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How can we enable the responsible use of data analytics while ensuring the strongest protection of personally identifiable data? By building the necessary protections in as an essential design feature … enter Privacy by Design. By embedding privacy protective measures such as strong de-identification protocols, into the design of much-needed research and data analytics, we will succeed in accomplishing multiple goals, thereby abandoning dated zero-sum paradigms.
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Ann Cavoukian, Ph.D.Ann Cavoukian, Ph.D.Executive Director
Privacy and Big Data InstituteRyerson University
Let’s Get Real:We Need Privacy AND Smart Data Analytics
De-identification SymposiumRyerson UniversityOctober 21, 2014
Let’s Dispel Some Myths
Zero Risk Doesn’t Exist
Privacy ≠ Secrecy
Privacy is not about having something to hide
Privacy = Personal Control
•User control is critical•Freedom of choice•Informational self-determination
Context is key!
Privacy is Essential to Freedom:A Necessary Condition for Societal Prosperity
and Well-Being
• Innovation, creativity, and the resultant prosperity of a society requires freedom;
• Privacy is the essence of freedom: Without privacy, individual human rights, property rights and civil liberties – the conceptual engines of innovation and creativity, could not exist in a meaningful manner;
• Surveillance is the antithesis of privacy: A negative consequence of surveillance is the usurpation of a person’s limited cognitive bandwidth, away from innovation and creativity.
Landmark Resolution Passed to Preserve the Future of Privacy By Anna Ohlden – October 29th 2010 - http://www.science20.com/newswire/landmark_resolution_passed_preserve_future_privacy
JERUSALEM, October 29, 2010 – A landmark Resolution by Ontario's Information and Privacy Commissioner, Dr. Ann Cavoukian, was approved by international Data Protection and Privacy Commissioners in Jerusalem today at their annual conference. The resolution recognizes Commissioner Cavoukian's concept of Privacy by Design - which ensures that privacy is embedded into new technologies and business practices, right from the outset - as an essential component of fundamental privacy protection.
Full Article:http://www.science20.com/newswire/landmark_resolution_passed_preserve_future_privacy
Adoption of “Privacy by Design” as an International Standard
1. English2. French3. German4. Spanish5. Italian6. Czech7. Dutch8. Estonian9. Hebrew10.Hindi11.Chinese12.Japanese
13. Arabic14. Armenian15. Ukrainian16. Korean17. Russian18. Romanian19. Portuguese20. Maltese21. Greek22. Macedonian23. Bulgarian24. Croatian25. Polish
26. Turkish27. Malaysian28. Indonesian29. Danish30. Hungarian31. Norwegian32. Serbian33. Lithuanian34. Farsi35. Finnish36. Albanian37. Catalan
Privacy by Design:Proactive in 37 Languages!
Privacy by Design’s Greatest Strength –Positive-Sum: The Power of “And”
Change the paradigm fromthe dated zero-sum (win/win)
to a “positive-sum” model:Create a win/win scenario,
not an either/or (vs.)involving unnecessary trade-offs
and false dichotomies …
replace “vs.” with “and”
Privacy by Design:The 7 Foundational Principles
1. Proactive not Reactive: Preventative, not Remedial;
2. Privacy as the Default setting;
3. Privacy Embedded into Design;
4. Full Functionality: Positive-Sum, not Zero-Sum;
5. End-to-End Security: Full Lifecycle Protection;
6. Visibility and Transparency: Keep it Open;
7. Respect for User Privacy: Keep it User-Centric.
Big Data
Big Data
• 90% of all data was created within the last 2 years;
• Big Data analysis and data analytics promise new opportunities to gain valuable insights and benefits – new predictive modes of analysis;
• But, it will also enable expanded surveillance, increasing the risk of unauthorized use and disclosure, on a scale previously unimaginable.
Big Data Technology is Not Foolproof
• “Despite rampant interest from enterprise leaders and often sizeable investments in Big Data technologies, many programs still sputter or fail completely.”
— Evanta Leadership Network,May 29, 2014.
Big Data is moving from its “inflated expectations” phase to a “trough of disillusionment.” — Gartner Hype Cycle,
April, 2014
— Commissioner Cavoukian
“Privacy is just as Big as Big Data. The tools exist to systemically protect personal information and bring about the benefits of Big Data. Together we can ensure that Big Data and ‘Big Privacy’ can both be accomplished to enable win-win scenario.”
“The success of data analytics will depend on the ability to ensure that individuals’ privacy is respected. One of the most effective ways in which to do this is through strong “de-identification” of the data — in essence, storing and sharing the data without revealing the identity of the individuals involved.”
— Commissioner Cavoukian
“There are considerable risks in abandoning de-identification efforts, including the fact that individuals and organizations may simply cease disclosing de-identified information for secondary purposes, even those seen to be in the public interest.”
— Commissioner Cavoukian
Big DataNeeds
Big Privacy!
Contact Information
Ann Cavoukian, Ph.D.Ann Cavoukian, Ph.D.Executive DirectorPrivacy and Big Data Institute Ryerson University
285 Victoria Street Toronto, Ontario M5B 2K3
Phone: (416) 979-5000 ext. [email protected]
twitter.com/PrivacyBigData
