This is how we lost control of our faces

In 1964, mathematician and computer scientist Woodrow Bledsoe first attempted the task of matching suspects’ faces to mugshots. He measured out the distances between different facial features in printed photographs and fed them into a computer program. His rudimentary successes would set off decades of research into teaching machines to recognize human faces.

Now a new study shows just how much this enterprise has eroded our privacy. It hasn’t just fueled an increasingly powerful tool of surveillance. The latest generation of deep-learning-based facial recognition has completely disrupted our norms of consent.

Deborah Raji, a fellow at nonprofit Mozilla, and Genevieve Fried, who advises members of the US Congress on algorithmic accountability, examined over 130 facial-recognition data sets compiled over 43 years. They found that researchers, driven by the exploding data requirements of deep learning, gradually abandoned asking for people’s consent. This has led more and more of people’s personal photos to be incorporated into systems of surveillance without their knowledge.

It has also led to far messier data sets: they may unintentionally include photos of minors, use racist and sexist labels, or have inconsistent quality and lighting. The trend could help explain the growing number of cases in which facial-recognition systems have failed with troubling consequences, such as the false arrests of two Black men in the Detroit area last year.

People were extremely cautious about collecting, documenting, and verifying face data in the early days, says Raji. “Now we don’t care anymore. All of that has been abandoned,” she says. “You just can’t keep track of a million faces. After a certain point, you can’t even pretend that you have control.”

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Bill Would Force Social Media Users To Secretly Report Suspicious People To Law Enforcement

Senator Joe Manchin wants to bring DHS’s spy on your neighbors “If You See, Something Say Something”  program to social media, blogs, websites, and much more. Manchin’s bill, the “See Something, Say Something Online Act” would essentially turn social media users into federal spies by forcing them to report suspicious people to law enforcement.

Just how bad is this bill?

This bill would essentially force anyone on social media to report suspicious “transmissions” to law enforcement.

Known Suspicious Transmission.—The term ‘‘known suspicious transmission’’ is any suspicious transmission that an interactive computer  service should have reasonably known to have occurred or have been notified of by a director, officer, employ, agent, interactive computer service user, or State or Federal law enforcement agency.

Major Crime —The term ‘‘major crime’’ means a Federal criminal offense that is a crime of violence (as defined 13 in section 16 of title 18, United States Code); relating to domestic or international terrorism (as those terms are defined in section 16 2331 of title 18, United States Code)

What exactly is a known suspicious transmission or major crime?

Suspicious Transmission is defined as any post, private message, comment, tag, transaction, or any other user-generated content or transmission that government officials later determine commits, facilitates, incites, promotes, or otherwise assists the commission of a major crime. Major crimes are defined as anything involving violence, domestic, or international terrorism, or a serious drug offense.

How could social media users, bloggers, web forum moderators, web conferencing users etc., know that a comment left or uttered by someone would later lead to them committing a major crime?

The See Something, Say Something Online Act would force social media users into red flagging every person’s comments just in case someone commits a major crime in the future.

This bill would effectively destroy the First Amendment as we know it, dispelling any vestiges of America still being a free country.

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Arizona High Court Misses Opportunity to Uphold Internet Users’ Online Privacy

It’s an uncontroversial position that EFF has long fought for: Internet users expect their private online activities to stay that way. That’s why law enforcement should have to get a search warrant before getting records of people’s Internet activities. 

But in a disappointing decision earlier this month, the Arizona Supreme Court rejected a warrant requirement for services to disclose Internet users’ activities and other information to law enforcement, a setback for people’s privacy online.

In a 4-3 opinion, the Arizona high court ruled in State v. Mixton that people do not have a reasonable expectation of privacy in information held by online services that record their online activities, such as IP address logs. According to the Court, that information is not protected by either the federal Constitution’s Fourth Amendment or the state’s constitution, because people disclose that information to third-party online services whenever they use them, a legal principle known as the third-party doctrine.

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Your Credit Score Should Be Based on Your Web History, IMF Says

With more services than ever collecting your data, it’s easy to start asking why anyone should care about most of it. This is why. Because people start having ideas like this.

In a new blog post for the International Monetary Fund, four researchers presented their findings from a working paper that examines the current relationship between finance and tech as well as its potential future. Gazing into their crystal ball, the researchers see the possibility of using the data from your browsing, search, and purchase history to create a more accurate mechanism for determining the credit rating of an individual or business. They believe that this approach could result in greater lending to borrowers who would potentially be denied by traditional financial institutions.

At its heart, the paper is trying to wrestle with the dawning notion that the institutional banking system is facing a serious threat from tech companies like Google, Facebook, and Apple. The researchers identify two key areas in which this is true: Tech companies have greater access to soft-information, and messaging platforms can take the place of the physical locations that banks rely on for meeting with customers.

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Obama: The internet is “the single biggest threat to our democracy”

Back in 2008, Barack Obama famously harnessed the internet and social media to help win the White House. He kept up the embrace once he got there.

Now he worries that the internet and social media have helped create “the single biggest threat to our democracy.”

Obama has been saying a version of this for four years — since he left the White House — but his words are getting steadily more pointed. He’s clearly sounding an alarm, but it’s not exactly clear what he thinks we should do about it.

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Introducing The Biden-Harris Paid-For Online Troll Farm

After a bit of research into the Biden-Harris digital operation, I found a likely answer to my question. It’s no secret to anyone in the digital subcontracting business that India’s troll farm industry is the largest in the world. It boasts a global clientele, and it is also the cheapest, and most decentralized and robust in the world. This service is available for anyone who is willing to pay – western PR agencies, fashion brands, entertainment companies, and political campaigns. The more money you have, the more online muscle you can flex. As it turns out, in 2020 one of this shady industry’s biggest and best paying clients has been the Biden-Harris campaign.

As one troll farm operator in India told Newsweek recently, “We don’t pick and choose. Joe Biden the person is irrelevant to us. We got a target in August to follow him and engage with his tweets, and we did. The agencies in Delhi who we work with don’t tell us any details, and we don’t ask.”

With very little popularity online and with the election drawing near, in August the Biden campaign reached out to troll farms in India in order to artificially boost Joe’s lack luster Twitter presence, and received an immediate injection of tens of thousands of fake followers which were literally purchased from troll farms located throughout rural India. On this point, Newsweek added:

“Within two weeks of Biden selecting Kamala Harris as his running mate on August 12, his Twitter following jumped by 738,595 new followers—a 9.1 percent leap. The number hit 11 million by the third week of October.”

If memory serves me correctly, aren’t these the very same practices that federal law enforcement agencies spent the last four years condemning as systemic during the 2016 presidential election?

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