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The Game of Life: Visualizing China’s Social Credit System

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China's Social Credit System

The Game of Life: Visualizing China’s Social Credit System

In an attempt to imbue trust, China has announced a plan to implement a national ranking system for its citizens and companies. Currently in pilot mode, the new system will be rolled out in 2020, and go through numerous iterations before becoming official.

While the system may be a useful tool for China to manage its growing 1.4 billion population, it has triggered global concerns around the ethics of big data, and whether the system is a breach of fundamental human rights.

Today’s infographic looks at how China’s proposed social credit system could work, and what the implications might be.

The Government is Always Watching

Currently, the pilot system varies from place to place, whereas the new system is envisioned as a unified system. Although the pilot program may be more of an experiment than a precursor, it gives a good indication of what to expect.

In the pilot system, each citizen is assigned 1,000 points and is consistently monitored and rated on how they behave. Points are earned through good deeds, and lost for bad behavior. Users increase points by donating blood or money, praising the government on social media, and helping the poor. Rewards for such behavior can range from getting a promotion at work fast-tracked, to receiving priority status for children’s school admissions.

In contrast, not visiting one’s aging parents regularly, spreading rumors on the internet, and cheating in online games are considered antisocial behaviors. Punishments include public shaming, exclusion from booking flights or train tickets, and restricted access to public services.

Big Data Goes Right to the Source

The perpetual surveillance that comes with the new system is expected to draw on huge amounts of data from a variety of traditional and digital sources.

Police officers have used AI-powered smart glasses and drones to effectively monitor citizens. Footage from these devices showing antisocial behavior can be broadcast to the public to shame the offenders, and deter others from behaving similarly.

For more serious offenders, some cities in China force people to repay debts by switching the person’s ringtone without their permission. The ringtone begins with the sound of a police siren, followed by a message such as:

“The person you are calling has been listed as a discredited person by the local court. Please urge this person to fulfill his or her legal obligations.”

Two of the largest companies in China, Tencent and Alibaba, were enlisted by the People’s Bank of China to play an important role in the credit system, raising the issue of third-party data security. WeChat—China’s largest social media platform, owned by Tencent—tracked behavior and ranked users accordingly, while displaying their location in real-time.

Following data concerns, these tech companies—and six others—were not awarded any licenses by the government. However, social media giants are still involved in orchestrating the public shaming of citizens who misbehave.

The Digital Dang’an

The social credit system may not be an entirely new initiative in China. The dang’an (English: record) is a paper file containing an individual’s school reports, information on physical characteristics, employment records, and photographs.

These dossiers, which were first used in the Maoist years, helped the government in maintaining control of its citizens. This gathering of citizen’s data for China’s social credit system may in fact be seen as a revival of the principle of dang’an in the digital era, with the system providing a powerful tool to monitor citizens whose data is more difficult to capture.

Is the System Working?

In 2018, people with a low score were prohibited from buying plane tickets almost 18 million times, while high-speed train ticket transactions were blocked 5.5 million times. A further 128 people were prohibited from leaving China, due to unpaid taxes.

The system could have major implications for foreign business practices—as preference could be given to companies already ranked in the system. Companies with higher scores will be rewarded with incentives which include lower tax rates and better credit conditions, with their behavior being judged in areas such as:

  • Paid taxes
  • Customs regulation
  • Environmental protection

Despite the complexities of gathering vast amounts of data, the system is certainly making an impact. While there are benefits to having a standardized scoring system, and encouraging positive behavior—will it be worth the social cost of gamifying human life?

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Visualizing AI Patents by Country

See which countries have been granted the most AI patents each year, from 2012 to 2022.

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Visualizing AI Patents by Country

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

This infographic shows the number of AI-related patents granted each year from 2010 to 2022 (latest data available). These figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report.

From this data, we can see that China first overtook the U.S. in 2013. Since then, the country has seen enormous growth in the number of AI patents granted each year.

YearChinaEU and UKU.S.RoWGlobal Total
20103071379845711,999
20115161299805812,206
20129261129506602,648
20131,035919706272,723
20141,278971,0786673,120
20151,7211101,1355393,505
20161,6211281,2987143,761
20172,4281441,4891,0755,136
20184,7411551,6741,5748,144
20199,5303223,2112,72015,783
202013,0714065,4414,45523,373
202121,9076238,2197,51938,268
202235,3151,17312,07713,69962,264

In 2022, China was granted more patents than every other country combined.

While this suggests that the country is very active in researching the field of artificial intelligence, it doesn’t necessarily mean that China is the farthest in terms of capability.

Key Facts About AI Patents

According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. They can also have different meaning, depending on where they are filed.

In the U.S., AI patenting is concentrated amongst large companies including IBM, Microsoft, and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities, and tech firms (e.g. Tencent).

In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields.

Learn More About AI From Visual Capitalist

If you want to see more data visualizations on artificial intelligence, check out this graphic that shows which job departments will be impacted by AI the most.

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