Many multinational car companies to build China data center, automotive data regulation to start

Recently, the State Internet Information Office (SIO) has publicly solicited comments on the “Certain Provisions on Automotive Data Security Management (Draft for Comments)” (hereinafter referred to as the “Provisions”), which is intended to bring these smart network connected vehicle data under regulated management.

Although still in the comment stage, there is already feedback from the market. Tesla, a leading smart car company, has taken the lead by saying it has established a data center in China to localize data storage, in addition to opening its vehicle information query platform to owners. After Tesla, BMW, Daimler and other car companies also said that they will establish data centers in China. Experts believe that the current “regulations” still have a lot of space to be refined, and in the face of the new subject of smart car data, how to balance the scale between data security and technological innovation will become a major difficulty.

Many multinational car companies to build China data center, automotive data regulation to start

Intelligent car data will welcome the first special regulations

Through the car camera can identify the owner’s facial expressions so as to determine whether fatigue driving, through the car equipped with cameras, radar, etc. can assist the driver to automatically start and stop, follow the car, lane change and other operations, after the accident vehicle “black box” in the data can help the identification agency to restore the accident when the car systems working state …… more and more “smart” smart cars let the public enjoy the convenience of technological innovation, but the large amount of data collected to support these innovative features was once “ignored” by the public.

Until this year, a piece of in-car camera footage was exposed by hackers, in which the face and behavior of the car owner was clearly visible, instantly making the controversy of in-car privacy and security very much in the air. Since then, the smart car controversy accident, backstage data has been used as evidence several times, and make some mysterious backstage data more attention.

As a result, smart car data has triggered calls from all walks of life to establish norms. Recently, the Internet Information Office on the relevant “regulations” for public comment, “regulations” on the data generated by the smart network connected cars to define, and clarify the subject of responsibility, the scope of data, collection methods, privacy protection, data exit and other issues, to become the first domestic “car data security” to develop special regulations. “Regulations” to prevent the transmission of important information abroad, to prevent the misuse of personal data and so on to regulate. These two areas of data security is an objective and urgent issue, very meaningful.” Cui Dongshu, secretary general of the National Passenger Association, said.

Balancing data security and technological innovation becomes a difficult task

However, just like the two sides of the same coin, will the tightening of data security regulation limit technological innovation? An intelligent network researcher believes that the control of this degree is currently a difficult point.

He gave an example: “regulations” require the collection of sensitive personal information such as vehicle location, driver or passenger audio and video, and data that can be used to determine driving violations, should be “to directly serve the purpose of the driver or passenger”; and “only when for the convenience of the user, increase the vehicle The data should be collected only for purposes such as user-friendliness, increased security of electronic and information systems, and biometric data such as fingerprints, voice prints, faces, and heart rhythms. These requirements may impose restrictions on some of the business scenarios that exist in practice, such as customized insurance services (UBI) that in some cases may not “directly serve the driver or rider” but rather “the owner”; enterprises collecting data to provide commercial services (e.g., wind insurance); and companies collecting data to provide commercial services (e.g., wind insurance). Companies that collect data and then provide commercialized services (e.g., risk control services, used car appraisal services, etc.) may also be subject to these restrictions.

“In the relationship between technological innovation and data security, we can’t just choke on it.” Yang Dengge, director of the discipline office of Tsinghua University and professor of vehicle and transportation trainees, said bluntly, “Data security is important, but it is also important to understand that any new technology generated will bring new problems. If you prohibit or restrict the use of big data for smart cars simply from the perspective of avoiding problems because you are too worried, you block the road to technological innovation.”

However, Cui Dongshu believes that data security regulation and technological innovation do not conflict in nature. “The development of intelligent networked vehicles in the early stage of the ‘release of water to raise fish’ state, the state hopes that enterprises have a certain space for development. Now gradually regulate, but will not restrict the space for enterprise innovation, enterprises can carry out technology research and development under the policy clarity, forming a good trend of information security, technological progress synergistic development.”

Future data and scene classification to be more refined

As an important brand of smart cars, the arrival of data controversy had made Tesla frequently on the hot search. Now that the new regulations are coming, its every move is also attracting attention. Recently, Tesla said it has started to build a data center in China to keep data in the country. At the same time, it also plans to launch a vehicle information query platform within the year to open up vehicle data to owners.

Many multinational car companies to build China data center, automotive data regulation to start

In this regard, Li Xiaodong, founder of Fuxi Think Tank and director of the Internet Governance Research Center of Tsinghua University, believes that Tesla’s establishment of a data center in China is both a necessary move to comply with the requirements of Chinese laws and regulations and a positive exploration to protect personal information and important data. However, he also said that this is just the beginning, and he hopes that Tesla will continue to share its experience and difficulties in the process of practice to the society, and find ways to implement and solutions for the effective and safe use of data.

There are still many areas to be improved and refined. The aforementioned intelligent network researcher cited the example of the current “regulations” did not clarify whether it also applies to vehicles in production and already listed vehicles, suggesting that companies can also assess the technical feasibility of rectifying the stock of cars in accordance with the “regulations” as early as possible and provide timely feedback to the regulatory authorities.

“At present, the Regulations are still seeking comments, and the future still requires continuous refinement.” The person said, for example, operators need to collect sensitive data from vehicles in order to meet regulatory requirements such as autonomous driving road testing and product access. And the extraction and fixing of this data in the event of a traffic accident is crucial to the determination of accident liability. Therefore, subsequent amendments to the Regulations may need to reserve space for different application scenarios.

“It can only be said that the subject of smart car data is so new that the regulation of it is currently in the mapping stage worldwide, and our country is considered to be at the forefront of concern about it.” This person lamented, “At present, the first thing we need is to determine a red line. Then within this red line, we can keep on figuring out the refinement, classifying both data and scenarios so as to balance the scale of data security and technological innovation in a more scientific way.”

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