similar view. "compared with ordinary information processing activities, under the large model scenario, the processing frequency, scale and application of personal information will be stronger, which does bring new challenges to enterprises."

Wu Di, head of privacy compliance at Honor Terminal, believes that the challenge of privacy compliance is not only in data governance, privacy security is constantly being mined, but also in the expected management of users. " Many people think that the emerging high-tech industry is an industry that is not friendly to privacy and consumer privacy. To let more users understand the working mechanism and efforts of our enterprise is not only a challenge for enterprise privacy protection workers in the future, but also the direction of our enterprise's efforts in privacy protection work in the future. "

However, technological innovation has also brought new help and imagination to the work of privacy protection.

"in order to do a good job in the protection of personal information, enterprises need to establish and have at least two capabilities: the classification and classification of data and the identification ability of the subject, and the blood traceability of data transfer in the enterprise system." Nie Zhengjun said that the emergence of large model technology has brought new opportunities for enterprises to enhance these basic capabilities and help enterprises in the capacity-building of personal information protection.

Xu Quanquan holds a similar view. In her view, with the expansion of the application of new technology, the application of advanced technology will play a more and more important role in the process of privacy protection. " Entering the digital age, many enterprises, especially artificial intelligence enterprises, will involve the problems of data processing and data compliance in many aspects of work. To really achieve data compliance, in addition to corporate governance, management team governance, but also inseparable from systematic and automated tools. In the future, the proportion of large model technology, privacy computing and trusted AI technology applied to data privacy protection will become larger and larger. "

"the next step in privacy protection may be to take the road of collaborative governance."

At present, new technologies, including large models, emerge in endlessly. Under this background, how should enterprises carry out personal information protection?

In this regard, Nie Zhengjun said that in the face of the risks and challenges brought by the large model, enterprises can do a good job in privacy protection from two aspects. First, anonymization tools can be used in the model training phase to prevent the future model itself from the risk of privacy disclosure or abuse of personal information. Second, when the commercial application of the large model is on the ground, it is necessary to isolate the data generated by the other side of the service from the data used in the proprietary business.

Xu Quanquan suggests that the next step in privacy protection may be to take the road of collaborative governance. The continuous landing of new technologies and new applications has brought a lot of challenges to the privacy protection of enterprises, which requires all enterprises to "share the same fate". " In the digital age, facing the challenges of data compliance governance and privacy protection, every enterprise must not and cannot fight alone. Every enterprise has an unshirkable responsibility for privacy protection and data compliance, and should also work with upstream and downstream partners to participate in the work of privacy protection and data compliance. " Xu Quanquan said.

Zhang Yongbo, deputy general manager and compliance officer of Zhongan online property Insurance Co., Ltd., said that for enterprises, the core idea of personal information protection is still to follow the principle of fully legal compliance to protect consumers. At the same time, carefully consider the access to data, do a good job of protection. In addition, it is necessary to do a good job in enterprise internal control and awareness promotion, and every staff member involved in every work link that may have access to consumer personal information should be trained to enhance their awareness of personal information protection.

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