Entries Tagged "privacy"

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Facial Recognition Systems in the US

A helpful summary of which US retail stores are using facial recognition, thinking about using it, or currently not planning on using it. (This, of course, can all change without notice.)

Three years ago, I wrote that campaigns to ban facial recognition are too narrow. The problem here is identification, correlation, and then discrimination. There’s no difference whether the identification technology is facial recognition, the MAC address of our phones, gait recognition, license plate recognition, or anything else. Facial recognition is just the easiest technology right now.

Posted on January 3, 2024 at 7:07 AMView Comments

AI Is Scarily Good at Guessing the Location of Random Photos

Wow:

To test PIGEON’s performance, I gave it five personal photos from a trip I took across America years ago, none of which have been published online. Some photos were snapped in cities, but a few were taken in places nowhere near roads or other easily recognizable landmarks.

That didn’t seem to matter much.

It guessed a campsite in Yellowstone to within around 35 miles of the actual location. The program placed another photo, taken on a street in San Francisco, to within a few city blocks.

Not every photo was an easy match: The program mistakenly linked one photo taken on the front range of Wyoming to a spot along the front range of Colorado, more than a hundred miles away. And it guessed that a picture of the Snake River Canyon in Idaho was of the Kawarau Gorge in New Zealand (in fairness, the two landscapes look remarkably similar).

This kind of thing will likely get better. And even if it is not perfect, it has some pretty profound privacy implications (but so did geolocation in the EXIF data that accompanies digital photos).

Posted on December 29, 2023 at 7:03 AMView Comments

Police Get Medical Records without a Warrant

More unconstrained surveillance:

Lawmakers noted the pharmacies’ policies for releasing medical records in a letter dated Tuesday to the Department of Health and Human Services (HHS) Secretary Xavier Becerra. The letter—signed by Sen. Ron Wyden (D-Ore.), Rep. Pramila Jayapal (D-Wash.), and Rep. Sara Jacobs (D-Calif.)—said their investigation pulled information from briefings with eight big prescription drug suppliers.

They include the seven largest pharmacy chains in the country: CVS Health, Walgreens Boots Alliance, Cigna, Optum Rx, Walmart Stores, Inc., The Kroger Company, and Rite Aid Corporation. The lawmakers also spoke with Amazon Pharmacy.

All eight of the pharmacies said they do not require law enforcement to have a warrant prior to sharing private and sensitive medical records, which can include the prescription drugs a person used or uses and their medical conditions. Instead, all the pharmacies hand over such information with nothing more than a subpoena, which can be issued by government agencies and does not require review or approval by a judge.

Three pharmacies—­CVS Health, The Kroger Company, and Rite Aid Corporation—­told lawmakers they didn’t even require their pharmacy staff to consult legal professionals before responding to law enforcement requests at pharmacy counters. According to the lawmakers, CVS, Kroger, and Rite Aid said that “their pharmacy staff face extreme pressure to immediately respond to law enforcement demands and, as such, the companies instruct their staff to process those requests in store.”

The rest of the pharmacies—­Amazon, Cigna, Optum Rx, Walmart, and Walgreens Boots Alliance­—at least require that law enforcement requests be reviewed by legal professionals before pharmacists respond. But, only Amazon said it had a policy of notifying customers of law enforcement demands for pharmacy records unless there were legal prohibitions to doing so, such as a gag order.

Posted on December 18, 2023 at 10:37 AMView Comments

Surveillance by the US Postal Service

This is not about mass surveillance of mail, this is about the sorts of targeted surveillance the US Postal Inspection Service uses to catch mail thieves:

To track down an alleged mail thief, a US postal inspector used license plate reader technology, GPS data collected by a rental car company, and, most damning of all, hid a camera inside one of the targeted blue post boxes which captured the suspect’s full face as they allegedly helped themselves to swathes of peoples’ mail.

Posted on December 13, 2023 at 7:04 AMView Comments

AI and 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.

Spying is another matter. It has long been possible to tap someone’s phone or put a bug in their home and/or car, but those things still require someone to listen to and make sense of the conversations. Yes, spyware companies like NSO Group help the government hack into people’s phones, but someone still has to sort through all the conversations. And governments like China could censor social media posts based on particular words or phrases, but that was coarse and easy to bypass. Spying is limited by the need for human labor.

AI is about to change that. Summarization is something a modern generative AI system does well. Give it an hourlong meeting, and it will return a one-page summary of what was said. Ask it to search through millions of conversations and organize them by topic, and it’ll do that. Want to know who is talking about what? It’ll tell you.

The technologies aren’t perfect; some of them are pretty primitive. They miss things that are important. They get other things wrong. But so do humans. And, unlike humans, AI tools can be replicated by the millions and are improving at astonishing rates. They’ll get better next year, and even better the year after that. We are about to enter the era of mass spying.

Mass surveillance fundamentally changed the nature of surveillance. Because all the data is saved, mass surveillance allows people to conduct surveillance backward in time, and without even knowing whom specifically you want to target. Tell me where this person was last year. List all the red sedans that drove down this road in the past month. List all of the people who purchased all the ingredients for a pressure cooker bomb in the past year. Find me all the pairs of phones that were moving toward each other, turned themselves off, then turned themselves on again an hour later while moving away from each other (a sign of a secret meeting).

Similarly, mass spying will change the nature of spying. All the data will be saved. It will all be searchable, and understandable, in bulk. Tell me who has talked about a particular topic in the past month, and how discussions about that topic have evolved. Person A did something; check if someone told them to do it. Find everyone who is plotting a crime, or spreading a rumor, or planning to attend a political protest.

There’s so much more. To uncover an organizational structure, look for someone who gives similar instructions to a group of people, then all the people they have relayed those instructions to. To find people’s confidants, look at whom they tell secrets to. You can track friendships and alliances as they form and break, in minute detail. In short, you can know everything about what everybody is talking about.

This spying is not limited to conversations on our phones or computers. Just as cameras everywhere fueled mass surveillance, microphones everywhere will fuel mass spying. Siri and Alexa and “Hey Google” are already always listening; the conversations just aren’t being saved yet.

Knowing that they are under constant surveillance changes how people behave. They conform. They self-censor, with the chilling effects that brings. Surveillance facilitates social control, and spying will only make this worse. Governments around the world already use mass surveillance; they will engage in mass spying as well.

Corporations will spy on people. Mass surveillance ushered in the era of personalized advertisements; mass spying will supercharge that industry. Information about what people are talking about, their moods, their secrets—it’s all catnip for marketers looking for an edge. The tech monopolies that are currently keeping us all under constant surveillance won’t be able to resist collecting and using all of that data.

In the early days of Gmail, Google talked about using people’s Gmail content to serve them personalized ads. The company stopped doing it, almost certainly because the keyword data it collected was so poor—and therefore not useful for marketing purposes. That will soon change. Maybe Google won’t be the first to spy on its users’ conversations, but once others start, they won’t be able to resist. Their true customers—their advertisers—will demand it.

We could limit this capability. 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?

This essay originally appeared in Slate.

Posted on December 5, 2023 at 7:10 AMView Comments

Secret White House Warrantless Surveillance Program

There seems to be no end to warrantless surveillance:

According to the letter, a surveillance program now known as Data Analytical Services (DAS) has for more than a decade allowed federal, state, and local law enforcement agencies to mine the details of Americans’ calls, analyzing the phone records of countless people who are not suspected of any crime, including victims. Using a technique known as chain analysis, the program targets not only those in direct phone contact with a criminal suspect but anyone with whom those individuals have been in contact as well.

The DAS program, formerly known as Hemisphere, is run in coordination with the telecom giant AT&T, which captures and conducts analysis of US call records for law enforcement agencies, from local police and sheriffs’ departments to US customs offices and postal inspectors across the country, according to a White House memo reviewed by WIRED. Records show that the White House has, for the past decade, provided more than $6 million to the program, which allows the targeting of the records of any calls that use AT&T’s infrastructure—­a maze of routers and switches that crisscross the United States.

Posted on November 27, 2023 at 6:59 AMView Comments

Sidebar photo of Bruce Schneier by Joe MacInnis.