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Facial recognition use by South Wales Police ruled unlawful

The use of automatic facial recognition (AFR) technology by South Wales Police is unlawful, the Court of Appeal has ruled.

It follows a legal challenge brought by civil rights group Liberty and Ed Bridges, 37, from Cardiff.

But the court also found its use was proportionate interference with human rights as the benefits outweighed the impact on Mr Bridges.

South Wales Police said it would not be appealing the findings.

Mr Bridges had said being identified by AFR caused him distress.

The court upheld three of the five points raised in the appeal.

https://www.bbc.com/news/uk-wales-53734716

#Europe #UK #Face #Recognition
400 Million Indians Might Soon Need To Use Facial Recognition To Access Their Bank Accounts

Four banks are currently testing facial recognition systems for two-week trial periods

More than 400 million people in India who have a government-sponsored bank account or receive financial assistance from the government may soon have to look into a facial recognition camera to get their money.

The Indian national government is testing a change to its digital identification program, Aadhaar, that would make facial and iris recognition necessary to receive benefits, according to the Economic Times’ tech site ETtech. Aadhaar allows people access to a range of services, including scholarships, pensions, and some welfare programs.

https://onezero.medium.com/access-to-welfare-programs-in-india-could-soon-depend-on-facial-recognition-scans-a09d21a96b1d

#Asia #India #bank #face #recognition #biometrics #privacy #surveillance
The hack that could make face recognition think someone else is you

Face recognition is rapidly proliferating as a way to identify people at airports and in high security scenarios—but it's far from foolproof.

Researchers have demonstrated that they can fool a modern face recognition system into seeing someone who isn’t there.

A team from the cybersecurity firm McAfee set up the attack against a facial recognition system similar to those currently used at airports for passport verification. By using machine learning, they created an image that looked like one person to the human eye, but was identified as somebody else by the face recognition algorithm—the equivalent of tricking the machine into allowing someone to board a flight despite being on a no-fly list.

https://www.technologyreview.com/2020/08/05/1006008/ai-face-recognition-hack-misidentifies-person/

#McAfee #AI #face #recognition
Border Patrol Has Used Facial Recognition to Scan More Than 16 Million Fliers — and Caught Just 7 Imposters

A new report lays out CBP’s shoddy implementation of facial recognition technology

The agency that runs the United States’ airport and border facial recognition program has failed to properly tell the public about how it works, a new report has found. In whole, the report reads like a major red flag: The U.S. government is charging ahead with the adoption of this questionable technology, and it’s not informing the public or keeping proper tabs on accuracy.

By law, the Customs and Border Patrol is supposed to inform the public when facial recognition is being used by putting up clear, legible signs telling people that their faces are being scanned and how they can opt out. The department is also supposed to put accurate, up-to-date information online about its facial recognition, and provide information through its call center.

https://onezero.medium.com/border-patrol-used-facial-recognition-to-scan-more-than-16-million-fliers-and-caught-7-imposters-21332a5c9c40

#US #CBP #face #recognition
The race to build facial recognition tech for Africa is being led by this award-winning engineer

Facial recognition technology is not widely employed in Africa, partly because the technology available up till now has not been adept at identifying and differentiating the faces of Black people. US government tests of the best Western-developed facial recognition systems have shown them to misidentify Black people at rates up to five to 10 times higher than they do white people.

The racial disparity in the performance of the biometric artificial intelligence technology which forms the backbone of these systems stemmed from an obvious problem: they are trained by using datasets mostly made up of white faces.

In 2018, four software engineers set up a company in Ghana to address this limitation of commonly available facial recognition software. They were spurred by their own research which revealed Ghanaian banks are beset by widespread identity fraud and cybercrime and spend nearly $400 million a year to identify their customers.

Led by Charlette N’Guessan, an engineer originally from neighboring Côte d’Ivoire, the group developed its own facial recognition software, BACE API, using artificial intelligence. In contrast to Western developers, they trained BACE API using a more diverse dataset with a sizable representation of Black African faces to suit the local market.

https://qz.com/africa/1905079/facial-recognition-tech-in-africa-boosted-by-ghana-ai-startup/

#Africa #face #recognition #biometrics
Op-Ed: The global AI industry is intensifying mass surveillance in India

Facial recognition technology poses challenges to human rights and democratic accountability

Artificial Intelligence technologies are often presented as evidence of society’s progress toward a utopian vision: a data-driven, corruption-free world that has eradicated individual greed and human error.

Instead, the increasing adoption of such systems by a range of governments around the world indicates that these automated systems can also be emphatically anti-democratic, empowering mass surveillance with little accountability and oversight, and serving as a powerful tool for the harassment of dissenting voices.

https://medium.com/dfrlab/op-ed-the-global-ai-industry-is-intensifying-mass-surveillance-in-india-5c79ebc1bde2

#Asia #India #AI #face #recognition #biometrics #surveillance
UK firm to power face verification in Singapore's digital identity system

British firm iProov inks deal to provide face verification technology used in Singapore's national digital identity system, enabling four million users to access e-government services with a biometric scan.

Singapore has inked a deal with British vendor iProov to provide face verification technology used in the Asian country's national digital identity system. Already launched as a pilot earlier this year, the feature allows SingPass users to access e-government services via a biometric, bypassing the need for passwords.

The agreement also sees Singapore-based digital government services specialist, Toppan, involved in the deployment of the facial verification technology.

https://www.zdnet.com/article/uk-firm-to-power-face-verification-in-singapores-digital-identity-system/

#Asia #Singapore #face #verification #biometrics
Despite Denials, LAPD Reportedly Used Facial Recognition Nearly 30,000 Times Since 2009

Recent denials that the Police Department used facial recognition were mistakes, Assistant Chief Horace Frank told the paper. Frank said he told the city’s Police Commission about its use two years ago.

The Los Angeles Police Department has used facial-recognition software nearly 30,000 times since 2009 even while denying at times that it used the controversial technology at all, the Los Angeles Times reported Monday.

The LAPD doesn't have its own face-scanning platform but uses the face-comparison software provided through the Los Angeles County Regional Identification System, a database of about 9 million mugshots, the Times said.

Recent denials that the Police Department used facial recognition were mistakes, Assistant Chief Horace Frank told the paper. Frank said he told the city’s Police Commission about its use two years ago.

https://www.nbclosangeles.com/news/local/despite-denials-lapd-reportedly-used-facial-recognition-nearly-30000-times-since-2009/2431926/

#US #LAPD #face #recognition #surveillance #privacy
Exposing Your Face Isn't a More Hygienic Way to Pay

A company called PopID has created an identity-management system that uses
face recognition. Their first use case is as a system for in-store, point of sale payments using face recognition as authorization for payment.

They are promoting it as a tool for restaurants, claiming that it is pandemic-friendly because it is contactless.

Nonetheless, the PopID payment system is less secure than alternatives, unfriendly to privacy, and is likely riskier than other payment alternatives for anyone concerned about catching COVID-19. On top of these issues, PopID is pitching it as a screening tool for COVID-19 infection, another task that it's completely unsuited for.

👉🏼 Equities issues

It's important that payment systems not disadvantage cash payments, which have the best social equity. Many people are under-banked and in hard times such as these, many people use cash as a way to help them manage their budgets and spending. Cash is also the most privacy-friendly way to pay. As convenient as other systems are, and despite cash not being contactless, we need to protect people's ability to use cash1.

PopID is a charge-up-and-spend system. To lower their costs, PopID has its users charge up an account wn ith them using a credit card or debit card, and payments are deducted from that. Charge-and-spend systems are good for the store, and less good for the person using them; they amount to an interest-free loan that the consumer gives the merchant. This is no small thing: Starbucks, PayPal, and Walmart all have billions in interest-free loans from their customers. This further disadvantages people with budgets, as it requires them to give PopID money before it is spent and keep a balance in their system in anticipation of spending it.

👀 👉🏼 https://www.eff.org/deeplinks/2020/09/exposing-your-face-isnt-more-hygienic-way-pay

#eff #face #recognition #PopID #contactless #pay
📡@cRyPtHoN_INFOSEC_DE
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@cRyPtHoN_INFOSEC_EN
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@BlackBox_Archiv
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@NoGoolag
DHS Admits Facial Recognition Photos Were Hacked, Released on Dark Web

Traveler’s faces, license plates, and care information were hacked from a subcontractor called Perceptics and released on the dark web.

The Department of Homeland Security (DHS) finally acknowledged Wednesday that photos that were part of a facial recognition pilot program were hacked from a Customs and Border Control subcontractor and were leaked on the dark web last year.

Among the data, which was collected by a company called Perceptics, was a trove of traveler’s faces, license plates, and care information. The information made its way to the Dark Web, despite DHS claiming it hadn’t. In a newly released report about the incident, the DHS Office of Inspector General admitted that 184,000 images were stolen and at least 19 of them were posted to the Dark Web.

https://www.vice.com/en_us/article/m7jzbb/dhs-admits-facial-recognition-photos-were-hacked-released-on-dark-web

#US #DHS #face #recognition #photos #hacked
Another City Is Using Crime Control as an Excuse for Facial Recognition Surveillance

Varanasi in India is installing 3,000 CCTV cameras with automated facial recognition tech at the city’s crossings.

From mandatory face masks and temperature checks, to socially distant holiday seasons, 2020 has upended our lives in the most haunting way. It’s also meant that governments across the world could introduce intrusive surveillance technology into our daily lives in the name of public health.

In China, the government has been tracking its citizens by monitoring their smartphones. Meanwhile, countries like Singapore and India have been using a contact tracing app to monitor those infected by the virus, while Israel is using a counter terrorism agency to keep track of its citizens’ movements.

However, these initiatives have been met with backlash from privacy experts and activists, who are concerned about mass surveillance emerging as another side-effect of the pandemic.

Now, Varanasi, a city in the northern Indian state of Uttar Pradesh, is installing a new network of CCTV cameras that will include automated facial recognition cameras (AFRS). Authorities say the sole purpose of these cameras is to advance security measures and track suspected criminals.

https://www.vice.com/en/article/n7ve4q/varanasi-india-using-facial-recognition-surveillance-technology

#Asia #India #surveillance #face #recognition
As China Tracked Muslims, Alibaba Showed Customers How They Could, Too

https://www.nytimes.com/2020/12/16/technology/alibaba-china-facial-recognition-uighurs.html

The website for the tech titan’s cloud business described facial recognition software that could detect members of a minority group whose persecution has drawn international condemnation.

As the Chinese government tracked and persecuted members of predominantly Muslim minority groups, the technology giant Alibaba taught its corporate customers how they could play a part.

Alibaba’s website for its cloud computing business showed how clients could use its software to detect the faces of Uighurs and other ethnic minorities within images and videos, according to pages on the site that were discovered by the surveillance industry publication IPVM and shared with The New York Times. The feature was built into Alibaba software that helps web platforms monitor digital content for material related to terrorism, pornography and other red-flag categories, the website said.

The discovery could thrust one of the world’s most valuable internet companies into the storm of international condemnation surrounding China’s treatment of its Muslim minorities.


#Asia #China #Alibaba #Uyghur #face #recognition #surveillance
Hacked Surveillance Camera Firm Shows Staggering Scale of Facial Recognition

A hacked customer list shows that facial recognition company Verkada is deployed in tens of thousands of schools, bars, stores, jails, and other businesses around the country.

Hackers
have broken into Verkada, a popular surveillance and facial recognition camera company, and managed to access live feeds of thousands of cameras across the world, as well as siphon a Verkada customer list. The breach shows the astonishing reach of facial recognition-enabled cameras in ordinary workplaces, bars, parking lots, schools, stores, and more.

The spreadsheet, provided by one of the hackers to Motherboard, shows more than 24,000 unique entries in the "organization name" column. Verkada's cameras are capable of identifying particular people across time by detecting their faces, and are also capable of filtering individuals by their gender, the color of their clothes, and other attributes.

"It's so abysmal," Tillie Kottman, one of the hackers claiming responsibility, told Motherboard in an online chat, referring to the ease of access to the cameras once they discovered a username and password online. Bloomberg first reported the news of the breach on Tuesday, and reported that the hackers had managed to access live video feeds from companies such as Tesla and Cloudflare, as well as jails and hospitals.

https://www.vice.com/en/article/wx83bz/verkada-hacked-facial-recognition-customers

https://www.bloomberg.com/news/articles/2021-03-09/hackers-expose-tesla-jails-in-breach-of-150-000-security-cams

#US #face #recognition #surveillance #privacy #hacker #hacking
Fears of 'digital dictatorship' as Myanmar deploys AI

Protesters fear they are being tracked by cameras armed with facial recognition technology

Protesters
in Myanmar fear they are being tracked with Chinese facial recognition technology, as spiralling violence and street surveillance spark fears of a "digital dictatorship" to replace ousted leader Aung San Suu Kyi.

Human rights groups say the use of artificial intelligence (AI) to check on citizens' movements poses a "serious threat" to their liberty.

More than 200 people have been killed since Nobel peace laureate Suu Kyi was overthrown in a Feb. 1 coup, triggering mass protests that security forces have struggled to suppress with increasingly violent tactics.

Security forces have focused on stamping out dissent in cities including the capital Naypyitaw, Yangon and Mandalay, where hundreds of CCTV cameras had been installed as part of a drive to improve governance and curb crime.

https://news.trust.org/item/20210318130045-zsgja

#myanmar #dictator #face #recognition #cctv #surveillance
Feds Track Down Capitol Rioter With Facial Recognition Hit On His Girlfriend’s Instagram

Stephen Chase Randolph was arrested in Kentucky. Federal authorities say he told undercover agents it was “f**king fun” to be in the Capitol mob.

Federal
authorities arrested a suspect in the U.S. Capitol riot in Harrodsburg, Kentucky, on Tuesday after they used facial recognition programs to find an image of him on his girlfriend’s Instagram page.

Stephen Chase Randolph, federal authorities say, knocked over a U.S. Capitol Police officer manning the barriers at the building, “causing [Officer-1]’s head to hit the stairs behind her, resulting in a loss of consciousness.” He then “continued to assault two other USCP officers by physically pushing, shoving, grabbing, and generally resisting the officers and interfering with their official duties,” the federal officials said.

https://www.huffpost.com/entry/facial-recognition-capitol-defendants_n_607f34c0e4b0df3610c17614

#Instagram #face #recognition #privacy
U.S. banks deploy AI to monitor customers, workers amid tech backlash

Several U.S. banks have started deploying camera software that can analyze customer preferences, monitor workers and spot people sleeping near ATMs, even as they remain wary about possible backlash over increased surveillance, more than a dozen banking and technology sources told Reuters.

Previously unreported trials at City National Bank of Florida and JPMorgan Chase & Co as well as earlier rollouts at banks such as Wells Fargo & Co offer a rare view into the potential U.S. financial institutions see in facial recognition and related artificial intelligence systems.

Widespread deployment of such visual AI tools in the heavily regulated banking sector would be a significant step toward their becoming mainstream in corporate America.

Bobby Dominguez, chief information security officer at City National, said smartphones that unlock via a face scan have paved the way.

"We're already leveraging facial recognition on mobile," he said. "Why not leverage it in the real world?"

https://www.reuters.com/technology/us-banks-deploy-ai-monitor-customers-workers-amid-tech-backlash-2021-04-19/

#US #AI #face #recognition #banks #privacy
Random Face Generator

A Cross-Platform app to Generate Faces of (non-existing) People

Random Face Generator is a flutter app to generate random faces. The Generated faces do not actually exist in real life.This app uses the thispersondoesnotexist and the fakeface API.
Each image has been pre-analyzed by an AI algorithm called pypy-agender to identify the gender and age.

Download - https://github.com/adityar224/Random-Face-Generator/releases

https://github.com/adityar224/Random-Face-Generator

#Face #Generator #AI

@foss_Android