The next locus of lawsuits?

https://www.bespacific.com/inside-americas-school-internet-censorship-machine/

Inside America’s School Internet Censorship Machine

Wired [read free ]: “…WIRED requested internet censorship records from 17 public school districts around the US, painting a picture of the widespread digital censorship taking place across the country. Our investigation focuses on Albuquerque Public Schools (APS), one of the largest school districts in the US, which provided the most complete look at its web-filtering systems. APS shared 36 gigabytes of district network logs covering January 2022 to August 21 2023, offering an unprecedented look at the kinds of content blocked by US schools on a daily basis. Our analysis of more than 117 million censorship records confirms what students and civil rights advocates have long warned: Web filters are preventing kids from finding critical information about their health, identity, and the subjects they’re studying in class…”

The man has a point.

https://www.schneier.com/blog/archives/2023/12/the-internet-enabled-mass-surveillance-ai-will-enable-mass-spying.html

The Internet Enabled Mass Surveillance. AI Will Enable Mass Spying.

Spying and surveillance are different but related things. If I hired a private detective to spy on you, that detective could hide a bug in your home or car, tap your phone, and listen to what you said. At the end, I would get a report of all the conversations you had and the contents of those conversations. If I hired that same private detective to put you under surveillance, I would get a different report: where you went, whom you talked to, what you purchased, what you did.

Before the internet, putting someone under surveillance was expensive and time-consuming. You had to manually follow someone around, noting where they went, whom they talked to, what they purchased, what they did, and what they read. That world is forever gone. Our phones track our locations. Credit cards track our purchases. Apps track whom we talk to, and e-readers know what we read. Computers collect data about what we’re doing on them, and as both storage and processing have become cheaper, that data is increasingly saved and used. What was manual and individual has become bulk and mass. Surveillance has become the business model of the internet, and there’s no reasonable way for us to opt out of it.

… We could prohibit mass spying. We could pass strong data-privacy rules. But we haven’t done anything to limit mass surveillance. Why would spying be any different?

(Related)

https://www.bespacific.com/data-brokers-trump-tech-spying-privacy-threat/

Tracking people in-and-out of Mar-a-Lago was easy thanks to commercial software

Rolling Stone: “Spying on presidents used to be a tough business. One of the great unsung heroes of American history was a formerly enslaved woman named Mary Bowser, a spy who infiltrated the family of Jefferson Davis as a domestic servant, and eventually landed a full-time job in the Southern White House, the political seat of his Confederacy. Armed with a photographic memory and an all-access pass to the inner workings of the Davis administration, she fed details daily to the Union army, which Ulysses S. Grant called the “most valuable information” he received from the Southern capital during the war. These days, it’s a whole lot easier. While researching our new book, The Secret Life of Data, we gathered some sensitive information from Mar-a-Lago, Donald Trump’s Palm Beach club, which he used as a base for political operations both during and after his presidency. He even referred to on several occasions as his “Southern White House.”

We didn’t have to risk life and limb, posing as the help and smuggling information out through a well-funded spy ring. All we had to do was sign up for an online service, enter the address of Mar-a-Lago, and click a button. Within a few minutes, we had a report profiling thousands of visitors to Trump’s club over the course of an entire year, including details like where they likely live and work, their ages, incomes, ethnicities, education levels, where they were immediately before visiting, and where they spent their time on the property once they got there. This wasn’t some dark web hacker thing. No Bitcoin was exchanged. The service we used was perfectly legal and freely available on the open web, one of dozens of “data brokers” that collect and trade in consumer data. It’s a $300-billion-per-year business — about the same as the gross domestic product of Hong Kong. This particular data broker, called Near, uses smartphone location data to trace the foot traffic of about 1.6 billion people across 70 million locations in 44 countries…”