Group items tagged

"A big leak of data from a Chinese cybersecurity firm has revealed state security agents paying tens of thousands of pounds to harvest data on targets, including foreign governments, while hackers hoover up huge amounts of information on any person or institution who might be of interest to their prospective clients. The cache of more than 500 leaked files from the Chinese firm I-Soon was posted on the developer website Github and is thought by cybersecurity experts to be genuine. Some of the targets discussed include Nato and the UK Foreign Office."

"The most well-documented of these deals with the hash function used to "anonymize" the license and medallion numbers. A bit of lateral thinking from one civic hacker and the data was completely de-anonymized. This data can now be used to calculate, for example, any driver's annual income. More disquieting, though, in my opinion, is the privacy risk to passengers. With only a small amount of auxiliary knowledge, using this dataset an attacker could identify where an individual went, how much they paid, weekly habits, etc. I will demonstrate how easy this is to do in the following section."

"But by far the most immediate danger is the role that AI data analysis and generation plays in spreading disinformation and extremism on social media. This technology powers bots and amplification algorithms. These have played a direct role in fomenting conflict in many countries. They are helping to intensify racism, conspiracy theories, political extremism and a plethora of violent, irrationalist movements."

"The mapping information could ostensibly tell third-parties when the owners are most often home, the shape of rooms, the size of houses, and even the frequency of cleanings. Gizmodo imagines that a room's shape could be valuable to Amazon as information on the acoustics of a room containing an Alexa device, informing both volume and directional settings so that its broadcasting and microphone can work properly. "

"Unlike other face recognition technology, their algorithm allows quick searches in big data sets. "Three million searches in a database of nearly 1bn photographs: that's hundreds of trillions of comparisons, and all on four normal servers. With this algorithm, you can search through a billion photographs in less than a second from a normal computer," said Kabakov, during an interview at the company's modest central Moscow office. The app will give you the most likely match to the face that is uploaded, as well as 10 people it thinks look similar."

"Jaron Lanier, the author and inventor of the concept of virtual reality, warned that digital infrastructure was moving beyond human control. He said: "When you try to achieve great scale with automation and the automation exceeds the boundaries of human oversight, there is going to be failure. That goes for governments, for consumer companies, for Google, or a big insurance company. It is infuriating because it is driven by unreasonable greed. In many cases, the systems that tend to fail, fail because of an attempt to make them run automatically with a minimal amount of human oversight.""

"The message seems to be that if you really want to keep something private, treat it as a secret, and in the age of algorithmic analysis and big data, perhaps best to follow Winston Smith's bitter lesson from Nineteen Eighty-Four: "If you want to keep a secret, you must also hide it from yourself.""

"On the contrary, building large centralized databases and predictive algorithms that make decisions on behalf of humans, and which completely ignore privacy concerns, now seem to be the most efficient way of governing. Algorithms now handle college admissions processes, applicants' selection processes for jobs, where to go to college, what to study in that college, which city is best for you to start your career and raise a family, what part of that city you should live in, and even who you should marry."

"About 70% of the world's online traffic is reckoned to pass through Loudoun County. But there is a big problem, centred on a power company called Dominion, which supplies the vast majority of Loudoun County's electricity. According to a 2017 Greenpeace report, only 1% of Dominion's total electricity comes from credibly renewable sources:"

"People will admit more if they are alone than if others are in the room with them. However, on sensitive topics, every survey method will elicit substantial misreporting. People have no incentive to tell surveys the truth. How, therefore, can we learn what our fellow humans are really thinking and doing? Big data. Certain online sources get people to admit things they would not admit anywhere else. They serve as a digital truth serum. Think of Google searches. Remember the conditions that make people more honest. Online? Check. Alone? Check. No person administering a survey? Check."

"It's actually a big myth that search engines need to track your personal search history to make money or deliver quality search results. Almost all of the money search engines make (including Google) is based on the keywords you type in, without knowing anything about you, including your search history or the seemingly endless amounts of additional data points they have collected about registered and non-registered users alike. In fact, search advertisers buy search ads by bidding on keywords, not people….This keyword-based advertising is our primary business model. "

"handy infographic showing the types of data each company admits to collecting"

"The researchers found that "increasing machine and AI readership … motivates firms to prepare filings that are more friendly to machine parsing and processing". So far, so predictable. But there's more: "firms with high expected machine downloads manage textual sentiment and audio emotion in ways catered to machine and AI readers""

"The artificial intelligence (AI) industry could consume as much energy as a country the size of the Netherlands by 2027, a new study warns. Big tech firms have scrambled to add AI-powered services since ChatGPT burst onto the scene last year. They use far more power than conventional applications, making going online much more energy-intensive. However, the study also said AI's environmental impact could be less than feared if its current growth slowed. Many experts, including the report author, say such research is speculative as tech firms do not disclose enough data for an accurate prediction to be made."

"While 77% of shoppers in a recent study by Opinion Lab said in-store tracking is unacceptable, 61% also responded that they expect to be compensated with cost-saving discounts if they're tracked. How stores sell in-store tracking to shoppers and highlight its benefits is where one of the next major battles of retail will be fought, Kilcourse says. "

"Imagine a world where an authoritarian government monitors everything you do, amasses huge amounts of data on almost every interaction you make, and awards you a single score that measures how "trustworthy" you are."

"There are three big challenges in the Internet space that all countries must face in the near future. China's approach to the challenges will impact not only Chinese Internet users, but potentially all Internet users. What interface follows the smart hone, whether it be AR-enabled glasses, foldable screens, or wearable projectors, will not only be influenced by China's substantial Internet-using population, but also by their manufacturing. Privacy, as it relates to online information collecting and sale, has consequences for broader community standards, and there is no one-size fits all approach to this issue. China must engage their own ethicists, community, government and technologists to develop a solution that works for China. Finally, globalization. Most of China's internet success has been within China, but as China begins to consider how it might attract users from outside its borders, it will need to consider dialing back the protections that have held foreign Internet companies at bay."

"Twitter claims a 90 percent accuracy rate for the clever techniques it uses to learn the gender of any given user. Glenn Fleishman reports on a the company's disconcerting new analytics tools, the research behind them, and how large a pinch of salt they come with."