Privacy Patterns

Overview of the privacypatterns.org project at the PII (Privacy, Identity, Innovation) Conference 2012.

Transcript

1. Nick Doty and Mohit Gupta privacy patterns
2. privacy by design “in practice”
3. bad examples are not enough for designers and developers learning design and engineering lessons before disasters.
4. why patterns
5. patterns a pattern is the solution to a problem in a context.
7. shared ˙language˙
8. institutionalize knowledge
9. and patterns allow for collaboration, consistent solutions, and continuous learning
10. patterns like...
11. ambient notice
12. privacy patterns Goals Romanosky, et al.
13. categories transparency location access concerns reveals more data shared accounts see deindentification
14. structure of a pattern categories title intent context problem solution examples concerns
15. some principles for privacy user control notice consent secondary use distribution retention transparency feedback aggregation
17. strip invisible metadata
18. how do privacy patterns help ‘me’
19. rock stars app developers learn from others ninjas
20. bad examples are not enough for designers and developers share across teams
21. in data
22. how do privacy patterns help ‘me’
23. building trust and community
24. contribute to privacypatterns.org
25. Text patterns, drafts, website, and discussions
26. write and edit patterns
27. github issues create
28. use a pattern
29. pii.privacypatterns.org thank you
32. a privacy strategy government media partners legal business engineering design communications
33. governments are recommending a privacy strategy
34. a privacy strategy safeguards data from governments
35. a privacy strategy improves conversations with partners
36. a privacy strategy brings customers to trust products