technology:search engine

  • Google’s Secret China Project “Effectively Ended” After Internal Confrontation
    https://theintercept.com/2018/12/17/google-china-censored-search-engine-2

    Google has been forced to shut down a data analysis system it was using to develop a censored search engine for China after members of the company’s privacy team raised internal complaints that it had been kept secret from them, The Intercept has learned. The internal rift over the system has had massive ramifications, effectively ending work on the censored search engine, known as Dragonfly, according to two sources familiar with the plans. The incident represents a major blow to top (...)

    #Google #GoogleSearch #algorithme #Dragonfly #censure #surveillance #web

  • Google CEO Hammered by Members of Congress on China Censorship Plan
    https://theintercept.com/2018/12/11/google-congressional-hearing

    Google CEO Sundar Pichai came under fire from lawmakers on Tuesday over the company’s secretive plan to launch a censored search engine in China. During a hearing held by the House Judiciary Committee, Pichai faced sustained questions over the China plan, known as Dragonfly, which would blacklist broad categories of information about democracy, human rights, and peaceful protest. The hearing began with an opening statement from Rep. Kevin McCarthy, R-Calif., who said launching a censored (...)

    #Google #GoogleSearch #algorithme #Dragonfly #censure #surveillance #web

  • After a Year of Tech Scandals, Our 10 Recommendations for AI
    https://medium.com/@AINowInstitute/after-a-year-of-tech-scandals-our-10-recommendations-for-ai-95b3b2c5e5

    Let’s begin with better regulation, protecting workers, and applying “truth in advertising” rules to AI Today the AI Now Institute publishes our third annual report on the state of AI in 2018, including 10 recommendations for governments, researchers, and industry practitioners. It has been a dramatic year in AI. From Facebook potentially inciting ethnic cleansing in Myanmar, to Cambridge Analytica seeking to manipulate elections, to Google building a secret censored search engine for the (...)

    #CambridgeAnalytica #Google #ICE #Microsoft #Amazon #Facebook #algorithme #CCTV #travail #biométrie #facial #surveillance #vidéo-surveillance (...)

    ##marketing

  • I Quit Google Over Its Censored Chinese Search Engine. The Company Needs to Clarify Its Position on Human Rights.
    https://theintercept.com/2018/12/01/google-china-censorship-human-rights

    John Hennessy, the chair of Google’s parent company, Alphabet Inc., was recently asked whether Google providing a search engine in China that censored results would provide a net benefit for Chinese users. “I don’t know the answer to that. I think it’s — I think it’s a legitimate question,” he responded. “Anybody who does business in China compromises some of their core values. Every single company, because the laws in China are quite a bit different than they are in our own country.” Hennessy’s (...)

    #Alphabet #Google #GoogleSearch #algorithme #Dragonfly #censure #filtrage #web (...)

    ##surveillance

  • Google Shut Out Privacy and Security Teams From Secret China Project
    https://theintercept.com/2018/11/29/google-china-censored-search

    The secrecy surrounding the work was unheard of at Google. It was not unusual for planned new products to be closely guarded ahead of launch. But this time was different. The objective, code-named Dragonfly, was to build a search engine for China that would censor broad categories of information about human rights, democracy, and peaceful protest. In February 2017, during one of the first group meetings about Dragonfly at Google’s Mountain View headquarters in California, some of those (...)

    #Google #GoogleSearch #algorithme #Dragonfly #censure #filtrage #web #surveillance

  • Hundreds of Google Employees Tell Bosses to Cancel Censored Search Amid Worldwide Protests
    https://theintercept.com/2018/11/27/hundreds-of-google-employees-tell-bosses-to-cancel-censored-search-ami

    More than 240 Google employees have signed an open letter calling on the company to abandon its plan for a censored search engine in China, as protesters took to the streets in eight cities to condemn the secretive project. The letter was published Tuesday morning, signed by a group of 11 Google engineers, managers, and researchers. By early evening, a further 230 employees had added their names to the letter in an extraordinary public display of anger and frustration with Google’s (...)

    #Google #GoogleSearch #Dragonfly #censure #surveillance #web

  • Cheap Words | The New Yorker
    https://www.newyorker.com/magazine/2014/02/17/cheap-words

    Amazon is a global superstore, like Walmart. It’s also a hardware manufacturer, like Apple, and a utility, like Con Edison, and a video distributor, like Netflix, and a book publisher, like Random House, and a production studio, like Paramount, and a literary magazine, like The Paris Review, and a grocery deliverer, like FreshDirect, and someday it might be a package service, like U.P.S. Its founder and chief executive, Jeff Bezos, also owns a major newspaper, the Washington Post. All these streams and tributaries make Amazon something radically new in the history of American business.

    Recently, Amazon even started creating its own “content”—publishing books. The results have been decidedly mixed. A monopoly is dangerous because it concentrates so much economic power, but in the book business the prospect of a single owner of both the means of production and the modes of distribution is especially worrisome: it would give Amazon more control over the exchange of ideas than any company in U.S. history. Even in the iPhone age, books remain central to American intellectual life, and perhaps to democracy. And so the big question is not just whether Amazon is bad for the book industry; it’s whether Amazon is bad for books.

    According to Marcus, Amazon executives considered publishing people “antediluvian losers with rotary phones and inventory systems designed in 1968 and warehouses full of crap.” Publishers kept no data on customers, making their bets on books a matter of instinct rather than metrics. They were full of inefficiences, starting with overpriced Manhattan offices. There was “a general feeling that the New York publishing business was just this cloistered, Gilded Age antique just barely getting by in a sort of Colonial Williamsburg of commerce, but when Amazon waded into this they would show publishing how it was done.”

    During the 1999 holiday season, Amazon tried publishing books, leasing the rights to a defunct imprint called Weathervane and putting out a few titles. “These were not incipient best-sellers,” Marcus writes. “They were creatures from the black lagoon of the remainder table”—Christmas recipes and the like, selected with no apparent thought. Employees with publishing experience, like Fried, were not consulted. Weathervane fell into an oblivion so complete that there’s no trace of it on the Internet. (Representatives at the company today claim never to have heard of it.) Nobody at Amazon seemed to absorb any lessons from the failure. A decade later, the company would try again.

    Around this time, a group called the “personalization team,” or P13N, started to replace editorial suggestions for readers with algorithms that used customers’ history to make recommendations for future purchases. At Amazon, “personalization” meant data analytics and statistical probability. Author interviews became less frequent, and in-house essays were subsumed by customer reviews, which cost the company nothing. Tim Appelo, the entertainment editor at the time, said, “You could be the Platonic ideal of the reviewer, and you would not beat even those rather crude early algorithms.” Amazon’s departments competed with one another almost as fiercely as they did with other companies. According to Brad Stone, a trash-talking sign was hung on a wall in the P13N office: “people forget that john henry died in the end.” Machines defeated human beings.

    In December, 1999, at the height of the dot-com mania, Time named Bezos its Person of the Year. “Amazon isn’t about technology or even commerce,” the breathless cover article announced. “Amazon is, like every other site on the Web, a content play.” Yet this was the moment, Marcus said, when “content” people were “on the way out.” Although the writers and the editors made the site more interesting, and easier to navigate, they didn’t bring more customers.

    The fact that Amazon once devoted significant space on its site to editorial judgments—to thinking and writing—would be an obscure footnote if not for certain turns in the company’s more recent history. According to one insider, around 2008—when the company was selling far more than books, and was making twenty billion dollars a year in revenue, more than the combined sales of all other American bookstores—Amazon began thinking of content as central to its business. Authors started to be considered among the company’s most important customers. By then, Amazon had lost much of the market in selling music and videos to Apple and Netflix, and its relations with publishers were deteriorating. These difficulties offended Bezos’s ideal of “seamless” commerce. “The company despises friction in the marketplace,” the Amazon insider said. “It’s easier for us to sell books and make books happen if we do it our way and not deal with others. It’s a tech-industry thing: ‘We think we can do it better.’ ” If you could control the content, you controlled everything.

    Many publishers had come to regard Amazon as a heavy in khakis and oxford shirts. In its drive for profitability, Amazon did not raise retail prices; it simply squeezed its suppliers harder, much as Walmart had done with manufacturers. Amazon demanded ever-larger co-op fees and better shipping terms; publishers knew that they would stop being favored by the site’s recommendation algorithms if they didn’t comply. Eventually, they all did. (Few customers realize that the results generated by Amazon’s search engine are partly determined by promotional fees.)

    In late 2007, at a press conference in New York, Bezos unveiled the Kindle, a simple, lightweight device that—in a crucial improvement over previous e-readers—could store as many as two hundred books, downloaded from Amazon’s 3G network. Bezos announced that the price of best-sellers and new titles would be nine-ninety-nine, regardless of length or quality—a figure that Bezos, inspired by Apple’s sale of songs on iTunes for ninety-nine cents, basically pulled out of thin air. Amazon had carefully concealed the number from publishers. “We didn’t want to let that cat out of the bag,” Steele said.

    The price was below wholesale in some cases, and so low that it represented a serious threat to the market in twenty-six-dollar hardcovers. Bookstores that depended on hardcover sales—from Barnes & Noble and Borders (which liquidated its business in 2011) to Rainy Day Books in Kansas City—glimpsed their possible doom. If reading went entirely digital, what purpose would they serve? The next year, 2008, which brought the financial crisis, was disastrous for bookstores and publishers alike, with widespread layoffs.

    By 2010, Amazon controlled ninety per cent of the market in digital books—a dominance that almost no company, in any industry, could claim. Its prohibitively low prices warded off competition.

    Publishers looked around for a competitor to Amazon, and they found one in Apple, which was getting ready to introduce the iPad, and the iBooks Store. Apple wanted a deal with each of the Big Six houses (Hachette, HarperCollins, Macmillan, Penguin, Random House, and Simon & Schuster) that would allow the publishers to set the retail price of titles on iBooks, with Apple taking a thirty-per-cent commission on each sale. This was known as the “agency model,” and, in some ways, it offered the publishers a worse deal than selling wholesale to Amazon. But it gave publishers control over pricing and a way to challenge Amazon’s grip on the market. Apple’s terms included the provision that it could match the price of any rival, which induced the publishers to impose the agency model on all digital retailers, including Amazon.

    Five of the Big Six went along with Apple. (Random House was the holdout.) Most of the executives let Amazon know of the change by phone or e-mail, but John Sargent flew out to Seattle to meet with four Amazon executives, including Russ Grandinetti, the vice-president of Kindle content. In an e-mail to a friend, Sargent wrote, “Am on my way out to Seattle to get my ass kicked by Amazon.”

    Sargent’s gesture didn’t seem to matter much to the Amazon executives, who were used to imposing their own terms. Seated at a table in a small conference room, Sargent said that Macmillan wanted to switch to the agency model for e-books, and that if Amazon refused Macmillan would withhold digital editions until seven months after print publication. The discussion was angry and brief. After twenty minutes, Grandinetti escorted Sargent out of the building. The next day, Amazon removed the buy buttons from Macmillan’s print and digital titles on its site, only to restore them a week later, under heavy criticism. Amazon unwillingly accepted the agency model, and within a couple of months e-books were selling for as much as fourteen dollars and ninety-nine cents.

    Amazon filed a complaint with the Federal Trade Commission. In April, 2012, the Justice Department sued Apple and the five publishers for conspiring to raise prices and restrain competition. Eventually, all the publishers settled with the government. (Macmillan was the last, after Sargent learned that potential damages could far exceed the equity value of the company.) Macmillan was obliged to pay twenty million dollars, and Penguin seventy-five million—enormous sums in a business that has always struggled to maintain respectable profit margins.

    Apple fought the charges, and the case went to trial last June. Grandinetti, Sargent, and others testified in the federal courthouse in lower Manhattan. As proof of collusion, the government presented evidence of e-mails, phone calls, and dinners among the Big Six publishers during their negotiations with Apple. Sargent and other executives acknowledged that they wanted higher prices for e-books, but they argued that the evidence showed them only to be competitors in an incestuous business, not conspirators. On July 10th, Judge Denise Cote ruled in the government’s favor.

    Apple, facing up to eight hundred and forty million dollars in damages, has appealed. As Apple and the publishers see it, the ruling ignored the context of the case: when the key events occurred, Amazon effectively had a monopoly in digital books and was selling them so cheaply that it resembled predatory pricing—a barrier to entry for potential competitors. Since then, Amazon’s share of the e-book market has dropped, levelling off at about sixty-five per cent, with the rest going largely to Apple and to Barnes & Noble, which sells the Nook e-reader. In other words, before the feds stepped in, the agency model introduced competition to the market. But the court’s decision reflected a trend in legal thinking among liberals and conservatives alike, going back to the seventies, that looks at antitrust cases from the perspective of consumers, not producers: what matters is lowering prices, even if that goal comes at the expense of competition.

    With Amazon’s patented 1-Click shopping, which already knows your address and credit-card information, there’s just you and the buy button; transactions are as quick and thoughtless as scratching an itch. “It’s sort of a masturbatory culture,” the marketing executive said. If you pay seventy-nine dollars annually to become an Amazon Prime member, a box with the Amazon smile appears at your door two days after you click, with free shipping. Amazon’s next frontier is same-day delivery: first in certain American cities, then throughout the U.S., then the world. In December, the company patented “anticipatory shipping,” which will use your shopping data to put items that you don’t yet know you want to buy, but will soon enough, on a truck or in a warehouse near you.

    Amazon employs or subcontracts tens of thousands of warehouse workers, with seasonal variation, often building its fulfillment centers in areas with high unemployment and low wages. Accounts from inside the centers describe the work of picking, boxing, and shipping books and dog food and beard trimmers as a high-tech version of the dehumanized factory floor satirized in Chaplin’s “Modern Times.” Pickers holding computerized handsets are perpetually timed and measured as they fast-walk up to eleven miles per shift around a million-square-foot warehouse, expected to collect orders in as little as thirty-three seconds. After watching footage taken by an undercover BBC reporter, a stress expert said, “The evidence shows increased risk of mental illness and physical illness.” The company says that its warehouse jobs are “similar to jobs in many other industries.”

    When I spoke with Grandinetti, he expressed sympathy for publishers faced with upheaval. “The move to people reading digitally and buying books digitally is the single biggest change that any of us in the book business will experience in our time,” he said. “Because the change is particularly big in size, and because we happen to be a leader in making it, a lot of that fear gets projected onto us.” Bezos also argues that Amazon’s role is simply to usher in inevitable change. After giving “60 Minutes” a first glimpse of Amazon drone delivery, Bezos told Charlie Rose, “Amazon is not happening to bookselling. The future is happening to bookselling.”

    In Grandinetti’s view, the Kindle “has helped the book business make a more orderly transition to a mixed print and digital world than perhaps any other medium.” Compared with people who work in music, movies, and newspapers, he said, authors are well positioned to thrive. The old print world of scarcity—with a limited number of publishers and editors selecting which manuscripts to publish, and a limited number of bookstores selecting which titles to carry—is yielding to a world of digital abundance. Grandinetti told me that, in these new circumstances, a publisher’s job “is to build a megaphone.”

    After the Kindle came out, the company established Amazon Publishing, which is now a profitable empire of digital works: in addition to Kindle Singles, it has mystery, thriller, romance, and Christian lines; it publishes translations and reprints; it has a self-service fan-fiction platform; and it offers an extremely popular self-publishing platform. Authors become Amazon partners, earning up to seventy per cent in royalties, as opposed to the fifteen per cent that authors typically make on hardcovers. Bezos touts the biggest successes, such as Theresa Ragan, whose self-published thrillers and romances have been downloaded hundreds of thousands of times. But one survey found that half of all self-published authors make less than five hundred dollars a year.

    Every year, Fine distributes grants of twenty-five thousand dollars, on average, to dozens of hard-up literary organizations. Beneficiaries include the pen American Center, the Loft Literary Center, in Minneapolis, and the magazine Poets & Writers. “For Amazon, it’s the cost of doing business, like criminal penalties for banks,” the arts manager said, suggesting that the money keeps potential critics quiet. Like liberal Democrats taking Wall Street campaign contributions, the nonprofits don’t advertise the grants. When the Best Translated Book Award received money from Amazon, Dennis Johnson, of Melville House, which had received the prize that year, announced that his firm would no longer compete for it. “Every translator in America wrote me saying I was a son of a bitch,” Johnson said. A few nonprofit heads privately told him, “I wanted to speak out, but I might have taken four thousand dollars from them, too.” A year later, at the Associated Writing Programs conference, Fine shook Johnson’s hand, saying, “I just wanted to thank you—that was the best publicity we could have had.” (Fine denies this.)

    By producing its own original work, Amazon can sell more devices and sign up more Prime members—a major source of revenue. While the company was building the Kindle, it started a digital store for streaming music and videos, and, around the same time it launched Amazon Publishing, it created Amazon Studios.

    The division pursued an unusual way of producing television series, using its strength in data collection. Amazon invited writers to submit scripts on its Web site—“an open platform for content creators,” as Bill Carr, the vice-president for digital music and video, put it. Five thousand scripts poured in, and Amazon chose to develop fourteen into pilots. Last spring, Amazon put the pilots on its site, where customers could review them and answer a detailed questionnaire. (“Please rate the following aspects of this show: The humor, the characters . . . ”) More than a million customers watched. Engineers also developed software, called Amazon Storyteller, which scriptwriters can use to create a “storyboard animatic”—a cartoon rendition of a script’s plot—allowing pilots to be visualized without the expense of filming. The difficulty, according to Carr, is to “get the right feedback and the right data, and, of the many, many data points that I can collect from customers, which ones can tell you, ‘This is the one’?”

    Bezos applying his “take no prisoners” pragmatism to the Post: “There are conflicts of interest with Amazon’s many contracts with the government, and he’s got so many policy issues going, like sales tax.” One ex-employee who worked closely with Bezos warned, “At Amazon, drawing a distinction between content people and business people is a foreign concept.”

    Perhaps buying the Post was meant to be a good civic deed. Bezos has a family foundation, but he has hardly involved himself in philanthropy. In 2010, Charlie Rose asked him what he thought of Bill Gates’s challenge to other billionaires to give away most of their wealth. Bezos didn’t answer. Instead, he launched into a monologue on the virtue of markets in solving social problems, and somehow ended up touting the Kindle.

    Bezos bought a newspaper for much the same reason that he has invested money in a project for commercial space travel: the intellectual challenge. With the Post, the challenge is to turn around a money-losing enterprise in a damaged industry, and perhaps to show a way for newspapers to thrive again.

    Lately, digital titles have levelled off at about thirty per cent of book sales. Whatever the temporary fluctuations in publishers’ profits, the long-term outlook is discouraging. This is partly because Americans don’t read as many books as they used to—they are too busy doing other things with their devices—but also because of the relentless downward pressure on prices that Amazon enforces. The digital market is awash with millions of barely edited titles, most of it dreck, while readers are being conditioned to think that books are worth as little as a sandwich. “Amazon has successfully fostered the idea that a book is a thing of minimal value,” Johnson said. “It’s a widget.”

    There are two ways to think about this. Amazon believes that its approach encourages ever more people to tell their stories to ever more people, and turns writers into entrepreneurs; the price per unit might be cheap, but the higher number of units sold, and the accompanying royalties, will make authors wealthier. Jane Friedman, of Open Road, is unfazed by the prospect that Amazon might destroy the old model of publishing. “They are practicing the American Dream—competition is good!” she told me. Publishers, meanwhile, “have been banks for authors. Advances have been very high.” In Friedman’s view, selling digital books at low prices will democratize reading: “What do you want as an author—to sell books to as few people as possible for as much as possible, or for as little as possible to as many readers as possible?”

    The answer seems self-evident, but there is a more skeptical view. Several editors, agents, and authors told me that the money for serious fiction and nonfiction has eroded dramatically in recent years; advances on mid-list titles—books that are expected to sell modestly but whose quality gives them a strong chance of enduring—have declined by a quarter.

    #Amazon

  • Word Counting in C++: Implementing a Simple Word Counter—Jonathan Boccara
    http://isocpp.org/feeder/?FeederAction=clicked&feed=All+Posts&seed=http%3A%2F%2Fisocpp.org%2Fblog%2F2

    Useful to learn.

    Word Counting in C++: Implementing a Simple Word Counter by Jonathan Boccara

    From the article:

    Word counts can reveal information about your code, or make an unknown piece of code more expressive to your eyes. There are online tools to count words in generic text, but most of those I’ve come across are designed around counting words in text and SEO (Search Engine Optimization). Since analysing source code is not the same thing as analysing the text of a blog post, let’s design a tool fit for our needs of counting words in code. This way, we will be able to make it evolve when we discover new tasks to try with our word counter. Another reason to write our own word counter is that it will let us practice interface design, and also STL algorithms, (...)

    #News,Articles&_Books,

  • Word Counting in C++: Implementing a Simple Word Counter
    https://www.fluentcpp.com/2018/10/12/word-counting-cpp-simple-word-counter

    Word counts can reveal information about your code, or make an unknown piece of code more expressive to your eyes. There are online tools to count words in generic text, but most of those I’ve come across are designed around counting words in text and SEO (Search Engine Optimization). Since analysing source code is not the […]

  • The Publisher’s Patron: How Google’s News Initiative Is Re-Defining Journalism |European Journalism Observatory - EJO
    https://en.ejo.ch/digital-news/the-publishers-patron

    We found that a large part of Google’s money goes to the media establishment.

    Our data helps to shine a light on what ‘innovation’ means in the world of Google. Four in ten projects funded by the DNI deal with automation and data journalism. For example, Google money helped a joint project between the Press Association, a UK news agency, and the media start-up Urbs Media with 706,000 euro to start a project on automation in local news.

    The funding Google gives to media institutions and publishers bring it such soft power. It also helps Google to safeguard its long-term interests. Increasingly, the company is shifting from being a mere search engine to becoming a central node for the production and distribution of news. Its role will soon be indispensable for the news industry.

    #DNI #google #presse #soft_power #critique

  • Former Google Scientist Tells Senate to Act Over Company’s “Unethical and Unaccountable” China Censorship Plan
    https://theintercept.com/2018/09/26/former-google-scientist-tells-senate-to-act-over-companys-unethical-an

    A scientist who quit Google over its plan to build a censored search engine in China has told U.S. senators that some company employees may have “actively subverted” an internal privacy review of the system. Jack Poulson resigned from Google in August after The Intercept reported that a group of the internet giant’s staffers was secretly working on a search engine for China that would remove content about subjects such as human rights, democracy, peaceful protest, and religion. “I view our (...)

    #Google #algorithme #Dragonfly #censure #filtrage #web #surveillance

  • Media Manipulation, Strategic Amplification, and Responsible Journalism, by danah boyd
    https://points.datasociety.net/media-manipulation-strategic-amplification-and-responsible-journ

    Media manipulators have developed a strategy with three parts that rely on how the current media ecosystem is structure:

    1. Create spectacle, using social media to get news media coverage.
    2. Frame the spectacle through phrases that drive new audiences to find your frames through search engines.
    3. Become a “digital martyr” to help radicalize others.

    (…) Using search to your advantage relies on what Michael Golebiewski at Bing calls a “data void.” When people search for a phrase that does not have natural informative results, it’s easy for manipulators to control the results.

    (...) YouTube is a disaster. First, there’s a lot less content on YouTube, which means that problematic content surfaces to the top faster. Second, YouTube isn’t simply a search engine; it’s also a recommendation engine that encourages people to view more videos and go on a journey. This is great for music discovery, but not so great when manipulators game the recommendation system to create pathways to extremist content

    (…) In addition to playing with algorithmic systems, media manipulators exploit a psychological process known as “apophenia.” By creating connections between random ideas, manipulators warp the cultural imaginary. By inviting people to see artificial patterns, they engage potential recruits to see reality in their terms.

  • Google China Prototype Links Searches to Phone Numbers
    https://theintercept.com/2018/09/14/google-china-prototype-links-searches-to-phone-numbers

    Google built a prototype of a censored search engine for China that links users’ searches to their personal phone numbers, thus making it easier for the Chinese government to monitor people’s queries, The Intercept can reveal. The search engine, codenamed Dragonfly, was designed for Android devices, and would remove content deemed sensitive by China’s ruling Communist Party regime, such as information about political dissidents, free speech, democracy, human rights, and peaceful protest. (...)

    #Google #GoogleSearch #algorithme #smartphone #écoutes #Dragonfly #censure #filtrage #web (...)

    ##surveillance

  • Decentralisation: the next big step for the world wide web
    https://www.theguardian.com/technology/2018/sep/08/decentralisation-next-big-step-for-the-world-wide-web-dweb-data-interne

    he story that broke early last month that Google would again cooperate with Chinese authorities to run a censored version of its search engine, something the tech giant has neither confirmed nor denied, had ironic timing. The same day, a group of 800 web builders and others – among them Tim Berners-Lee, who created the world wide web – were meeting in San Francisco to discuss a grand idea to circumvent internet gatekeepers like Google and Facebook. The event they had gathered for was the Decentralised Web Summit, held from 31 July to 2 August, and hosted by the Internet Archive.

    The proponents of the so-called decentralised web – or DWeb – want a new, better web where the entire planet’s population can communicate without having to rely on big companies that amass our data for profit and make it easier for governments to conduct surveillance. And its proponents have got projects and apps that are beginning to function, funding that is flowing and social momentum behind them. In light of the Snowden revelations and Cambridge Analytica scandal, public concerns around spying and privacy have grown. And more people have heard about the DWeb thanks to the television comedy Silicon Valley, whose main character recently pivoted his startup to try and build this “new internet”.

    #Internet #GAFA #DWeb #réinventer_l'Internet

  • What worries me about AI – François Chollet – Medium
    https://medium.com/@francois.chollet/what-worries-me-about-ai-ed9df072b704

    This data, in theory, allows the entities that collect it to build extremely accurate psychological profiles of both individuals and groups. Your opinions and behavior can be cross-correlated with that of thousands of similar people, achieving an uncanny understanding of what makes you tick — probably more predictive than what yourself could achieve through mere introspection (for instance, Facebook “likes” enable algorithms to better assess your personality that your own friends could). This data makes it possible to predict a few days in advance when you will start a new relationship (and with whom), and when you will end your current one. Or who is at risk of suicide. Or which side you will ultimately vote for in an election, even while you’re still feeling undecided. And it’s not just individual-level profiling power — large groups can be even more predictable, as aggregating data points erases randomness and individual outliers.
    Digital information consumption as a psychological control vector

    Passive data collection is not where it ends. Increasingly, social network services are in control of what information we consume. What see in our newsfeeds has become algorithmically “curated”. Opaque social media algorithms get to decide, to an ever-increasing extent, which political articles we read, which movie trailers we see, who we keep in touch with, whose feedback we receive on the opinions we express.

    In short, social network companies can simultaneously measure everything about us, and control the information we consume. And that’s an accelerating trend. When you have access to both perception and action, you’re looking at an AI problem. You can start establishing an optimization loop for human behavior, in which you observe the current state of your targets and keep tuning what information you feed them, until you start observing the opinions and behaviors you wanted to see. A large subset of the field of AI — in particular “reinforcement learning” — is about developing algorithms to solve such optimization problems as efficiently as possible, to close the loop and achieve full control of the target at hand — in this case, us. By moving our lives to the digital realm, we become vulnerable to that which rules it — AI algorithms.

    From an information security perspective, you would call these vulnerabilities: known exploits that can be used to take over a system. In the case of the human minds, these vulnerabilities never get patched, they are just the way we work. They’re in our DNA. The human mind is a static, vulnerable system that will come increasingly under attack from ever-smarter AI algorithms that will simultaneously have a complete view of everything we do and believe, and complete control of the information we consume.

    The issue is not AI itself. The issue is control.

    Instead of letting newsfeed algorithms manipulate the user to achieve opaque goals, such as swaying their political opinions, or maximally wasting their time, we should put the user in charge of the goals that the algorithms optimize for. We are talking, after all, about your news, your worldview, your friends, your life — the impact that technology has on you should naturally be placed under your own control. Information management algorithms should not be a mysterious force inflicted on us to serve ends that run opposite to our own interests; instead, they should be a tool in our hand. A tool that we can use for our own purposes, say, for education and personal instead of entertainment.

    Here’s an idea — any algorithmic newsfeed with significant adoption should:

    Transparently convey what objectives the feed algorithm is currently optimizing for, and how these objectives are affecting your information diet.
    Give you intuitive tools to set these goals yourself. For instance, it should be possible for you to configure your newsfeed to maximize learning and personal growth — in specific directions.
    Feature an always-visible measure of how much time you are spending on the feed.
    Feature tools to stay control of how much time you’re spending on the feed — such as a daily time target, past which the algorithm will seek to get you off the feed.

    Augmenting ourselves with AI while retaining control

    We should build AI to serve humans, not to manipulate them for profit or political gain.

    You may be thinking, since a search engine is still an AI layer between us and the information we consume, could it bias its results to attempt to manipulate us? Yes, that risk is latent in every information-management algorithm. But in stark contrast with social networks, market incentives in this case are actually aligned with users needs, pushing search engines to be as relevant and objective as possible. If they fail to be maximally useful, there’s essentially no friction for users to move to a competing product. And importantly, a search engine would have a considerably smaller psychological attack surface than a social newsfeed. The threat we’ve profiled in this post requires most of the following to be present in a product:

    Both perception and action: not only should the product be in control of the information it shows you (news and social updates), it should also be able to “perceive” your current mental states via “likes”, chat messages, and status updates. Without both perception and action, no reinforcement learning loop can be established. A read-only feed would only be dangerous as a potential avenue for classical propaganda.
    Centrality to our lives: the product should be a major source of information for at least a subset of its users, and typical users should be spending several hours per day on it. A feed that is auxiliary and specialized (such as Amazon’s product recommendations) would not be a serious threat.
    A social component, enabling a far broader and more effective array of psychological control vectors (in particular social reinforcement). An impersonal newsfeed has only a fraction of the leverage over our minds.
    Business incentives set towards manipulating users and making users spend more time on the product.

    Most AI-driven information-management products don’t meet these requirements. Social networks, on the other hand, are a frightening combination of risk factors.

    #Intelligence_artificielle #Manipulation #Médias_sociaux

    • This is made all the easier by the fact that the human mind is highly vulnerable to simple patterns of social manipulation. Consider, for instance, the following vectors of attack:

      Identity reinforcement: this is an old trick that has been leveraged since the first very ads in history, and still works just as well as it did the first time, consisting of associating a given view with markers that you identify with (or wish you did), thus making you automatically siding with the target view. In the context of AI-optimized social media consumption, a control algorithm could make sure that you only see content (whether news stories or posts from your friends) where the views it wants you to hold co-occur with your own identity markers, and inversely for views the algorithm wants you to move away from.
      Negative social reinforcement: if you make a post expressing a view that the control algorithm doesn’t want you to hold, the system can choose to only show your post to people who hold the opposite view (maybe acquaintances, maybe strangers, maybe bots), and who will harshly criticize it. Repeated many times, such social backlash is likely to make you move away from your initial views.
      Positive social reinforcement: if you make a post expressing a view that the control algorithm wants to spread, it can choose to only show it to people who will “like” it (it could even be bots). This will reinforce your belief and put you under the impression that you are part of a supportive majority.
      Sampling bias: the algorithm may also be more likely to show you posts from your friends (or the media at large) that support the views it wants you to hold. Placed in such an information bubble, you will be under the impression that these views have much broader support than they do in reality.
      Argument personalization: the algorithm may observe that exposure to certain pieces of content, among people with a psychological profile close to yours, has resulted in the sort of view shift it seeks. It may then serve you with content that is expected to be maximally effective for someone with your particular views and life experience. In the long run, the algorithm may even be able to generate such maximally-effective content from scratch, specifically for you.

      From an information security perspective, you would call these vulnerabilities: known exploits that can be used to take over a system. In the case of the human minds, these vulnerabilities never get patched, they are just the way we work. They’re in our DNA. The human mind is a static, vulnerable system that will come increasingly under attack from ever-smarter AI algorithms that will simultaneously have a complete view of everything we do and believe, and complete control of the information we consume.

  • Google’s Dragonfly : A Bellwether for Human Rights in the Digital Age
    https://www.justsecurity.org/59941/googles-dragonfly-bellwether-human-rights-digital-age

    Both of us vividly recall the remarkable events of 2010, when Google took its stand against Chinese government censorship by publicly declaring it would withdraw its search engine services from China. One of us was providing informal feedback to senior Google executives in the weeks leading up to the decision ; the other was working at Human Rights in China, a civil society member of the Global Network Initiative (GNI), of which Google was a founding member. The decision to withdraw from (...)

    #Google #GoogleSearch #algorithme #Dragonfly #censure #web #surveillance #TheGreatFirewallofChina

  • Google, Seeking a Return to China, Is Said to Be Building a Censored Search Engine
    https://www.nytimes.com/2018/08/01/technology/china-google-censored-search-engine.html

    Google withdrew from China eight years ago to protest the country’s censorship and online hacking. Now, the internet giant is working on a censored search engine for China that will filter websites and search terms that are blacklisted by the Chinese government, according to two people with knowledge of the plans. Google has teams of engineers working on a search app that restricts content banned by Beijing, said the people, who asked for anonymity because they were not permitted to speak (...)

    #Google #Facebook #GoogleSearch #algorithme #Dragonfly #censure #StateControl #web (...)

    ##surveillance

  • World’s Leading Human Rights Groups Tell Google to Cancel Its China Censorship Plan
    https://theintercept.com/2018/08/28/google-china-censorship-plan-human-rights

    Leading human rights groups are calling on Google to cancel its plan to launch a censored version of its search engine in China, which they said would violate the freedom of expression and privacy rights of millions of internet users in the country. A coalition of 14 organizations — including Amnesty International, Human Rights Watch, Reporters Without Borders, Access Now, the Committee to Protect Journalists, the Electronic Frontier Foundation, the Center for Democracy and Technology, PEN (...)

    #Google #GoogleSearch #algorithme #Dragonfly #censure #StateControl #voisinage #surveillance #web #TheGreatFirewallofChina #RSF #AccessNow #CDT (...)

    ##EFF

  • Google Employees Protest Secret Work on Censored Search Engine for China - The New York Times
    https://www.nytimes.com/2018/08/16/technology/google-employees-protest-search-censored-china.html

    Hundreds of #Google employees, upset at the company’s decision to secretly build a censored version of its search engine for China, have signed a letter demanding more transparency to understand the ethical consequences of their work.

    In the letter, which was obtained by The New York Times, employees wrote that the project and Google’s apparent willingness to abide by China’s censorship requirements “raise urgent moral and ethical issues.” They added, “Currently we do not have the information required to make ethically-informed decisions about our work, our projects, and our employment.”

    The letter is circulating on Google’s internal communication systems and is signed by about 1,400 employees, according to three people familiar with the document, who were not authorized to speak publicly.

    The internal activism presents another obstacle for Google’s potential return to China eight years after the company publicly withdrew from the country in protest of censorship and government hacking. China has the world’s largest internet audience but has frustrated American tech giants with content restrictions or outright blockages of services including Facebook and Instagram.

    #GAFA

  • Google Employees Protest Secret Work on Censored Search Engine for China
    https://www.nytimes.com/2018/08/16/technology/google-employees-protest-search-censored-china.html

    Hundreds of Google employees, upset at the company’s decision to secretly build a censored version of its search engine for China, have signed a letter demanding more transparency to understand the ethical consequences of their work. In the letter, which was obtained by The New York Times, employees wrote that the project and Google’s apparent willingness to abide by China’s censorship requirements “raise urgent moral and ethical issues.” They added, “Currently we do not have the information (...)

    #Google #Dragonfly #censure #TheGreatFirewallofChina

  • Google Staff Tell Bosses China Censorship is “Moral and Ethical” Crisis
    https://theintercept.com/2018/08/16/google-china-crisis-staff-dragonfly

    Google employees are demanding answers from the company’s leadership amid growing internal protests over plans to launch a censored search engine in China. Staff inside the internet giant’s offices have agreed that the censorship project raises “urgent moral and ethical issues” and have circulated a letter saying so, calling on bosses to disclose more about the company’s work in China, which they say is shrouded in too much secrecy, according to three sources with knowledge of the matter. The (...)

    #Google #Dragonfly #censure #surveillance #web

  • Google Censorship Plan Is “Not Right” and “Stupid,” Says Former Google Head of Free Expression
    https://theintercept.com/2018/08/10/google-censorship-plan-is-not-right-and-stupid-says-former-google-head

    Google’s former head of free expression issues in Asia has slammed the internet’s giant’s plan to launch a censored search engine in China, calling it a “stupid move” that would violate widely–held human rights principles. As The Intercept first reported last week, Google has been quietly developing a search platform for China that would remove content that China’s authoritarian government views as sensitive, such as information about political opponents, free speech, democracy, human rights, and (...)

    #Google #GoogleSearch #algorithme #censure #TheGreatFirewallofChina #AccessNow #Amnesty #HumanRightsWatch #RSF (...)

    ##HumanRightsinChina_

  • Google Plans to Launch Censored Search Engine in China, Leaked Documents Reveal
    https://theintercept.com/2018/08/01/google-china-search-engine-censorship

    Google is planning to launch a censored version of its search engine in China that will blacklist websites and search terms about human rights, democracy, religion, and peaceful protest, The Intercept can reveal. The project – code-named Dragonfly – has been underway since spring of last year, and accelerated following a December 2017 meeting between Google’s CEO Sundar Pichai and a top Chinese government official, according to internal Google documents and people familiar with the plans. (...)

    #Google #GoogleSearch #algorithme #Dragonfly #censure #web #surveillance

  • crFRST.io — Crypto trading platform
    https://hackernoon.com/frst-io-crypto-trading-platform-55189a2417ab?source=rss----3a8144eabfe3-

    FRST.io visualizationI got the chance to interview Karl Muth, CEO of FRST.io. They make enterprise grade, trading-desk-ready crypto software. Using their software, a trader can track large and subtle movements of crypto into various wallets and exchanges to get insight into which way the markets are moving. You can also tune your algorithms with their expansive data sets, which include annotated information back to block 1.Karl holds J.D. and M.B.A. degrees, the latter with a concentration in economics from the University of Chicago, as well an M.Phil. and Ph.D. degrees from the London School of Economics. The founders of FRST brought him in as CEO earlier this year; prior to this, he was CEO of Chicago-based search engine startup Haystack, whose technology helps users find content on (...)

    #bitcoin #crypto-trading #crypto-trading-startup #crypto-trading-platform #cryptocurrency

  • How Mobile App Development Brings Disruptive Changes in Digital Marketing
    https://hackernoon.com/how-mobile-app-development-brings-disruptive-changes-in-digital-marketin

    Mobile has brought drastic changes in the consumer’s shopping and searching behavior. As reported by the search engine giant Google, around 82 percent of smartphone users consult their phones before purchasing anything in a store. The steady rise in the number of mobile phone users also indicates our growing dependence on the mobile platform.Globally, marketers have taken cognizance of this paradigm shift from desktop and laptops to smartphones and started building digital marketing strategies by keeping mobile devices in the center. Many experts consider incorporation of mobile app development in marketing strategies as one of the most important steps of modern digital marketing campaigns. Irrespective of industry sectors and business model, customized mobile apps are becoming an (...)

    #app-development-services #mobile-app-developers #mobile-app-development #app-development-company #top-mobile-app-developers