Data Privacy
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Rescooped by Sebastiao from Personal data and technology
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La dangereuse alliance du « Big Data » et des multinationales

La dangereuse alliance du « Big Data » et des multinationales | Data Privacy | Scoop.it
Jacques Attali, économiste et écrivain, et Bernard Barbier, directeur technique de la DGSE de 2006 à 2014, nous expliquent que les vainqueurs de demain seront les grandes entreprises alliées au « Big Data » et pourquoi elles seront plus dangereuses que la surveillance des États.

Via C.I.L. CONSULTING
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How we sold our souls – and more – to the internet giants

How we sold our souls – and more – to the internet giants | Data Privacy | Scoop.it
From TVs that listen in on us to a doll that records your child’s questions, data collection has become both dangerously intrusive and highly profitable. Is it time for governments to act to curb online surveillance?

Via C.I.L. CONSULTING
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Algorithms are like invisible judges that decide our fates | Dave Bry

Algorithms are like invisible judges that decide our fates | Dave Bry | Data Privacy | Scoop.it
Companies now use ‘voice analysis’ software to determine whether to hire us. And, once we’re employed, to predict if we’ll stay

Via C.I.L. CONSULTING
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Rescooped by Sebastiao from Personal data and technology
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Adobe’s e-book reader sends your reading logs back to Adobe—in plain text

Adobe’s e-book reader sends your reading logs back to Adobe—in plain text | Data Privacy | Scoop.it
Digital Editions even tracks which pages you've read. It might break a New Jersey Law.

Via C.I.L. CONSULTING
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Rescooped by Sebastiao from Health, Digital Health, mHealth, Digital Pharma, hcsm latest trends and news (in English)
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Personal Health Trackers Could Reveal Trends in Disease Factors

Personal Health Trackers Could Reveal Trends in Disease Factors | Data Privacy | Scoop.it
SOURCE Monday, May 11, 2015 Researchers are looking toward the vast amount of health data being collected by personal tracking devices to help reveal trends and patterns in factors that contribute to diseases, the Washington Post reports. Background According to the Post, people throughout the world are increasingly using devices to track health data. For example, the 2015 Consumer Electronics Show held in January showcased new tracking devices such as: Baby bottles that can measure nutritional intake; Contact lenses that can measure individuals' glucose levels; Earbuds that can measure an individual's temperature and blood oxygen levels; Fitness bands that can measure how high individuals jump; and "Smart" clothing that connects to smoke detectors. In addition, companies in the future plan to integrate other advances into the devices, such as chips that can be ingested or float in a person's blood stream and track health data from inside their bodies. Potential for Health Data

Via Celine Sportisse
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Rescooped by Sebastiao from Bienvenue dans la société de contrôle
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Même de dos, Facebook sait vous reconnaître sur les photos

Même de dos, Facebook sait vous reconnaître sur les photos | Data Privacy | Scoop.it
après avoir atteint quasiment la perfection dans la reconnaissance faciale avec son algorithme DeepFace, Facebook travaille désormais à l'identification des individus dont le visage n'apparaît pas. Une équipe de chercheurs du laboratoire d'intelligence artificielle Facebook IA Research et de l'Université de Berkeley ont ainsi publié leurs travaux sur PIPER (Pose Invariant PErson Recognition), un nouvel algorithme fait maison qui facilite la reconnaissance des individus à partir de leur posture corporelle.

Via cyberlabe
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Rescooped by Sebastiao from HR Analytics and Big Data @ Work
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The Algorithm That Tells the Boss Who Might Quit

The Algorithm That Tells the Boss Who Might Quit | Data Privacy | Scoop.it
Companies including Wal-Mart, Credit Suisse and Box are analyzing an array of data points to determine who is likely to leave. The idea is for managers to have early warning so they can take action before employees jump ship.

Via Tony Brugman (Bright & Company)
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Tony Brugman (Bright & Company)'s curator insight, April 9, 2015 11:44 AM

Is it OK for an employer to predict whether an employee has a higher chance or risk to leave the company? Or does this mean a less 'human'-side in HR? This article from WSJ stirred up some debate (100+ comments).