Tag: ‘technology

The Trump Administration Is Building A Pre Crime Panopticon Unlike Any Authoritarian Regime Before It

As of late American citizens have been more concerned with surveillance and privacy than ever before. Rightfully so, as we see an explosion of surveillance equipment being installed across the country.

For decades, liberty activists have diligently watched and warned of the slowly encroaching mission creep of domestic mass surveillance seeping its way into everyday American life. Opposition to such violations of fundamental liberty have been one of the few causes to transcend the false left / right paradigm, with instances such as leftists opposed to the surveillance of civil rights groups during the days of COINTELPRO and conservative opposition to the surveillance of Second Amendment activists.

Even today, amid rising concerns of the mass implementation of Flock cameras across the nation, these concerns are actively creating a bridge of solidarity among the polarized political chasm.

While surveillance of the American citizenry has existed in some way for more than a century, the persistent punitive pervasiveness of such violations of privacy have been perpetually on the rise since the passage of the Patriot Act following the false flag attack of September 11th, 2001.

Interestingly enough, the provisions of the Patriot Act with all of its violations of constitutional protections had already been cooked up well before the September 11th attacks but was projected not to pass a congressional vote until such attacks took place. Indeed, the Patriot Act simply served as an expansion of surveillance authority circumventing the Constitution implemented in the 1996 Antiterrorism Act, itself only justified following the Oklahoma City false flag attack just a year prior. Simply a coincidence, surely. 

The conversation surrounding concerns about domestic mass surveillance reached mainstream dialog following the explosive revelations of NSA whistleblower Edward Snowden in 2013, when leaked documents provided to journalist Glenn Greenwald revealed a sprawling network of illegal spying against American citizens through the National Security Agency’s PRISM program.

Despite Snowden’s revelations and warnings, and subsequent surveillance scandals in the years since, next to nothing has been done to curtail this campaign of illegal mass spying against the American people. In fact, it has only continued to worsen.

This brings us to today. Oftentimes in discussion of illegal mass surveillance, the cynical statist would posit a straw man argument to the likes of “What does it matter? If you’ve done nothing wrong you should have nothing to hide.” As if an all encompassing surveillance state simply exists in a vacuum. As if history has not demonstrated again and again the kind of atrocities enabled by repressive regimes who track, trace, and database their citizenry.

Mass surveillance does not simply exist to “keep an eye on people”, it serves as a tool of the state to suppress dissent, identify and silence dissidents, and centralize control over the populace.

Here at The Free Thought Project, we have warned for years about the dangers of integrating artificial intelligence with law enforcement. 

Now, it appears the Trump administration is diving head first into a Minority Report style pre crime surveillance system powered by AI to throw a digital dragnet over the entirety of the American people.

Keep reading

AI: The Ominous Opportunity

“You can see the computer age everywhere but in the productivity statistics.” — Robert Solow, 1987

The economy has been growing steadily since we started to recover from the 2020 pandemic and shutdown; the unemployment rate is and has been near the bottom of the range normally considered to be full employment; and, wages adjusted for inflation are the highest they’ve ever been. Nevertheless, the productivity slowdown observed by Robert Solow forty years ago seems to have returned, and surveys of consumer confidence are at or near their all-time lows. This essay explores possible reasons for the productivity slowdown and widespread economic uncertainty in the midst of our AI boom.

Measurement Problems

Among the possible explanations of the productivity slowdown or what merely appears to be a productivity slowdown is our limited ability to measure productivity in an economy increasingly dominated by services.

It wasn’t so long ago that productivity was measured in the sectors of the economy concerned with physical output such as agriculture and manufacturing. The productivity of office workers was either ignored or simply subsumed into the productivity of goods-producing companies.

There were problems of measuring quality differences in goods, but these could in theory be surmounted. For example, by comparisons of the prices of old and new vintages of similar products. And, the changing composition of production could be represented by slowly-changing weights in indexes of production.

As much effort as was put into measuring production, systematic discrepancies persist in indexes of the prices of services versus the prices of commodities. The CPI, for example, typically registers a 1 or 2 percentage point higher rate of inflation than the PPI. With the digital economy, now augmented by AI, a serious effort must be made to measure the production of information, entertainment and services. For example, an hour of broadcast time prior to the development of the internet might have cost something like $1 million (in today’s dollars). What about the several hundred thousand hours of video uploaded to YouTube nowadays?

Prototypes (as Opposed to Practical Inventions)

In the past, it took a while for breakthroughs such as the steam engine to have a discernible impact on production. It was more or less a century from prototype steam engines to when steam engines were first put to a practical use (in the refreshing of air in coal mines). Then, several more decades until steam engines were used to run industrial machinery. Then, yet several more decades until steam-powered locomotives were used in transportation.

Even when the steam-powered locomotive was developed, horse-drawn trains were more reliable. The story is told of a race in 1830 between a steam-powered locomotive and a horse-drawn train along the Baltimore & Ohio Railroad from Baltimore to Endicott City. The horse won the race since the locomotive broke down. Nevertheless, over the next century, horses lost their jobs in transportation.

Ditto, the steam-powered hammer. According to folklore, John Henry who—through superhuman effort—beat the steam-powered hammer, preserving jobs for the men of railroad work gangs. Nevertheless, over the next century, men lost their jobs to industrial machinery. Warehousemen who relied on their strength to manhandle barrels of pork, flour, and other produce were replaced by forklifts. Dockworkers lost their jobs to electric-powered derricks.

It is easy, looking back, to see the impact of the Industrial Revolution on productivity, on wages, and on standards of living. But, in real time, it took time for these benefits to accrue. In the meanwhile, workers had to deal with disruptive change.

More recently, in 1996, a super-computer named Deep Blue challenged Gary Kasparov, the world chess champion of the humans. Kasparov won the match 3 games to 1 game to 2 draws. However, the victory was fleeting. A year later, Deep Blue won a rematch; and, nowadays, a decent laptop computer can easily defeat a grandmaster. Today, in the current phase of the Industrial Revolution, computers, robots, and AI are coming after our jobs, not steam-, gasoline- and electric-powered machines.

Keep reading

UK Police Pilot AI System to Track “Suspicious” Driver Journeys

Police forces across Britain are experimenting with artificial intelligence that can automatically monitor and categorize drivers’ movements using the country’s extensive number plate recognition network.

Internal records obtained by Liberty Investigates and The Telegraph reveal that three of England and Wales’s nine regional organized crime units are piloting a Faculty AI-built program designed to learn from vehicle movement data and detect journeys that algorithms label “suspicious.”

For years, the automatic number plate recognition (ANPR) system has logged more than 100 million vehicle sightings each day, mostly for confirming whether a specific registration has appeared in a certain area.

The new initiative changes that logic entirely. Instead of checking isolated plates, it teaches software to trace entire routes, looking for patterns of behavior that resemble the travel of criminal networks known for “county lines” drug trafficking.

The project, called Operation Ignition, represents a change in scale and ambition.

Unlike traditional alerts that depend on officers manually flagging “vehicles of interest,” the machine learning model learns from past data to generate its own list of potential targets.

Official papers admit that the process could involve “millions of [vehicle registrations],” and that the information gathered may guide future decisions about the ethical and operational use of such technologies.

What began as a Home Office-funded trial in the North West covering Merseyside, Greater Manchester, Cheshire, Cumbria, Lancashire, and North Wales has now expanded into three regional crime units.

Keep reading

Europol Pinpoints When Skynet-Like Human Resistance To AI Could Emerge

If Goldman’s estimates of a partial or full displacement of up to 300 million jobs across the Western world due to the proliferation of artificial intelligence and automation are even remotely correct, a new report suggests that by 2035, society could face widespread public resentment, protests, and even acts of sabotage directed at robotic systems.

A new report by Europol, the EU’s central intelligence and coordination hub for serious crime and terrorism, identifies around 2035 as a potential inflection point at which a human resistance movement against AI could begin to take shape, in a scenario that echoes the resistance to Skynet in the Terminator film franchise.

Europol warned of “bot-bashing” incidents and acts of sabotage against robotic systems in the middle of the next decade, as the spread of AI and robotics could fuel a populist backlash against technologies that have hollowed out parts of the Western economy and left millions unemployed.

Keep reading

How Palantir Is Expanding the Surveillance State

When people complain about Big Tech, they tend to mean companies like Meta, Google, and X—entities providing free tools and platforms that we can choose whether to use. Much less attention is directed at the tech companies helping the federal government consolidate and analyze data on all of us. Companies like the data analytics firm Palantir, created by Paypal co-founder and Donald Trump supporter Peter Thiel.

Palantir has long been connected to government surveillance. It was founded in part with CIA money, it has served as an Immigration and Customs Enforcement (ICE) contractor since 2011, and it’s been used for everything from local law enforcement to COVID-19 efforts. But the prominence of Palantir tools in federal agencies seems to be growing under President Trump. “The company has received more than $113 million in federal government spending since Mr. Trump took office, according to public records, including additional funds from existing contracts as well as new contracts with the Department of Homeland Security and the Pentagon,” reports The New York Times, noting that this figure “does not include a $795 million contract that the Department of Defense awarded the company last week, which has not been spent.”

Palantir technology has largely been used by the military, the intelligence agencies, the immigration enforcers, and the police. But its uses could be expanding.

“Representatives of Palantir are also speaking to at least two other agencies—the Social Security Administration and the Internal Revenue Service—about buying its technology, according to six government officials and Palantir employees with knowledge of the discussions,” reports the Times.

Along with the Trump administration’s efforts to share more data across federal agencies, this signals that Palantir’s huge data analysis capabilities could wind up being wielded against all Americans.

This won’t allow the authorities watch us more so much as it helps them make use of all the data it’s already got on us. But that’s unsettling too.

“The ultimate concern is a panopticon of a single federal database with everything that the government knows about every single person in this country,” Cody Venzke, senior policy counsel at the American Civil Liberties Union, told Wired in April. “What we are seeing is likely the first step in creating that centralized dossier on everyone in this country.”

Keep reading