Universal Privacy Label - Jeremy Raider (CLEVER°FRANKE)

Presentation by Jeremy Raider (CLEVER°FRANKE) who researched existing privacy languages for Sensor Lab's research project Demytsifying the Smart City. The presentation presents a design for a visual language to raise awareness about data collection usage and privacy in public space for a general audience.

Transcript

1. | 10–12–2018 Universal Privacy Label — Demystifying the Smart City
2. Design a visual language to raise awareness about data collection usage and privacy for a general audience. PROJECT FRAMING
3. 1080 × 675 (16:10) centre aligned / y = 173 COOKIE ACCEPTANCE
4. 1080 × 675 (16:10) centre aligned / y = 173 POLICY UPDATE ACCEPTANCE
5. We have no choice but to agree to the terms of many services we depend on. PROBLEM EXPLORATION
6. Why not create a standard way to be more informed about services’ terms and their privacy implications? PROBLEM EXPLORATION
7. EXISTING PRODUCT OVERVIEW 2007
 KnowPrivacy 2010
 Mozilla Icons 2011
 TrustArc Short Notice 2012
 GDPR Draft Icons 2014
 Disconnect.me Extension 2018
 DuckDuckGo Privacy Extension
8. Previous products focused on raising awareness of privacy online, but why not make an actionable, understandable, and universal system for both online and offline? EXISTING PRODUCTS ANALYSIS
10. Smart Cities - Anthony Townsend A New Taxonomy of Smart City Projects - Guido Perboli Urban Big Data - Rob Kitchin Taxonomy of Privacy - Daniel J. Solove Taxonomy of Privacy - Rob Kitchin Four States of Privacy - Alan Westin Privacy Values - Roger Clarke Categories of Privacy - Roger Clarke Seven Types of Privacy - Rachel Finn, David Wright, Michael Friedewald We explored existing literature before crafting our own privacy taxonomy: TAXONOMY RESEARCH
11. TAXONOMY DEVELOPMENT Service Privacy Rank Do the physical and digital services we interact with handle our personal data ethically? C​ollection CL1 Is only non-personal data collected? (If yes, then finish the review and add all possible points.) Y (+1) U (+0) N (+0) CL2 Is the type of personal data collected communicated? Y (+1) U (+0) N (+0) CL3 Is collected personal data kept to a minimum for the intended purpose? Y (+1) U (+0) N (+0) CL4 Is the method for collecting personal data communicated? Y (+1) U (+0) N (+0) CL5 Is your collected personal data encrypted? Y (+1) U (+0) N (+0) Usage US1 Is the primary use for collecting your personal data communicated? Y (+1) U (+0) N (+0) US2 Is there only a primary use of your personal data by the collecting party? (No secondary use?) Y (+1) U (+0) N (+0) US3 Is how long your personal data retained by the collecting party communicated? Y (+1) U (+0) N (+0) US4 Is a notification sent by the collecting party if their personal data usage policy changes? Y (+1) U (+0) N (+0) US5 Is the collecting party refraining from sharing your personal data with third parties? Y (+1) U (+0) N (+0) Control CN1 Is it possible to limit the collection of your personal data? Y (+1) U (+0) N (+0) CN2 Is it possible to opt-out of personal data collection without sacrificing the purpose of interaction? Y (+1) U (+0) N (+0) CN3 Is it possible to modify how long the collecting party retains your personal data for? Y (+1) U (+0) N (+0) CN4 Is it possible to control personal data sent to third parties? Y (+1) U (+0) N (+0) CN5 Is ownership of personal data retained? Y (+1) U (+0) N (+0)
12. TAXONOMY VALIDATION Entity Ranking Shopping in Albert Heijn Store Facebook.com LinkedIn.com Spotify.com DuckDuckGo.com F (0/15) D (4/15) C (7/15) C (7/15) A (15/15)
13. SIMPLE PRIVACY LABEL DESIGN
14. GENERATIVE PRIVACY LABEL DESIGN
16. RANKING IN THE WILD
17. 432 × 768 (16:9) centre aligned MORNING ROUTINE
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