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Content type: News & Analysis
Why is a privacy organisation working with the humanitarian sector, and why does it matter? We may seem like strange bedfellows, but today's ever-growing digital world means that, more and more, people who receive humanitarian assistance are being exposed to unexpected threats.
According to the 2018 Global Humanitarian Overview, there are more than 134 million people across the world in need humanitarian assistance. Of these, about 90.1 million will receive aid of some form. It is…
Content type: Long Read
It’s 15:10 pm on April 18, 2018. I’m in the Privacy International office, reading a news story on the use of facial recognition in Thailand. On April 20, at 21:10, I clicked on a CNN Money Exclusive on my phone. At 11:45 on May 11, 2018, I read a story on USA Today about Facebook knowing when teen users are feeling insecure.
How do I know all of this? Because I asked an advertising company called Quantcast for all of the data they have about me.
Most people will have never heard of…
Content type: Examples
In 2013, Edward Snowden, working under contract to the US National Security Agency for the consultancy Booz Allen Hamilton, copied and leaked thousands of classified documents that revealed the inner workings of dozens of previously unknown surveillance programs. One of these was PRISM, launched in 2007, which let NSA use direct access to the systems of numerous giant US technology companies to carry out targeted surveillance of the companies' non-US users and Americans with foreign contacts by…
Content type: News & Analysis
This piece originally appeared here.
We are much more than our physical selves. We are also digital. Every moment we generate more data. Although sometimes this data is under our control, increasingly it is not. This uncontrolled data—this metadata—is often generated as a result of our interactions, movements, sentiments, and even our inaction. Despite being beyond our control, our metadata is still accessible to many. Hardly a day goes by without a news story or global event involving data: a…
Content type: Examples
Because banks often decline to give loans to those whose "thin" credit histories make it hard to assess the associated risk, in 2015 some financial technology startups began looking at the possibility of instead performing such assessments by using metadata collected by mobile phones or logged from internet activity. The algorithm under development by Brown University economist Daniel Björkegren for the credit-scoring company Enterpreneurial Finance Lab was built by examining the phone records…
Content type: Examples
A new examination of documents detailing the US National Security Agency's SKYNET programme shows that SKYNET carries out mass surveillance of Pakistan's mobile phone network and then uses a machine learning algorithm to score each of its 55 million users to rate their likelihood of being a terrorist. The documents were released as part of the Edward Snowden cache. The data scientist Patrick Ball, director of research at the Human Rights Data Analysis Group, which produces scientifically…