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Trust Deficit Why a Lack of Trust in Government and Technology has Harmed our Pandemic Response
[…] – 109X(20)30074 – 7/fulltext#seccestitle10 . 5 For a discussion of the initial Google Apple offering in the context of ongoing open source approaches, including the Temporary Contact Number Coa lition members and the Decentralized Privacy – Preserving Proximity Tracing (DP – 3T) project, see “Fundamental technology questions” here: Simpson, Erin & Conner, Adam. “Digital […]
Trust Deficit Why a Lack of Trust in Government and Technology has Harmed our Pandemic Response
[…] – 109X(20)30074 – 7/fulltext#seccestitle10 . 5 For a discussion of the initial Google Apple offering in the context of ongoing open source approaches, including the Temporary Contact Number Coa lition members and the Decentralized Privacy – Preserving Proximity Tracing (DP – 3T) project, see “Fundamental technology questions” here: Simpson, Erin & Conner, Adam. “Digital […]
The Disputed Inequality by Open Linked Data: A Position Paper
[…] is deemed inevitably that public funds will be used to aggregate the data and should these data bring commercial or private advantageous effects to only a few number of users, the users or sectors who benefitted should reimburse governments for the c ost acquired of providing the data. A study [16] most argumentatively suggested […]
InformationPrivacyAct-June3-2020
[…] or household that relate to a category of sensitive covered 22 data described in another subsection of this section . 23 (K) Calendar information, address book information, phone or text logs, photos, or 24 videos maintained in an individual’s non -public account, whether on a n individual’s 25 device or otherwise . 26 (L) […]
OtonomoPrivacyPaper
[…] Ridesharing is an interesting case for data collection consent and helps us to think beyond the car ownership model. Today, a ridesharing driver has a direct relati onship to an OEM and theoretically would be in control of data sharing. Tomorrow, autonom ous ridesharing vehicles will be taking to the road, owned by ridesharing companies or b y OEMs. (Elon Musk has tweeted that Tesla 25 could enter the ridesharing business in the future.) However, the car’s location, heading, music being played on the car’s sound system, and even ads or coupons that get displayed on the infotainment system are data points th at are unique to the rider. In an ideal world, each rider would have easy-to-access priva cy controls and some amount of control over what data they would share. The ridesharing app would then terminate consent automatically when the ride ends. Play #9: Establish a data lifecycle strategy including disposal For every use case, there’s a natural data lifecycle. Keeping data lo nger than necessary for business operations creates avoidable risk. Gail Gottehrer, Founder of t he Law Ofce of Gail Gottehrer LLC, reminds us: “Storage is cheap, but risk is expens ive!” In addition to establishing strategies for collecting and storing data a nd managing consent, each participant in the connected car ecosystem should build comprehensi ve policies and procedures covering data retention and end-of-life data disposal that ar e based on actual business needs. This strategy should be in place even if all of the data you manage is de-identified and/or aggregated. Companies can start the process of developing these policies and procedu res by looking at: The practical, realistic useful life of data for each use case Any legal requirements that could mandate access to archived data (such as litigation holds or regulatory requirements) Practices for discarding raw, user-level data when your use case is base d on aggregate data (and ensuring that any vendors or contractors who may have obtaine d the data from you during the process are legally obligated to discard the data, a nd in fact, do so) Automated data deletion according to your policies and procedures. You s hould also document the deletion process and keep that documentation with your busi ness records, […]
COPPA Rule Review – FPF Comments
[…] § 87 -802; N.C. Gen. Stat. § 75 -66; Or. Rev. Stat. § 165.800; Or. Rev. Stat. § 336.184 (regulating student educational records); Wis. Stat. § 943. 201; W yo. Stat. § 6 -3-901. 23 For example, companies’ ability to train machine learning models on very large datasets of human speech have dramatically improved […]
BPS_Directions_U_Residence
[…] or Etterbeek Station Directions from Brussels Midi to Etterbeek Gare Option 1 – Take the S8 train, destination Ottignies, disembark at Etterbeek Gare Option 2 (30 minutes) • Take the Metro number 2 or 6 to Trone, direction Elisabeth • At Trone, take the 95 bus, direction Weiner, disembark at Etterbeek Station VUB Etterbeek Campus
What We're Reading Artificial Intelligence
[…] digital experiences but increasingly entering sectors that were historically the province of humans— hiring , lending , and flagging suspicious individuals at national borders. Now a growing number of companies, including Salesforce, are selling or building AI-backed systems that schools can use to track potential and current students, much in the way companies keep […]
Peter Swire le monde annotated bibliography
[…] “unified social credit code.” In a new report, US China scholar Samantha Hoffman of the ASPI International Cyber Policy Institute in Canberra discussed recent incidents where international airlines in both the US and Australia were pressured by Chinese authorities to adopt Beijing’s preferred terminology to refer to Taiwan and Hong Kong. According to the […]
Policymakers Guide WeIbinar
[…] ct b ack o n t h e 1 16 s tu den t p riv a cy la w s p asse d s in ce 2013 a s w e s e e h ow t h e y r e la te t o o th e r p riv a […]