September 2017 - nexa - server-nexa.polito.it

Verizon: 300$ agli utenti che concedono lo sfruttamento commerciale dei dati di navigazione " which collects, monetizes and shares user internet browing and app usage data with a rotating crop of companies."
by gabriele elia Sept. 7, 2017

Sept. 7, 2017

un trend negli USA .. gabriele Verizon's New 'Rewards' Program Tracks Your Internet Usage -<http://wirelessiq.us8.list-manage.com/track/click?u=5000b2674aa552c31856aa7…> Verizon has revamped the company's rewards program, and now requires that users allow their online behavior to be tracked and sold to participate. Verizon recently unveiled Verizon Up, a replacement for the company's Smart Rewards program. Under Verizon Up, users can earn credits for every $300 they spend on Verizon Wireless products and services. Customers can then use those credits to get discounts on a rotating crop of goods and services, including movie tickets and some streaming services. But to participate in Verizon Up, users need to agree to enroll in Verizon Selects, which collects, monetizes and shares user internet browing and app usage data with a rotating crop of companies. Who those companies are isn't entirely clear, and Verizon's participation agreement doesn't help all that much. "We do not share information that identifies you personally outside of Verizon as part of this program other than with vendors and partners who do work for us," the website says. "We require that these vendors and partners protect the information and use it only for the services they are providing us." Ars Technica recently asked Verizon who gets your browsing and other data, and didn't have much luck gaining clarity. Verizon only pointed the website to the company's privacy policy, which only informs users that the company shares customer data "within our family of companies," as well as with vendors and partners. In short, that could be pretty much anybody. You'll recall that Verizon played a starring role in lobbying to kill new broadband privacy protections at the FCC. At the heart of those protections were the requirement that companies need to be completely transparent about what data is collected, and which companies it's being shared with. If you don't like having your data collected, Verizon's solution is simply not to use the rewards program. "We give our customers choice and control," Verizon insists. "They have the choice to opt in and participate in the program, and if they do choose to participate, they have the choice to opt out at any time,"read comment(s) http://wirelessiq.us8.list-manage.com/track/click?u=5000b2674aa552c31856aa7… [http://i.dslr.net/syms/0b3de145f343381076814d12e9449f5f.jpg]<http://wirelessiq.us8.list-manage.com/track/click?u=5000b2674aa552c31856aa7…> Verizon's New 'Rewards' Program Tracks Your Internet Usage<http://wirelessiq.us8.list-manage.com/track/click?u=5000b2674aa552c31856aa7…> wirelessiq.us8.list-manage.com News: Verizon has revamped the company's rewards program, and now requires that users allow their online behavior to be tracked and sold to participate. Verizon recently unveiled Verizon Up,

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Paper: "Limitless Worker Surveillance"
by J.C. DE MARTIN Sept. 7, 2017

Sept. 7, 2017

*Limitless Worker Surveillance * /Ifeoma Ajunwa, Kate Crawford, and Jason Schultz California Law Review / From the Pinkerton private detectives of the 1850s, to the closed-circuit cameras and email monitoring of the 1990s, to new apps that quantify the productivity of workers, and to the collection of health data as part of workplace wellness programs, American employers have increasingly sought to track the activities of their employees. Starting with Taylorism and Fordism, American workers have become accustomed to heightened levels of monitoring that have only been mitigated by the legal counterweight of organized unions and labor laws. Thus, along with economic and technological limits, the law has always been presumed as a constraint on these surveillance activities. Recently, technological advancements in several fields—big data analytics, communications capture, mobile device design, DNA testing, and biometrics—have dramatically expanded capacities for worker surveillance both on and off the job. While the cost of many forms of surveillance has dropped significantly, new technologies make the surveillance of workers even more convenient and accessible, and labor unions have become much less powerful in advocating for workers. The American worker must now contend with an all-seeing Argus Panoptes built from technology that allows for the trawling of employee data from the Internet and the employer collection of productivity data and health data, with the ostensible consent of the worker. This raises the question of whether the law still remains a meaningful avenue to delineate boundaries for worker surveillance. www.californialawreview.org/wp-content/uploads/2017/07/3Ajunwa-Schultz-Craw… https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2746211 Copyright © 2017 California Law Review, Inc. California Law Review, Inc. (CLR) is a California nonprofit corporation. CLR and the authors are solely responsible for the content of their publications.

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"La Commission européenne accélère sa lutte contre les « fake news », vraiment une bonne nouvelle ?"
by J.C. DE MARTIN Sept. 6, 2017

Sept. 6, 2017

*La Commission européenne accélère sa lutte contre les « fake news », vraiment une bonne nouvelle ?** * /BIG BROTHER La nouvelle commissaire européenne chargée du numérique veut constituer un groupe d’experts contre la désinformation et mettre la pression sur les réseaux sociaux…// / Olivier Philippe-Viela C’est un serpent de mer depuis plusieurs mois. Comment lutter contre les « fake news », cette désinformation de masse qui a pesé sur le résultat de la campagne menant au Brexit et l’élection américaine en 2016 ? Selon le réseau de médias Euractiv, la Commission européenne a décidé de passer une vitesse sur le sujet. Nommée le 7 juillet commissaire en charge du numérique, la Bulgare Mariya Gabriel va constituer un groupe d’experts et préparer « une proposition de consultation publique » afin de lutter contre la désinformation en ligne. […] Continua qui: http://www.20minutes.fr/high-tech/2126487-20170904-commission-europeenne-ac…

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Paper: "100,000 false positives for every real terrorist: Why anti-terror algorithms don’t work"
by J.C. DE MARTIN Sept. 6, 2017

Sept. 6, 2017

*100,000 false positives for every real terrorist: Why anti-terror algorithms don’t work *by Timme Bisgaard Munk /First Monday/, Volume 22, Number 9 - 4 September 2017 http://journals.uic.edu/ojs/index.php/fm/article/view/7126/6522 doi: http://dx.doi.org/10.5210/fm.v22i19.7126 / //Abstract/ Can terrorist attacks be predicted and prevented using classification algorithms? Can predictive analytics see the hidden patterns and data tracks in the planning of terrorist acts? According to a number of IT firms that now offer programs to predict terrorism using predictive analytics, the answer is yes. According to scientific and application-oriented literature, however, these programs raise a number of practical, statistical and recursive problems. In a literature review and discussion, this paper examines specific problems involved in predicting terrorism. The problems include the opportunity cost of false positives/false negatives, the statistical quality of the prediction and the self-reinforcing, corrupting recursive effects of predictive analytics, since the method lacks an inner meta-model for its own learning- and pattern-dependent adaptation. The conclusion is algorithms don’t work for detecting terrorism and is ineffective, risky and inappropriate, with potentially 100,000 false positives for every real terrorist that the algorithm finds.

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il controllo delle mail in ambito lavorativo sentenza CEDU, Grand Chamber, caso Barbulescu c. Romania del 5 settembre 2017
by Mauro Alovisio Sept. 6, 2017

Sept. 6, 2017

Gent.me/msegnalo sentenza di interesse: sentenza CEDU, Grand Chamber, caso Barbulescu c. Romania del 5 settembre 2017 <http://www.dirittoegiustizia.it/allegati/PP_INTERN_CEDU_milizia_s_4.pdf> e relativo articolo di analisi dell'Avv. Giulia Milizia ad oggetto "*Il datore non può spiare la mail e la chat del dipendente, nemmeno se aziendali: viola la sua privacy* " http://www.dirittoegiustizia.it/news/17/0000085620/Il_datore_non_puo_spiare… Cordiali saluti Mauro Alovisio

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Il nuovo regolamento europeo in materia di protezione dei dati personali - 22 settembre 2017 (Torino)
by Francesco Ruggiero Sept. 5, 2017

Sept. 5, 2017

Gentilissimi, venerdì *22 settembre* *2017,* dalle ore 16:30 alle 20:30, si svolgerà un seminario dal titolo: *Il nuovo regolamento europeo in materia di protezione dei dati personali. Quale impatto per le imprese?* L'incontro, organizzato dalla Fondazione dell’Ordine degli Ingegneri della Provincia di Torino in collaborazione con l’Ordine Ingegneri e il Centro Studi di Informatica Giuridica di Ivrea – Torino, si terrà presso la *Sala Consiglio dell’ Ordine degli Ingegneri di Torino*, in via Giolitti, 1. Parteciperanno *Francesco PIZZETTI*, *Mauro ALOVISIO*, *Maria Grazia D’AMICO, Nicola DI MARE e Fabrizio Mario VINARDI.* Introduce e modera *ing. Alberto Maria BARBERIS*. Maggiori informazioni sul programma sono disponibili alla pagina: http://www.privacyitalia.eu/event/seminario-regolamento-europeo-materia-pro… Cordiali saluti, Francesco -- Francesco Ruggiero Communication Manager Nexa Center for Internet & Society Politecnico di Torino - DAUIN Corso Duca degli Abruzzi, 24 - 10129 Torino web: http://nexa.polito.it mail: francesco.ruggiero(a)polito.it tel: 011 090 7219

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Why this woman strikes fear into the net’s big boys | John Naughton
by Alberto Cammozzo Sept. 4, 2017

Sept. 4, 2017

https://www.theguardian.com/commentisfree/2017/sep/03/woman-strikes-fear-in… ... The McCaskill bill proposes to “clarify” section 230 so that websites that knowingly facilitate sex trafficking can be held liable for what they publish. It’s cleverly drafted to target a particularly odious use of the immunity provided by section 230. But the internet companies are deeply alarmed by it, because they know it could be the thin end of a powerful wedge – a wedge that could, effectively, destroy their business models (and change the internet). But they’re in a bind because – after all – they’re all opposed to sex slavery. Just like they were once all in favour of the first amendment. This is soon going to get really interesting. Stay tuned.

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How to Regulate Artificial Intelligence
by Alberto Cammozzo Sept. 3, 2017

Sept. 3, 2017

How to Regulate Artificial Intelligence By OREN ETZIONI <https://www.nytimes.com/2017/09/01/opinion/artificial-intelligence-regulati…> The technology entrepreneur Elon Musk recently urged the nation’s governors <http://thehill.com/policy/technology/342345-elon-musk-we-need-to-regulate-a…> to regulate artificial intelligence “before it’s too late.” Mr. Musk insists that artificial intelligence represents an “existential threat to humanity,” an alarmist view that confuses A.I. science with science fiction. Nevertheless, even A.I. researchers like me recognize that there are valid concerns about its impact on weapons, jobs and privacy. It’s natural to ask whether we should develop A.I. at all. I believe the answer is yes. But shouldn’t we take steps to at least slow down progress on A.I., in the interest of caution? The problem is that if we do so, then nations like China will overtake us. The A.I. horse has left the barn, and our best bet is to attempt to steer it. A.I. should not be weaponized, and any A.I. must have an impregnable “off switch.” Beyond that, we should regulate the tangible impact of A.I. systems (for example, the safety of autonomous vehicles) rather than trying to define and rein in the amorphous and rapidly developing field of A.I. I propose three rules for artificial intelligence systems that are inspired by, yet develop further, the “three laws of robotics” that the writer Isaac Asimov introduced in 1942: A robot may not injure a human being or, through inaction, allow a human being to come to harm; a robot must obey the orders given it by human beings, except when such orders would conflict with the previous law; and a robot must protect its own existence as long as such protection does not conflict with the previous two laws. These three laws are elegant but ambiguous: What, exactly, constitutes harm when it comes to A.I.? I suggest a more concrete basis for avoiding A.I. harm, based on three rules of my own. []

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programma di e-privacy 2017 autumn edition, Venezia 13 e 14 ottobre
by Mauro Alovisio Sept. 2, 2017

Sept. 2, 2017

Gent.me/mi segnalo da altra lista interessanti informazioni e programma di e-privacy 2017 "E' stato pubblicato il programma di e-privacy 2017 autumn edition, che si svolgera' a Venezia il 13 e 14 ottobre, nella sede storica del Tribunale a Rialto. Il tema e' "I dati perduti - Processo al Cloud". L'argomento Cloud viene affrontato da e-privacy per la seconda volta, a motivo dell'impatto che la "virtualizzazione" dei dati edi vincoli sulla loro disponibilta' ha ed avra' sulla Rete. Considerando l'argomento senz'altro controverso e la sede di quest'anno, nella giornata di sabato le presentazioni saranno organizzate in forma di vero e proprio "Processo", con testimonianze, arringhe, sentenza ed ampia partecipazione del pubblico e delle parti "in causa". Marco Calamari Trovate il programma ed il link per l'iscrizione, come sempre gratuita, sul sito istituzionale http://e-privacy.winstonsmith.org/ Vi aspettiamo. Marco Calamari" Buon fine settimana Mauro Alovisio <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai…> Mail priva di virus. www.avast.com <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai…> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>

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Lavorare gratis, addestrare intelligenze artificiali
by Antonio Casilli Sept. 2, 2017

Sept. 2, 2017

Per un anno, gli utilizzatori dell'applicazione Google Quick Draw (un gioco che consiste a disegnare entro 20 secondi una figura data) hanno "addestrato" gratis il sistema di intelligenza artificiale SketchRNN. Ecco il paper che presenta i risultati, e spiega come il training dataset per questa rete neurale è stato estratto: "We constructed QuickDraw , a dataset of vector drawings obtained from Quick, Draw! [ 11 ], an online game where the players are asked to draw objects belonging to a particular object class in less than 20 seconds. QuickDraw consists of hundreds of classes of common objects. Each class of QuickDraw is a dataset of 70K training samples, in addition to 2.5K validation and 2.5K test samples." Ha, David & Eck, Douglas (2017). "A Neural Representation of Sketch Drawings" https://arxiv.org/pdf/1704.03477.pdf E un articolo un po' meno tecnico qui: https://www.theatlantic.com/technology/archive/2017/06/google-drawing/52947… -- Antonio A. Casilli Associate Professor, Telecom ParisTech Research Fellow, Edgar-Morin Center (EHESS) Member, Interdisciplinary Institute for Innovation (i3 UMR 9217 CNRS) Faculty Fellow, Nexa Center for Internet & Society

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