mfioretti: control* + privacy*

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  1. Some entries are ambiguous. Take Microsoft, under the “operational services” category. PayPal apparently supplies the tech company with an image of a customer–a photo or video–or their image from an identity document for the purposes of “facial image comparison for fraud protection” and “research and testing as to appropriateness of new products.” The former sounds like some kind of facial recognition system that PayPal uses to look for fraud. But the latter is uneasily broad. What kind of research is Microsoft doing using pictures of PayPal users’ faces? PayPal did not comment on this specific question.
    https://www.fastcodesign.com/90157501...ource=twitter.com&utm_campaign=buffer
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  2. "Continueremo a lavorare con le autorità francesi per garantire che gli utenti comprendano quali informazioni vengono raccolte e come vengono utilizzate", ha affermato WhatsApp in una dichiarazione inviata per posta elettronica. "Ci impegniamo a risolvere le diverse e talvolta contraddittorie preoccupazioni che hanno sollevato le autorità per la protezione dei dati, con un approccio comune a livello europeo prima che nuove norme sulla protezione dei dati a livello di blocco entrino in vigore nel maggio 2018".

    I trasferimenti di dati da WhatsApp a Facebook avvengono in parte senza il consenso dell'utente, ha ribadito l'ente francese che ha anche respinto le argomentazioni di WhatsApp secondo le quali l'azienda sarebbe soggetta solo alla legge degli Stati Uniti. Il monito francese, è "un avviso formale, non una sanzione", ma il colosso dei messaggi rischierebbe di incorrere in multe in una fase successiva.
    http://www.repubblica.it/tecnologia/2...ncia_il_garante_fb_whatsapp-184580045
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  3. Most of Facebook’s uncanny guesswork is the result of a healthy percentage of users simply handing over their address books.

    But that doesn’t mean Facebook hasn’t thought about employing users’ metadata more strategically to make connections between them. Patents filed by Facebook that mention People You May Know show some ingenious methods that Facebook has devised for figuring out that seeming strangers on the network might know each other. One filed in 2015 describes a technique that would connect two people through the camera metadata associated with the photos they uploaded. It might assume two people knew each other if the images they uploaded looked like they were titled in the same series of photos—IMG_4605739.jpg and IMG_4605742, for example—or if lens scratches or dust were detectable in the same spots on the photos, revealing the photos were taken by the same camera.

    It would result in all the people you’ve sent photos to, who then uploaded them to Facebook, showing up in one another’s “People You May Know.” It’d be a great way to meet the other people who hired your wedding photographer.
    https://gizmodo.com/facebook-knows-ho...you-using-the-dust-on-your-1821030620
    Tags: , , , by M. Fioretti (2018-01-13)
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  4. Facebook’s goal is to “push down the age” of when it’s acceptable for kids to be on social media, says Josh Golin, executive director of Campaign for a Commercial Free Childhood. Golin says 11-to-12-year-olds who already have a Facebook account, probably because they lied about their age, might find the animated emojis and GIFs of Messenger Kids “too babyish,” and are unlikely to convert to the new app.

    Facebook launched Messenger Kids for 6-to-12-year olds in the US Monday, saying it took extraordinary care and precautions. The company said its 100-person team building apps for teens and kids consulted with parent groups, advocates, and childhood-development experts during the 18-month development process and the app reflects their concerns. Parents download Messenger Kids on their child’s account, after verifying their identity by logging into Facebook. Since kids cannot be found in search, parents must initiate and respond to friend requests.

    Facebook says Messenger Kids will not display ads, nor collect data on kids for advertising purposes. Kids’ accounts will not automatically be rolled into Facebook accounts once they turn 13.

    Nonetheless, advocates focused on marketing to children expressed concerns. The company will collect the content of children’s messages, photos they send, what features they use on the app, and information about the device they use. Facebook says it will use this information to improve the app and will share the information “within the family of companies that are part of Facebook,” and outside companies that provide customer support, analysis, and technical infrastructure.
    https://www.wired.com/story/facebook-...o-messenger-kids/?mbid=social_twitter
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  5. Speaking as a statistician, it is quite easy to identify people in anonymous datasets. There are only so many 5'4" jews living in San Francisco with chronic back pain. Every bit of information we reveal about ourselves will be one more disease that we can track, and another life saved.

    If I want to know whether I will suffer a heart attack, I will have to release my data for public research. In the end, privacy will be an early death sentence.

    Already, health insurers are beginning to offer discounts for people who wear health trackers and let others analyze their personal movements. Many, if not most, consumers in the next generation will choose cash and a longer life in exchange for publicizing their most intimate details.

    What can we tell with basic health information, such as calories burned throughout the day? Pretty much everything.

    With a rudimentary step and calorie counter, I was able to distinguish whether I was having sex or at the gym, since the minute-by-minute calorie burn profile of sex is quite distinct (the image below from my health tracker shows lots of energy expended at the beginning and end, with few steps taken. Few activities besides sex have this distinct shape)
    https://medium.com/the-ferenstein-wir...rs-of-history-in-50-images-614c26059e
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  6. The point is that Facebook has a strong, paternalistic view on what’s best for you, and it’s trying to transport you there. “To get people to this point where there’s more openness – that’s a big challenge. But I think we’ll do it,” Zuckerberg has said. He has reason to believe that he will achieve that goal. With its size, Facebook has amassed outsized powers. “In a lot of ways Facebook is more like a government than a traditional company,” Zuckerberg has said. “We have this large community of people, and more than other technology companies we’re really setting policies.”

    Without knowing it, Zuckerberg is the heir to a long political tradition. Over the last 200 years, the west has been unable to shake an abiding fantasy, a dream sequence in which we throw out the bum politicians and replace them with engineers – rule by slide rule. The French were the first to entertain this notion in the bloody, world-churning aftermath of their revolution. A coterie of the country’s most influential philosophers (notably, Henri de Saint-Simon and Auguste Comte) were genuinely torn about the course of the country. They hated all the old ancient bastions of parasitic power – the feudal lords, the priests and the warriors – but they also feared the chaos of the mob. To split the difference, they proposed a form of technocracy – engineers and assorted technicians would rule with beneficent disinterestedness. Engineers would strip the old order of its power, while governing in the spirit of science. They would impose rationality and order.
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    This dream has captivated intellectuals ever since, especially Americans. The great sociologist Thorstein Veblen was obsessed with installing engineers in power and, in 1921, wrote a book making his case. His vision briefly became a reality. In the aftermath of the first world war, American elites were aghast at all the irrational impulses unleashed by that conflict – the xenophobia, the racism, the urge to lynch and riot. And when the realities of economic life had grown so complicated, how could politicians possibly manage them? Americans of all persuasions began yearning for the salvific ascendance of the most famous engineer of his time: Herbert Hoover. In 1920, Franklin D Roosevelt – who would, of course, go on to replace him in 1932 – organised a movement to draft Hoover for the presidency.

    The Hoover experiment, in the end, hardly realised the happy fantasies about the Engineer King. A very different version of this dream, however, has come to fruition, in the form of the CEOs of the big tech companies. We’re not ruled by engineers, not yet, but they have become the dominant force in American life – the highest, most influential tier of our elite.

    There’s another way to describe this historical progression. Automation has come in waves. During the industrial revolution, machinery replaced manual workers. At first, machines required human operators. Over time, machines came to function with hardly any human intervention. For centuries, engineers automated physical labour; our new engineering elite has automated thought. They have perfected technologies that take over intellectual processes, that render the brain redundant. Or, as the former Google and Yahoo executive Marissa Mayer once argued, “You have to make words less human and more a piece of the machine.” Indeed, we have begun to outsource our intellectual work to companies that suggest what we should learn, the topics we should consider, and the items we ought to buy. These companies can justify their incursions into our lives with the very arguments that Saint-Simon and Comte articulated: they are supplying us with efficiency; they are imposing order on human life.

    Nobody better articulates the modern faith in engineering’s power to transform society than Zuckerberg. He told a group of software developers, “You know, I’m an engineer, and I think a key part of the engineering mindset is this hope and this belief that you can take any system that’s out there and make it much, much better than it is today. Anything, whether it’s hardware or software, a company, a developer ecosystem – you can take anything and make it much, much better.” The world will improve, if only Zuckerberg’s reason can prevail – and it will.

    The precise source of Facebook’s power is algorithms. That’s a concept repeated dutifully in nearly every story about the tech giants, yet it remains fuzzy at best to users of those sites. From the moment of the algorithm’s invention, it was possible to see its power, its revolutionary potential. The algorithm was developed in order to automate thinking, to remove difficult decisions from the hands of humans, to settle contentious debates.
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    The essence of the algorithm is entirely uncomplicated. The textbooks compare them to recipes – a series of precise steps that can be followed mindlessly. This is different from equations, which have one correct result. Algorithms merely capture the process for solving a problem and say nothing about where those steps ultimately lead.

    These recipes are the crucial building blocks of software. Programmers can’t simply order a computer to, say, search the internet. They must give the computer a set of specific instructions for accomplishing that task. These instructions must take the messy human activity of looking for information and transpose that into an orderly process that can be expressed in code. First do this … then do that. The process of translation, from concept to procedure to code, is inherently reductive. Complex processes must be subdivided into a series of binary choices. There’s no equation to suggest a dress to wear, but an algorithm could easily be written for that – it will work its way through a series of either/or questions (morning or night, winter or summer, sun or rain), with each choice pushing to the next.

    Facebook would never put it this way, but algorithms are meant to erode free will, to relieve humans of the burden of choosing, to nudge them in the right direction. Algorithms fuel a sense of omnipotence, the condescending belief that our behaviour can be altered, without our even being aware of the hand guiding us, in a superior direction. That’s always been a danger of the engineering mindset, as it moves beyond its roots in building inanimate stuff and begins to design a more perfect social world. We are the screws and rivets in the grand design.
    https://www.theguardian.com/technolog...r-on-free-will?CMP=Share_iOSApp_Other
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  7. Human judges performed much worse than the algorithm, accurately identifying orientation only 61% of the time for men and 54% for women. When the software reviewed five images per person, it was even more successful – 91% of the time with men and 83% with women. Broadly, that means “faces contain much more information about sexual orientation than can be perceived and interpreted by the human brain”, the authors wrote.
    Elon Musk says AI could lead to third world war
    Read more

    The paper suggested that the findings provide “strong support” for the theory that sexual orientation stems from exposure to certain hormones before birth, meaning people are born gay and being queer is not a choice. The machine’s lower success rate for women also could support the notion that female sexual orientation is more fluid.

    While the findings have clear limits when it comes to gender and sexuality – people of color were not included in the study, and there was no consideration of transgender or bisexual people – the implications for artificial intelligence (AI) are vast and alarming. With billions of facial images of people stored on social media sites and in government databases, the researchers suggested that public data could be used to detect people’s sexual orientation without their consent.

    It’s easy to imagine spouses using the technology on partners they suspect are closeted, or teenagers using the algorithm on themselves or their peers. More frighteningly, governments that continue to prosecute LGBT people could hypothetically use the technology to out and target populations. That means building this kind of software and publicizing it is itself controversial given concerns that it could encourage harmful applications.

    But the authors argued that the technology already exists, and its capabilities are important to expose so that governments and companies can proactively consider privacy risks and the need for safeguards and regulations.
    https://www.theguardian.com/technolog...m-a-photograph?CMP=Share_iOSApp_Other
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  8. Smart toys including My Friend Cayla, Hello Barbie, and CloudPets are designed to learn and grow with your kid. Cool, right? Unfortunately, many of these toys have privacy problems. As the 2015 data breach of Vtech's InnoTab Max uncovered, hackers specifically target kids because they offer clean credit histories and unused Social Security numbers that they can use for identity theft. These toys also collect a lot of information about your kid, and they aren't always clear about when they do it and how they use it.
    http://edition.cnn.com/2017/06/07/hea...2Fedition_us+%28RSS%3A+CNNi+-+U.S.%29
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  9. La relazione dell’Autorità garante per la protezione dei dati personali non fa alcun riferimento con quei toni così banali ad “allarmi”, sottolinea invece le grandi questioni in campo, anzi raccontando i risultati ottenuti lavorando sulle discipline, le garanzie, il dialogo coi player, seguendo le linee guida dei gruppi dell’Unione. Se il mainstream dev’essere sempre quello dell’allarme e dei titoli fuorvianti, inutile lamentarsi della disintermediazione e dello strapotere delle piattaforme di social media.
    http://www.webnews.it/2017/06/06/garante-privacy-relazione-annuale
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  10. "All of us, when we are uploading something, when we are tagging people, when we are commenting, we are basically working for Facebook," he says.

    The data our interactions provide feeds the complex algorithms that power the social media site, where, as Mr Joler puts it, our behaviour is transformed into a product.

    Trying to untangle that largely hidden process proved to be a mammoth task.

    "We tried to map all the inputs, the fields in which we interact with Facebook, and the outcome," he says.

    "We mapped likes, shares, search, update status, adding photos, friends, names, everything our devices are saying about us, all the permissions we are giving to Facebook via apps, such as phone status, wifi connection and the ability to record audio."

    All of this research provided only a fraction of the full picture. So the team looked into Facebook's acquisitions, and scoured its myriad patent filings.

    The results were astonishing.

    Visually arresting flow charts that take hours to absorb fully, but which show how the data we give Facebook is used to calculate our ethnic affinity (Facebook's term), sexual orientation, political affiliation, social class, travel schedule and much more.
    Image copyright Share Lab
    Image caption Share Lab presents its information in minutely detailed tables and flow charts

    One map shows how everything - from the links we post on Facebook, to the pages we like, to our online behaviour in many other corners of cyber-space that are owned or interact with the company (Instagram, WhatsApp or sites that merely use your Facebook log-in) - could all be entering a giant algorithmic process.

    And that process allows Facebook to target users with terrifying accuracy, with the ability to determine whether they like Korean food, the length of their commute to work, or their baby's age.

    Another map details the permissions many of us willingly give Facebook via its many smartphone apps, including the ability to read all text messages, download files without permission, and access our precise location.

    Individually, these are powerful tools; combined they amount to a data collection engine that, Mr Joler argues, is ripe for exploitation.

    "If you think just about cookies, just about mobile phone permissions, or just about the retention of metadata - each of those things, from the perspective of data analysis, are really intrusive."
    http://www.bbc.com/news/business-39947942
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