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OtonomoPrivacyPaper
[…] For each use of anonymized car data, developers and data analysts need t o look at the essential data points they need and what can be blurred or redacted arou nd those data points. For example, a parking app must have precise location accuracy t o determine whether a parking space is available at a given point in time. However, it does not need to know whether the same vehicle is occupying that parking space, so any ve hicle identifiers can be removed. An app that measures radio-listening habits, on the othe r hand, may need insight into listening time. It needs to know that data points coming in at a set interval Education programs that take place in the dealership might include: One-on-one interactions with a sales representative A video for car buyers to watch while the dealer is detailing their car Paper handouts OEMs may want to customize programs by car model, since each model may c ollect difer- ent data and provide benefits that appeal to diferent customer segm ents with unique infor- mation consumption habits. For example, younger buyers may care more abo ut the conges- tion and pollution reduction benefits of sharing connected car data an d prefer to watch a video. Consumers with families may care more about safety benefits and want paper hand- outs with links to a video they can watch at home. Provide visual indicators of data sharing and its impact Another way to provide transparency is with a visual indicator on the in fotainment system showing that the car is sharing data. This indicator could link to a ” settings” feature in which drivers could see what data they are sharing, both personal and an onymous. A Privacy Practices section on the infotainment center might also remind drivers of the indirect benefits of connected car data, such as reducing congestion, parking time, and pollution. OEMs with models targeting younger consumers might even incor porate gamifi- cation into their data-sharing disclosures, similar to Waze. For example , they could award points to people for miles and kilometers driven. 13 represent the same vehicle, but it does not need precise location, so GP S coordinates can be truncated to only include degrees of latitude and longitude. It’s important to view de-identification as a risk-mitigation tool. It can address technical challenges around using user-level or aggregate car data, but it does no t eliminate all risk. […]
ComparingPrivacyLaws_GDPR_CCPA
[…] detect security incidents , protect against malicious, deceptive, fraudulent, or illegal activity, or prosecute those responsible for that activity; 2727 Differences (cont’d) • debug to identify and repair errors that impair existing intended functionality ; • to enable solely internal uses that are reasonably aligned with the expectations of the consumer based on the […]
June 18 – FPF Webinar – Cavoukian
[…] Defensibility and reduce Ligations and Enforcements with Strong Proof of Records The Business Case for Privacy “Trust takes years to build, seconds to destroy, and forever to repair.” … And trust among the public is at an all – time low today Guard Your Reputation Pew Research Internet Project • Public Perceptions of Privacy […]
CCPA Amendment Update June 2019 – Twelve Bills Survive Assembly and Move to the Senate
[…] Exempts vehicle information shared between a new auto dealer and a vehicle manufacturer when information is shared or retained pursuant to, or in anticipation of, a vehicle repair relating to warranty work or recall. AB 1202 Data broker requirements – Defines a “data broker” and requires data brokers to register with and provide certain […]
GDPR_CCPA_Comparison Guide
[…] consumer ; • detect security incidents , protect against malicious, deceptive, fraudulent, or illegal activity, or prosecute those responsible for that activity; • debug to identify and repair errors that impair existing 28 Fairly consistent D a t a G u i d a n c e Dierences (cont’d) intended functionality ; • to […]
FPF_2017_Form_990_Public_Inspection_Copy_Final
[…] or other assistance to an officer, director, trustee, key employee, substantial contributor or employee thereof, a grant selection committee member, or to a 35% controlled entity or family member of any of these persons? ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Was the organization a party to a business transaction with one of the following parties (see Schedule L, Part […]
EIF_2017_Form_990_Public_Inspection_Copy_Final
[…] or other assistance to an officer, director, trustee, key employee, substantial contributor or employee thereof, a grant selection committee member, or to a 35% controlled entity or family member of any of these persons? ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Was the organization a party to a business transaction with one of the following parties (see Schedule L, Part […]
FPF_PPPM_2018Digest_FINAL_signlepages
[…] Executive Officer WireWheel Jocelyn Aqua Principal, Regulatory Privacy & Cybersecurity PricewaterhouseCoopers LLP Jonathan Avila Vice President, Chief Privacy Officer Wal-Mart Stores Inc. Stephen Balkam Chief Executive Officer Family Online Safety Institute Kenneth Bamberger The Rosalinde and Arthur Gilbert Foundation Professor of Law University of California, Berkeley School of Law Kabir Barday Chief Executive Officer […]
FPF_PPPM_2018Digest_FINAL
[…] Executive Officer WireWheel Jocelyn Aqua Principal, Regulatory Privacy & Cybersecurity PricewaterhouseCoopers LLP Jonathan Avila Vice President, Chief Privacy Officer Wal-Mart Stores Inc. Stephen Balkam Chief Executive Officer Family Online Safety Institute Kenneth Bamberger The Rosalinde and Arthur Gilbert Foundation Professor of Law University of California, Berkeley School of Law Kabir Barday Chief Executive Officer […]
FPF Open Data Risk Assessment for City of Seattle
[…] social media follower) who knows other p ersonal information about an individual . If municipal employee salaries are published to an open data set, for example, a family member who knows a particular individual’s job title may suddenly be able to easily learn how much money their relative make s. Re -identifying a person […]