Technology
Mapped: The State of Facial Recognition Around the World
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Mapping The State of Facial Recognition Around the World
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From public CCTV cameras to biometric identification systems in airports, facial recognition technology is now common in a growing number of places around the world.
In its most benign form, facial recognition technology is a convenient way to unlock your smartphone. At the state level though, facial recognition is a key component of mass surveillance, and it already touches half the global population on a regular basis.
Today’s visualizations from SurfShark classify 194 countries and regions based on the extent of surveillance.
Facial Recognition Status | Total Countries |
---|---|
In Use | 98 |
Approved, but not implemented | 12 |
Considering technology | 13 |
No evidence of use | 68 |
Banned | 3 |
Click here to explore the full research methodology.
Let’s dive into the ways facial recognition technology is used across every region.
North America, Central America, and Caribbean
In the U.S., a 2016 study showed that already half of American adults were captured in some kind of facial recognition network. More recently, the Department of Homeland Security unveiled its “Biometric Exit” plan, which aims to use facial recognition technology on nearly all air travel passengers by 2023, to identify compliance with visa status.
Perhaps surprisingly, 59% of Americans are actually in favor of implementing facial recognition technology, considering it acceptable for use in law enforcement according to a Pew Research survey. Yet, some cities such as San Francisco have pushed to ban surveillance, citing a stand against its potential abuse by the government.
Facial recognition technology can potentially come in handy after a natural disaster. After Hurricane Dorian hit in late summer of 2019, the Bahamas launched a blockchain-based missing persons database “FindMeBahamas” to identify thousands of displaced people.
South America
The majority of facial recognition technology in South America is aimed at cracking down on crime. In fact, it worked in Brazil to capture Interpol’s second-most wanted criminal.
Home to over 209 million, Brazil soon plans to create a biometric database of its citizens. However, some are nervous that this could also serve as a means to prevent dissent against the current political order.
Europe
Belgium and Luxembourg are two of only three governments in the world to officially oppose the use of facial recognition technology.
Further, 80% of Europeans are not keen on sharing facial data with authorities. Despite such negative sentiment, it’s still in use across 26 European countries to date.
The EU has been a haven for unlawful biometric experimentation and surveillance.
—European Digital Rights (EDRi)
In Russia, authorities have relied on facial recognition technology to check for breaches of quarantine rules by potential COVID-19 carriers. In Moscow alone, there are reportedly over 100,000 facial recognition enabled cameras in operation.
Middle East and Central Asia
Facial recognition technology is widespread in this region, notably for military purposes.
In Turkey, 30 domestically-developed kamikaze drones will use AI and facial recognition for border security. Similarly, Israel has a close eye on Palestinian citizens across 27 West Bank checkpoints.
In other parts of the region, police in the UAE have purchased discreet smart glasses that can be used to scan crowds, where positive matches show up on an embedded lens display. Over in Kazakhstan, facial recognition technology could replace public transportation passes entirely.
East Asia and Oceania
In the COVID-19 battle, contact tracing through biometric identification became a common tool to slow the infection rates in countries such as China, South Korea, Taiwan, and Singapore. In some instances, this included the use of facial recognition technology to monitor temperatures as well as spot those without a mask.
That said, questions remain about whether the pandemic panopticon will stop there.
China is often cited as a notorious use case of mass surveillance, and the country has the highest ratio of CCTV cameras to citizens in the world—one for every 12 people. By 2023, China will be the single biggest player in the global facial recognition market. And it’s not just implementing the technology at home–it’s exporting too.
Africa
While the African continent currently has the lowest concentration of facial recognition technology in use, this deficit may not last for long.
Several African countries, such as Kenya and Uganda, have received telecommunications and surveillance financing and infrastructure from Chinese companies—Huawei in particular. While the company claims this has enabled regional crime rates to plummet, some activists are wary of the partnership.
Whether you approach facial recognition technology from public and national security lens or from an individual liberty perspective, it’s clear that this kind of surveillance is here to stay.
Technology
Charted: The Jobs Most Impacted by AI
We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.
Charted: The Jobs Most Impacted by AI
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.
Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.
In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.
Data and Methodology
To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.
With this analysis, researchers were then able to estimate how AI would impact different occupational groups.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.
Where AI will make the biggest impact
Jobs in infogramtion technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.
Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.
Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.
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