Facial recognition technology breaches GDPR says Vestager
Margrethe Vestager, EU’s tech chief Margrethe Vestager said on Thursday that facial recognition technologies breach the need to give consent, which is stipulated in Europe’s data protection rules (GDPR).
“China might have data and the US might have money, but Europe has purpose,” the Commission’s VP for a Europe Fit for the Digital Age said.
The use of facial recognition technology remains highly controversial due to fears of China-type surveillance regimes and human rights violations, with Ursula von der Leyen, EC President pledging to distance Europe from these practices and to announcing new AI ethical and human-centred rules in the first 100 days of her mandate.
more on facial recognition in this IMS blog
Vietnam’s battalions of ‘cyber-armies’ silencing online dissent from r/TechNewsToday
Vietnam‘s cyber-army, also known as Force 47, was deployed to counter the content on social media platforms deemed critical of the way the authorities handled the situation.
Vietnam’s Force 47 is run by the Ministry of Public Security (MPS) to hack anti-government websites and spread pro-government messages online, and is believed to be at least 10,000-strong.
Digital rights campaigners accuse Vietnam of attempting to replicate China’s “Great Firewall” by regulating and censoring the internet with the cybersecurity law.
Neither Google, which owns YouTube, nor Facebook has complied with the legislation, which requires the American tech giants to open local data storage facilities inside Vietnam by January 1.
Vietnam has a population of 96 million. With more than 60 million Facebook users, it is the platform’s one of the fastest-growing markets.
The Secretive Company That Might End Privacy as We Know It: It’s taken 3 billion images from the internet to build a an AI driven database that allows US law enforcement agencies identify any stranger. from r/Futurology
Until now, technology that readily identifies everyone based on his or her face has been taboo because of its radical erosion of privacy. Tech companies capable of releasing such a tool have refrained from doing so; in 2011, Google’s chairman at the time said it was the one technology the company had held back because it could be used “in a very bad way.” Some large cities, including San Francisco, have barred police from using facial
But without public scrutiny, more than 600 law enforcement agencies have started using Clearview in the past year, according to the company, which declined to provide a list. recognition technology.
Facial recognition technology has always been controversial. It makes people nervous about Big Brother. It has a tendency to deliver false matches for certain groups, like people of color. And some facial recognition products used by the police — including Clearview’s — haven’t been vetted by independent experts.
Clearview deployed current and former Republican officials to approach police forces, offering free trials and annual licenses for as little as $2,000. Mr. Schwartz tapped his political connections to help make government officials aware of the tool, according to Mr. Ton-That.
“We have no data to suggest this tool is accurate,” said Clare Garvie, a researcher at Georgetown University’s Center on Privacy and Technology, who has studied the government’s use of facial recognition. “The larger the database, the larger the risk of misidentification because of the doppelgänger effect. They’re talking about a massive database of random people they’ve found on the internet.”
Law enforcement is using a facial recognition app with huge privacy issues Clearview AI’s software can find matches in billions of internet images. from r/technology
Part of the problem stems from a lack of oversight. There has been no real public input into adoption of Clearview’s software, and the company’s ability to safeguard data hasn’t been tested in practice. Clearview itself remained highly secretive until late 2019.
The software also appears to explicitly violate policies at Facebook and elsewhere against collecting users’ images en masse.
while there’s underlying code that could theoretically be used for augmented reality glasses that could identify people on the street, Ton-That said there were no plans for such a design.
Banning Facial Recognition Isn’t Enough from r/technology
In May of last year, San Francisco banned facial recognition; the neighboring city of Oakland soon followed, as did Somerville and Brookline in Massachusetts (a statewide ban may follow). In December, San Diego suspended a facial recognition program in advance of a new statewide law, which declared it illegal, coming into effect. Forty major music festivals pledged not to use the technology, and activists are calling for a nationwide ban. Many Democratic presidential candidates support at least a partial ban on the technology.
facial recognition bans are the wrong way to fight against modern surveillance. Focusing on one particular identification method misconstrues the nature of the surveillance society we’re in the process of building. Ubiquitous mass surveillance is increasingly the norm. In countries like China, a surveillance infrastructure is being built by the government for social control. In countries like the United States, it’s being built by corporations in order to influence our buying behavior, and is incidentally used by the government.
People can be identified at a distance by their heart beat or by their gait, using a laser-based system. Cameras are so good that they can read fingerprints and iris patterns from meters away. And even without any of these technologies, we can always be identified because our smartphones broadcast unique numbers called MAC addresses.
China, for example, uses multiple identification technologies to support its surveillance state.
There is a huge — and almost entirely unregulated — data broker industry in the United States that trades on our information.
This is why many companies buy license plate data from states. It’s also why companies like Google are buying health records, and part of the reason Google bought the company Fitbit, along with all of its data.
The data broker industry is almost entirely unregulated; there’s only one law — passed in Vermont in 2018 — that requires data brokers to register and explain in broad terms what kind of data they collect.
The Secretive Company That Might End Privacy as We Know It from r/technews
Until now, technology that readily identifies everyone based on his or her face has been taboo because of its radical erosion of privacy. Tech companies capable of releasing such a tool have refrained from doing so; in 2011, Google’s chairman at the time said it was the one technology the company had held back because it could be used “in a very bad way.” Some large cities, including San Francisco, have barred police from using facial recognition technology.
on social credit system in this IMS blog
This startup claims its deepfakes will protect your privacy
more on deep fake in this IMS blog
TikTok says it doesn’t censor content, but a user was just locked out after a viral post criticizing China
TikTok says it doesn’t censor content, but a user was just locked out after a viral post criticizing China from technology
Families of missing Uighurs use Tiktok video app to publicise China detentions
Nov. 28, 2019
TikTok sorry for blocking teenager who disguised Xinjiang video as make-up tutorial
A spokesman for the platform on Thursday blamed a “human moderation error” for the removal of a video by 17-year-old Feroza Aziz disguised as a makeup tutorial to avoid being censored.
Owned by the Beijing-based technology company ByteDance, TikTok is one of few Chinese apps that have gained popularity outside of China. TikTok has said that it does not apply Chinese censorship rules on the international version of its app.
more on tik tok in this iMS blog
AI computing involves two phases: training and inference. Training requires computers that can process enormous amounts of data. For example, getting an AI system to recognize what’s in photographs requires a computer to sort through billions of labeled photos to create a model. That model is used in the second step to infer, or identify, what’s in a specific photo.
Intel already sells its Nervana chips for training and inference to data centers packed with servers, computing infrastructure that often powers services at AI-heavy companies such as Google and Facebook. Intel is now shipping its larger, more expensive and power-hungry Nervana NNP-T chips for training and its smaller NNP-I chips for inference, the chipmaker announced.
more on facial recognition in this IMS blog
more on surveillance in this IMS blog