Inside the Black Box of Predictive Travel Surveillance

Q: How long will it take to read this news story?

The story "Inside the Black Box of Predictive Travel Surveillance" has 4334 words across 149 sentences, which will take approximately 19 - 37 minutes for the average person to read.

Q: Which news outlet covered this story?

The story "Inside the Black Box of Predictive Travel Surveillance" was covered 2 days ago by Wired, a news publisher based in United States.

Q: How trustworthy is 'Wired' news outlet?

Wired is a fully independent (privately-owned) news outlet established in 1993 that covers mostly technology and economy news. The outlet is headquartered in United States and publishes an average of 10 news stories per day. It's most recent story was published 9 hours ago.

Q: What do people currently think of this news story?

The sentiment for this story is currently Negative, indicating that people regard this as "bad news".

Q: How do I report this news for inaccuracy?

You can report an inaccurate news publication to us via our contact page. Please also include the news #ID number and the URL to this story.<ul><li>News ID: #25103784</li><li>URL: https://beamstart.com/news/inside-the-black-box-of-17367652726712</li></ul>

Wired 2d ago

Inside the Black Box of Predictive Travel Surveillance - Wired

Quick Summary:

Behind the scenes, companies and governments are feeding a trove of data about international travelers into opaque AI tools that aim to predict who’s safe—and who’s a threat.

While PNR records might seem innocuous, they contain highly sensitive personal information, including the traveler’s address, cell phone number, date of flight booking, where the ticket was purchased, credit card and other payment information, billing address, baggage information, frequent flyer information, general remarks related to the passenger, date of intended travel, complete travel itinerary, names of accompanying travelers, travel agency information, historical changes to the ticket, and more.

WCC’s Hermes software draws on PNR and Advanced Passenger Information (API)—the data of who has boarded the plane including name, nationality, passport number and immigration status—to use “predictive analytics to foresee previously unknown threats.” Others soon followed.