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Democracy human rights and the rule of law by design for artificial intelligence Correction Finalebis PN (4)
[…] LIST OF ETHICS CODES • Asimov’s three laws of Robotics (1950) • Murphy and Wood’s three laws of Responsible Robotics (2009) • EPSRC Principles of Robotics ( 2010) • Future of Life Institute Asilomar Principles for beneficial AI (Jan 2017) • The ACM US Public Policy Council Principles for Algorithmic Transparency and Accountability (Jan […]
MLA-Code-v2-1-10-18
[…] (v2.0) Page 2 of 4 Future of Privacy Forum www.smartstoreprivacy.com For e xample, simply logging device types encountered does not require notice, nor does counting the total number of times unspecified mobile devices have been detected by a network. If a company only provides aggregated data to clients but still collects and re tains […]
20180413 Legitimate Interest_FPF_Nymity 2018
[…] for the purposes of documenting the agreement by the customer for a contract. Both companies were ordered to cease processing customer’s data through the random recording of phone calls or better inform the customer of the purposes of processing. One company was further ordered to better notify customers of recording for contractual purposes. Random […]
20180413-Legitimate-Interest_FPF_Nymity-2018
[…] for the purposes of documenting the agreement by the customer for a contract. Both companies were ordered to cease processing customer’s data through the random recording of phone calls or better inform the customer of the purposes of processing. One company was further ordered to better notify customers of recording for contractual purposes. Random […]
FPF Open Data Risk Assessment for City of Seattle
[…] credit , and insurance prospects for years to come . Personal data that has been made public without legal conditions may be consumed and repurposed by any number of potential actors, including identity thieves, commercial informa tion resellers (and ultimately their clients, including potential employers, insurers, creditors, and others), companies, friends and family, nosy […]
Slides
[…] of Clinical Epidemiology, Mailman School of Public Health Columbia University Twitter: @ dbarthjones E -mail: [email protected] Misconceptions about HIPAA De – identified Data: “It doesn’t work…” “easy, cheap, powerful re – identification” ( Ohm, 2009 ” Broken Promises of Privacy “) *Pre -HIPAA Re -identification Risks {Zip5, Birth date, Gender} able to identify 87% […]
Notes 12-06-2017
[…] for phishing email/clicking on stuff o Unsafe browsing habits o Use of “Free” WiFi: EXAMPLE: Pineapples, wh ich are devices that spoof Wi -Fi hotspots, are cheap and easy to obtain. At a recent con ference, we set up a pineapple and named it “AT&T Wi -Fi.” Within a minute , we had […]
Protected: Protected: K-12 Privacy Leaders Working Group Notes and Resources
There is no excerpt because this is a protected post.
Higher Ed Working Group Notes 3-31-2017
[…] Responds to practical and political considerations that impacted uniformity and enforcement of current law. Allow s more standardized application across Member States. Effective on May 25, 201 8 with expectations that compliance be achieved by that date. Implementation will not be affected by Brexit — the U.K. will likely end up with a […]
K-12 Education Working Group – End of Year Update
[…] News Articles Quoting FPF Staff or Discussing FPF Publications ( K-12 Education) Passing the Privacy Test as Student Data Laws Take Effect – EdSurge, Jan. 12, 201 6 (op -ed by Brenda Leong and Jules Polonetsky) . Sen. Franken Questions Google About Student Privacy – MediaPost , Jan. 13, 2016 (citing Student […]