By Liu Xiaochun | China Daily

The Central Economic Work Conference held in December outlined certain key tasks in eight major aspects for this year. These include strengthening efforts in antitrust and preventing the disorderly expansion of capital.

It was clearly pointed out in the meeting statement that the collection, usage and management of data shall be improved.

With robust growth of the "new infrastructure" sector, particularly the application of 5G and the internet of things, digital technology will find applications in all walks of society and will bring significant change to people's way of living.

While appreciating the positive effect that digital society may bring, it is important to fully acknowledge and evaluate the risks that interconnectivity of data may bring and pay attention to data governance.

As digital technology is highly penetrative and spreads widely, the risk of digital technology can be widely disruptive and can go beyond personal privacy. It thus requires precautionary regulatory measures to manage or pre-empt such risks.

There are key issues and risks in data connectivity, and it is important to strike a proper balance between breaking the information silo and data security.

On the one hand, it is important to clarify which part of the society will guide the connectivity of data, be it the government, technology firms or other institutions. For example, the building of smart cities will require data collection from a great number of sectors and departments. It is crucial to make clear who will be responsible for collecting and managing them.

On the other hand, how data can be categorized and managed is another emerging issue. In governing smart cities, new data of all kinds emerge every second. The idea of smart city construction, building industrial internet and digital China cannot be realized without data from all departments and organizations going online.

Yet, with all these key data openly accessible online, inadequate or improper management of these data may pose a possible threat to public security, the police, or even to social and national security.

Both governance and the internet of things across all industries should take the management of public data into account. At the same time, the arithmetic model, a key technology in artificial intelligence, may amplify potential risks in information spreading with no targeted audiences.

There is also the risk of giant internet and technology companies adopting a winner-takes-all approach in data collection. Conventional monopoly usually means taking monopoly of one particular type of products or at most, a certain industry. The new winner-takes-all approach would mean exclusive owning of all data on one particular platform by a certain enterprise.

Online platforms in fields such as e-commerce, digital payments, and delivery services may even gain access to huge amount of social data in the name of innovation or breaking up information silo. Such data may be related to personal, business or even government information.

Should such platforms or online behemoths land in major trouble, or face some unforeseen risks, massive systemic disruptions could unsettle or destabilize society. And with the growth of 5G, the number of such businesses is expected to grow.

A number of steps will likely be taken to strengthen data governance. Control of data risks should be raised as part of State governance efforts. Any arbitrary collection of personal information and data should be prohibited.

The issue of data categorization needs to be resolved through legislative efforts in this field. A number of suggestions have been made in legislation regarding personal information protection, which is very necessary.

Categorization should be made for data under digital economy.

First, special attention should be given to managing data regarding public security, finance and people's livelihood, and how they can be made accessible on internet platforms and how such data can be used.

Second, the responsibility of data management should be specified, and ownership and usage rights to data clarified.

Third, legal liability in data use and transaction must be made clear.

Fourth, as data management is a new and emerging sector yet closely related to national security, social stability and a steady running of economic activities, a special regulatory department or mechanism should be set up with powers of oversight.

At the same time, a category-specific, more proper oversight on artificial intelligence is also needed, particularly a more targeted regulatory model for algorithms developed by various businesses.

An overhaul of personal data already collected once all the aforementioned systems are in place would be in order.

Mechanism for the oversight and management of super-giant data platforms should be set up. On the one hand, objective views are needed about the monopolies taken by super-giant digital platforms.

These platforms also bear public service functions, differentiating them from industrial or commercial monopolies. Concentration of platforms may also help add on commercial competitiveness and social efficiency.

Take third-party payments as an example. To ensure unimpeded payments, various market participants tend to gather on one payment platform. If communications across different telecom companies cannot be realized, only one telecom platform will eventually survive.

Such logic also applies to third-party transactions, which explains why even though the regulators concerned issued a number of licenses, only a few survived. And there are reasons behind why only those few did manage to survive.

First, the survivors are those that are supported by the banks' unified payment services. Second, the companies specialized in integrated payment services has become a solution for third-party payment platforms banning one another.

Super-giant platforms will likely continue to increase as digital society grows. Concentration of multiple services in a single platform may make business sense for market share-minded companies. But it is debatable if this is the right path to digital transformation of society.

So, proper regulatory measures and oversights are needed in helping such platforms to grow with society in a responsible manner. This is why, oversight mechanisms are needed, as platform enterprises can't achieve this on their own through self-regulation.

Meanwhile, all data collected by platform businesses are related to society's various publics and therefore should not be treated as commercial assets.

The article is a translation of a comment from the Bund Summit by Liu Xiaochun, the deputy dean of the Shanghai Finance Institute.