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Here’s What the Big Tech Companies Know About You

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The novelty of the internet platform boom has mostly worn off.

Now that companies like Facebook, Amazon, and Alphabet are among the world’s most valued companies, people are starting to hold them more accountable for the impact of their actions on the real world.

From the Cambridge Analytica scandal to the transparency of Apple’s supply chain, it’s clear that big tech companies are under higher scrutiny. Unsurprisingly, much of this concern stems around one key currency that tech companies leverage for their own profitability: personal data.

What Big Tech Knows

Today’s infographic comes to us from Security Baron, and it compares and contrasts the data that big tech companies admit to collecting in their privacy policies.

Here

While the list of data collected by big tech is extensive in both length and breadth, it does take two to tango.

For many of these categories, users have to willingly supply their data in order for it to be collected. For example, you don’t have to fill out your relationship status on Facebook, but millions of users choose to do so.

Did I Opt Into This?

The majority of the data categories on the list make sense – it’s a no-brainer that Amazon has your credit card information, or that Google knows what websites you visit. Even the least tech-savvy person would likely understand this.

However, there are definitely some categories of data that get collected and stored that may sound unnerving to some people:

  • Facebook knows your political views, religious views, and even your ethnicity
  • Xbox users will have their skeletal tracking data collected through the Kinect device
  • Facebook also knows your income level, which it finds out through partnerships with personal data brokers
  • Platforms collect your documents, email, and message data – though some of this is just metadata
  • Facebook and Microsoft store facial recognition data, based on the pictures you upload

Remember, this is just what companies admit to collecting in their privacy policies – what else do you think they know?

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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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