Toggle light / dark theme

London police chief ‘completely comfortable’ using facial recognition with 98 percent false positive rate

While facial recognition performs well in controlled environments (like photos taken at borders), they struggle to identify faces in the wild. According to data released under the UK’s Freedom of Information laws, the Metropolitan’s AFR system has a 98 percent false positive rate — meaning that 98 percent of the “matches” it makes are of innocent people.


The head of London’s Metropolitan Police force has defended the organization’s ongoing trials of automated facial recognition systems, despite legal challenges and criticisms that the technology is “almost entirely inaccurate.”

According to a report from The Register, UK Metropolitan Police commissioner Cressida Dick said on Wednesday that she did not expect the technology to lead to “lots of arrests,” but argued that the public “expect[s]” law enforcement to test such cutting-edge systems.

A Criminal Gang Used a Drone Swarm To Obstruct an FBI Hostage Raid

And that’s just one of the ways bad guys are putting drones to use, law enforcement officials say.

DENVER, Colorado — Last winter, on the outskirts of a large U.S. city, an FBI hostage rescue team set up an elevated observation post to assess an unfolding situation. Soon they heard the buzz of small drones — and then the tiny aircraft were all around them, swooping past in a series of “high-speed low passes at the agents in the observation post to flush them,” the head of the agency’s operational technology law unit told attendees of the AUVSI Xponential conference here. Result: “We were then blind,” said Joe Mazel, meaning the group lost situational awareness of the target. “It definitely presented some challenges.”

The incident remains “law enforcement-sensitive,” Mazel said Wednesday, declining to say just where or when it took place. But it shows how criminal groups are using small drones for increasingly elaborate crimes.

Most Insane Police Vehicles In The World

There are a list of thousands of vehicles that have been tweaked for speed, riveting performance and exhilarating power that’s built and tested to be taken to extremes.

Due to the increasing number of millionaires and their treasured toys, this was definitely a wake up call for the police forces to step their game up and to put a counter measure leverage system into place by upgrading their state vehicles so that they aren’t easily intimidated or outrun by the reckless speedsters on the move. We are to take a look at 10 of the best Police Cars in the world.

Nissan Skyline GTR Good ol’ Japan can be give an award for their ability to swiftly develop and adapt to ever-changing times and situations and we can gladly take out hats off for the National Japanese Law Enforcement We immediately see a lot of scope when it comes to a masculine defining car such as the Nissan skyline which is commonly known for its racing abilities as made famous in “The Fast And Furious” Movie as well.

Pentagon Tightens Rules After Fake Cops Buy $1.2M in Weapons

A sting operation run by the Government Accountability Office revealed a number of loopholes that bad actors could use to buy excess military arms and equipment through the 1033 program.

When you realize you’ve somehow sold $1.2 million worth of controlled military equipment to a law enforcement agency that doesn’t exist, you’re likely to jumpstart efforts to reform that program.

That’s what happened when the Defense Logistics Agency learned that a sting operation run by the Government Accountability Office had exploited vulnerabilities in the Pentagon’s 1033 program, which sells local, state, and federal law enforcement agencies excess military equipment.

Drone usage by local police, fire departments quickly increasing

WASHINGTON — Approximately a dozen police, fire and emergency agencies surrounding Washington, D.C. are using drones to capture criminal suspects and fight fires, but the unmanned aircraft systems also are sparking privacy concerns and legislation.

At least 347 state and local police, sheriff, fire and emergency units in the United States have acquired drones, according to an April report by Center for the Study of the Drone at Bard College.

“More and more departments in the public safety space, particularly in law enforcement, are acquiring drones for a range of operations,” says Dan Gettinger, co-director of the research group.

AI sentencing criminals is a bad idea. This is why

Artificial intelligence is already helping determine your future – whether it’s your Netflix viewing preferences, your suitability for a mortgage or your compatibility with a prospective employer. But can we agree, at least for now, that having an AI determine your guilt or innocence in a court of law is a step too far?

Worryingly, it seems this may already be happening. When American Chief Justice John Roberts recently attended an event, he was asked whether he could forsee a day “when smart machines, driven with artificial intelligences, will assist with courtroom fact finding or, more controversially even, judicial decision making”. He responded: “It’s a day that’s here and it’s putting a significant strain on how the judiciary goes about doing things”.

Roberts might have been referring to the recent case of Eric Loomis, who was sentenced to six years in prison at least in part by the recommendation of a private company’s secret proprietary software. Loomis, who has a criminal history and was sentenced for having fled the police in a stolen car, now asserts that his right to due process was violated as neither he nor his representatives were able to scrutinise or challenge the algorithm behind the recommendation.

Two Ohio inmates hacked their prison from the inside using makeshift computers built from spare parts

Decentralization of technology and ever cheaper electronics and materials will also bring more risks. Not to mention the serious risks of terrorism.

Here is a less harmful example of what decentralized tech can do.


Using computers they’d built out of discarded electronics and hidden in a closet ceiling, two inmates in an Ohio prison hacked the facility’s network, downloaded porn, and applied for credit cards with stolen information, according to a report released Tuesday (April 11) by Ohio’s inspector general’s office.

The computers were discovered in 2015 after the IT department at the Marion Correctional Institution, a medium-security prison, noticed that a computer on the network had exceeded its daily usage limit. Alerts indicated that the computer had attempted to hack through the network’s controls, but was unsuccessful.

Although a contractor for the prison was logged into the computer in question, the IT department believed someone else was responsible for the breaches, as the flagged activity had taken place outside of working hours. After obtaining the computer’s name and IP address, the IT workers determined it was an unauthorized device, “because part of its computer name, ‘-lab9-,’ fell outside of the numbers assigned to the six known computers used in the PC training area.”

Transhumanism: More Nightmare Than Dream?

A new well written but not very favorable write-up on #transhumanism. Despite this, more and more publications are tackling describing the movement and its science. My work is featured a bit.


On the eve of the 20th century, an obscure Russian man who had refused to publish any of his works began to finalize his ideas about resurrecting the dead and living forever. A friend of Leo Tolstoy’s, this enigmatic Russian, whose name was Nikolai Fyodorovich Fyodorov, had grand ideas about not only how to reanimate the dead but about the ethics of doing so, as well as about the moral and religious consequences of living outside of Death’s shadow. He was animated by a utopian desire: to unite all of humanity and to create a biblical paradise on Earth, where we would live on, spurred on by love. He was an immortalist: one who desired to conquer death through scientific means.

Despite the religious zeal of his notions—which a number of later Christian philosophers unsurprisingly deemed blasphemy—Fyodorov’s ideas were underpinned by a faith in something material: the ability of humans to redevelop and redefine themselves through science, eventually becoming so powerfully modified that they would defeat death itself. Unfortunately for him, Fyodorov—who had worked as a librarian, then later in the archives of Ministry of Foreign Affairs—did not live to see his project enacted, as he died in 1903.

Fyodorov may be classified as an early transhumanist. Transhumanism is, broadly, a set of ideas about how to technologically refine and redesign humans, such that we will eventually be able to escape death itself. This desire to live forever is strongly tied to human history and art; indeed, what may be the earliest of all epics, the Sumerian Epic of Gilgamesh, portrays a character who seeks a sacred plant in the black depths of the sea that will grant him immortality. Today, however, immortality is the stuff of religions and transhumanism, and how these two are different is not always clear to outsiders.

Contemporary schemes to beat death usually entail being able to “upload” our minds into computers, then downloading our minds into new, better bodies, cyborg or robot bodies immune to the weaknesses that so often define us in our current prisons of mere flesh and blood. The transhumanist movement—which is many movements under one umbrella—is understandably controversial; in 2004 in a special issue of Foreign Policy devoted to deadly ideas, Francis Fukuyama famously dubbed transhumanism one of the most dangerous ideas in human history. And many, myself included, have a natural tendency to feel a kind of alienation from, if not repulsion towards, the idea of having our bodies—after our hearts stop—flushed free of blood and filled with cryonic nitrogen, suspending us, supposedly, until our minds can be uploaded into a new, likely robotic, body—one harder, better, and faster, as Daft Punk might have put it.

Could Predictive Policing Lead to a Real-Life Minority Report?

Everyone knows prevention is better than a cure, and that’s as true for law enforcement as it is for medicine. But there’s little evidence that a growing trend towards “predictive policing” is the answer, and it could even bake in racial bias.

Police departments faced with tight budgets are increasingly turning to machine learning-enabled software that can sift through crime data to help predict where crimes are likely to occur and who might commit them.

Using statistics in law enforcement is nothing new. A statistical system for tracking crime called Compstat was pioneered in New York in 1994 and quickly became popular elsewhere. Since then, crime has fallen 75 percent in New York, which has been credited by some to the technology. But while Compstat simply helped identify historical hotspots, “predictive policing” uses intelligent algorithms to forecast tomorrow’s hotspots and offenders.