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LinkedIn Tech Talk: The Accidental Chief Privacy Officer
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LinkedIn Tech Talk: The Accidental Chief Privacy Officer

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LinkedIn Tech Talk ...

LinkedIn Tech Talk
Mountain View
November 16, 2011
http://linkd.in/s3tUP8

Today's engineer CPO, and I'm one, must deeply involve themselves with the technology and product design process to bake-in privacy. This new breed of CPO is comfortable in an engineering scrum, product focus group, reviewing pending regulations, or analyzing A/B test results. They have the historical awareness, frontier spirit, regulatory caution, technical chops, and innovator's curiosity to work through the toughest data issues. The promise of the engineer CPO is that products, not only safeguard privacy, but compete on it.

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LinkedIn Tech Talk: The Accidental Chief Privacy Officer Presentation Transcript

  • 1. Austin Alleman @allemanauThe Accidental Chief Privacy Officer Jim Adler Chief Privacy Officer & General Manager, Data Systems Intelius twitter: @jim_adler http://jimadler.me LinkedIn Tech Talk November 2011
  • 2. About INTELIUS • Direct-to-consumer provider of public information about people and businesses. • Discover each other to make better decisions and empower yourself to take control of your reputation. • comScore top 100 site; 11M unique, paying customers.
  • 3. Billions of Records The “Big Data” People Search Problem 300 Million People Randolph Hutchins Philip 5 People Collins 375 People Jim Adler 213 records mapped 213 Records 37 People Gwen to the correct 37 Jim Adlers Fleming 2 People Jim Adler Carol Brooks McKinney, TX 9800 Records Jim Adler Age 57 1250 People Houston, TX Age 68 Jim Adler Hastings, NE Age 32 Jim Adler Canaan, NH Age 59 Jim Adler Redmond, WA Age 48 Jim Adler Denver, CO Age 48
  • 4. Intelligence Geek DweebI am not an Nerd Attorney Social Obsession Dork Ineptitude
  • 5. Eclectic Innovators Richard Feynman Norio Ohga Physics Sony President 74 min CD Steve Jobs ‘nuff said Jeff Jonas Mark Zuckerberg Big Data Real Names Privacy by Design
  • 6. Agenda Austin Alleman @allemanau Innocence Frontier Regulation Innovation
  • 7. Frontier
  • 8. The surface web is small… 167 Terabytes
  • 9. Compared to the deep web… 91,000 Terabytes
  • 10. ~20 Exabytes (20B GB) Data fromdawn of civilization through 2002 Data from April 2011
  • 11. For lots of reasons… (some regulated) CALLER ID OF HARASSING ONLINE SHOPPERS RECONNECTING OUT-OF-TOUCH PHONE CALLS VERIFYING ONLINE SELLERS FAMILY MEMBERS LAW BANKING SERVICES ADOPTED KIDS SEEKING THEIR ENFORCEMENT LEARNING ABOUT AIRLINES TRYING TO BIOLOGICAL PARENTS A BUSINESS RETURN LOST LUGGAGE NETWORKERS SEEKING BUSINESS OPPORTUNITIES SOCIAL NETWORKERS LOOKING TO PROFESSIONALS LEARNING ABOUT EXPAND THEIR FRIENDS LIST COLLEAGUES AT CONFERENCES SOCIAL WORKERS WHO NEED TO KNOW SINGLES CURIOUS ABOUT THE MORE ABOUT THEIR CLIENTS PEOPLE THEY MEET LAWYERS NEEDING QUICK ACCESS TO COURT RECORDS FIND OWNER OF DOG’S INVESTIGATIVE JOURNALISTS GENEALOGISTS CULTIVATING RELATIVE FOR TRANSPLANT RUNNING DOWN LEADS THEIR FAMILY TREE CHECKING OUT A PROSPECTIVE TENANT RESEARCH SALES PROFESSIONALS LOOKING NON-PROFIT ORGANIZATIONS FOR NEW PROSPECTS LOOKING FOR SUPPORTERS ALUMNI GROUPS PARENTS ENSURING WHO ARRANGING REUNIONS ANYONE RETRIEVING BUSINESSES THAT NEED TO UPDATE CONTACT THEIR KIDS SAFETY COURT RECORDS INFORMATION ON CUSTOMERS CHECKING OUT A FINDING PEOPLE THAT HAVE THE PROSPECTIVE DATE SHARING THOSE IN LEGALLY ENTANGLED SAME ILLNESS AS YOU LOOKING FOR COURT RECORDS FIANCÉS AND THEIR CURIOUS ANYONE WHO NEED ADDRESS FAMILY MEMBERS HISTORIES FOR PASSPORTS ANYONE CURIOUS ABOUT WHOS EMAILING OR CALLING THEM CHECKING OUT A PROSPECTIVE SOCIAL FINDING LONG-LOST FRIENDS, MILITARY NETWORK CONNECTION BUDDIES, ROOMMATES, OR CLASSMATES RESEARCHING A PROSPECTIVE EMPLOYEE REGULATED
  • 12. Providing major benefits… • 51% “major benefit” is ease and convenience • 41% “major benefit” is portability • 39% “major benefit is sharing – Use of Cloud Computing Applications and Services, Pew 2008
  • 13. But real concerns… • 90% “very concerned” if data sold • 80% “very concerned” if photos used for marketing • 68% “very concerned” if data used to serve them ads – Use of Cloud Computing Applications and Services, Pew 2008
  • 14. A Prescient Venn Diagram?
  • 15. Innocence
  • 16. When towns were small …
  • 17. “The only thing worse than being talkedabout, is not being talked about.” − Oscar Wilde Density↓ → Anonymity↓ → Privacy Expectation↓
  • 18. “Good Fences Make Good Neighbors” - Mending Wall, Robert Frost Density↑ → Anonymity↑ → Privacy Expectation↑
  • 19. “In times of rapid change, experience couldbe your worst enemy.” − J. Paul Getty #@?$!! “Privacy Vertigo” Density↓ → Anonymity↓ → Privacy Expectation↓
  • 20. What’s in a Nym? Source: Intelius
  • 21. Regulation
  • 22. How should we think about privacy? PRIVACY CONSEQUENCES
  • 23. Public speaking is publicly public
  • 24. Voting is a privately public
  • 25. And some things are publicly private
  • 26. Your home is clearly private
  • 27. Privacy and Power
  • 28. And the Constitution protects your privacy from government …
  • 29. But no Constitutional protections between citizens
  • 30. It would be nice … to use familiar framework
  • 31. Tweeting is (mostly) public
  • 32. Cloud banking clearly private
  • 33. Cloud dating is public confidential
  • 34. Federal Trade Commission Guidance • Fair Info Practice Principles (FIPPs) • “Privacy by Design” • Consent unnecessary for commonly accepted practices • Increased transparency
  • 35. Confusion Matrix PREDICTED “Match” “No Match” “Match” True Positive False Negative A CTUAL “No Match” False Positive True Negative
  • 36. “Policy” Confusion Matrix R E G U L AT I O N S “Data Use” “Data Access” INSERT Fair Credit CONFUSED V I O L AT I O N S “Data Use” Reporting Act REGULATIONS HERE 4th Amend, GLBA, COPPA, “Data Access” Ø DPPA, HIPPA, ECPA, State Breach Laws
  • 37. Innovation
  • 38. Compliance “Evolved” Raw Materials Product Marketing Development Marketing Product CPO Technology Compliance Quality Release Acceptance Compliance
  • 39. Hilary Mason’s Maxim Math + Code = Awesome Quants Making a killing on Wall Street but still can’t impress the chicks Weakonomics.com
  • 40. Corollary to Mason’s Maxim Values * (Math + Code) = Awesome
  • 41. First Social Network: The Dinner Table We eat. We share.
  • 42. A Pescatarian Digression
  • 43. ~20 ~10,000Exabytes GCal(20B GB) Data in April 2011 Food in April 2011
  • 44. Food Policy Leads Privacy Policy Peanut Butter Pure Food Hearings Political Heat / Scientific Light Act Labeling Reform FTC Est. “Snake Civil Food Rights Oil” Privacy Packaged GMO Foods “Robber Social Barons” FCRA Media Adoption 1880 1900 1920 1940 1960 1980 2000 Date
  • 45. “Give Peas a Chance” Mendel’s Peas Monsanto’s Corn ? =
  • 46. “Give me the bad news first, Doc” =“CDC reports investigations of outbreaks” “46 states & DC require notification of a databreach. National legislation upcoming.”
  • 47. Opaque Transparency Does Not Inform
  • 48. Transparency Allows Data Driven Decisions
  • 49. YOU % % % % % % =
  • 50. TrueRep.com: Control comes from Awareness • 360° view of your public profile • Awareness, control, pr omotion • Privacy controls • Comment on your on public profile • Reputation management • Stay tuned …
  • 51. Reports of privacy’s death have been greatly exaggerated … 1. Innovation is a team sport 2. Drive confluence of influence within your org 1. Be the happy warrior 1. Find clarity within confusion
  • 52. Questions? Jim Adler Chief Privacy Officer & General Manager, Data Systems Intelius twitter: @jim_adler http://jimadler.me