Segments in this Video

Personal Data (05:22)


Everyone reveals a large amount of personal data online by using services like Amazon and Google. Sociologist Liliana Arroyo conducts a study to see what information Google knows about six participants of different ages.

Big Data and Algorithms (06:37)

Algorithms process data, providing the foundation for many decisions. Algorithms can be biased and often reflect the biases of their creators. In Spain, a supercomputer and humans track the spread of COVID-19.

Data and Medicine (02:56)

Data collection could lead to more personalized medical care and a more efficient healthcare system. A program in Spain uses an algorithm to detect types of cancers in thorax X-rays. Personal data can be used in ways we are unaware of.

Data Protection (05:23)

A 2018 law in the European Union makes it so that companies must tell people how they are using their data. People often give their consent without fully realizing how their data could be used. Companies like Facebook often sell sensitive information to advertisers.

Data and Personality (02:08)

Researcher Vesselin Popov explains how activities, such as liking a post, can show a user's personality. Digital footprints are accurate predictors of a person's behavior.

Internet of Things (04:58)

IoT refers to intelligent devices capable of directly transmitting data; more than 200,000 objects are a part of it. People market the technologies as making life easier, but they capture huge amounts of data.

Data Sellers (03:56)

Data sellers collect and sell huge amounts of data. David Lahoz works for a digital advertising firm and explains how they use data. They remove personal information, like names.

Data Models (03:54)

The idea that cellphones and other devices are listening to users is a myth. China's data model has the data belonging to the state, while the United States has it held by businesses. Digital Policy Advisor Jordi Puignerio suggests a third model of it belonging to citizens.

Facial Identification (03:15)

Facial identification is becoming more common. Some organizations use it in security, but it can be an invasion of privacy.

Unconscious Disclosure (06:41)

Many websites have third party cookies. This means that the user is sharing their data with an unknown party.

Credits: "Everything We Know About You" (00:22)

Credits: "Everything We Know About You"

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Everything We Know About You

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Every minute, over 200 million emails are sent, 7,000 purchases take place on Amazon, and 4 million google searches are made, all leaving digital fingerprints. Add to that the trail left by cell phones, credit cards, security cameras, and the growing ‘internet of things’ and an incredible amount of detail about our personal life can now be inferred by computers. But with more and more decisions taken by algorithms, is there a risk we might fall into a “technocracy”? Used carefully, there’s little doubt that big data can save lives. They help establish conduct patterns and predictions and this, coupled with personal data, can create more personalized medicine. At the hospital in Sabadell, a computer program scans x-rays to identify those most likely to show lung cancer. These are then checked by a doctor. But, as the experience with COVID tracking apps has shown, AI’s use is still limited and there’s a danger of over-reliance. Companies like Amazon, Facebook, and Google make their money by selling user profiles to advertisers. But this can involve real risks for the people classified, especially in countries where certain sexual, religious, or political leanings carry stiff penalties. Over 500,000 facebook members in Saudi Arabia are tagged as having ‘homosexual interest’ and advertisers can specifically target them. On a more mundane level, every second people are wrongly profiled and can be denied mortgages or opportunities on the basis of these false profiles. So what can be done to minimize the risk posed by big data while maximizing the benefits? This report investigates.

Length: 46 minutes

Item#: BVL282233

ISBN: 979-8-88678-411-4

Copyright date: ©2021

Closed Captioned

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