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Strata Conference NY: The Accidental Chief Privacy Officer
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Strata Conference NY: The Accidental Chief Privacy Officer


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Strata Conference …

Strata Conference
New York
September 23, 2011

The first generation of chief privacy officers were typically attorneys, charged with the formulation and enforcement of privacy policies. Times have changed. Given the speed and complexity of technology, the privacy policy is necessary but hardly sufficient. Because we live much of our lives in public, both online and offline, the Internet is transforming the anonymity of our cities into the familiarity of small towns. Privacy is deeply ingrained within the technology that manages this personal data. The products and services driving this transformation must consider privacy from the earliest design sessions.

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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  • 1. Austin Alleman@allemanau
    The Accidental Chief Privacy Officer
    Jim AdlerChief Privacy Officer & General Manager, Data SystemsIntelius
    twitter: @jim_adler
    Strata Conference, New YorkSeptember 2011
  • 2. 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.
    About INTELIUS
  • 3. Billions of Records
    300 Million People
    The “Big Data” People Search Problem
    213 records mapped
    to the correct 37 Jim Adlers
    Randolph Hutchins
    5 People
    Philip Collins
    375 People
    Jim Adler
    213 Records37 People
    Jim Adler
    McKinney, TX
    Age 57
    Gwen Fleming
    2 People
    Jim Adler
    Houston, TX
    Age 68
    Carol Brooks
    9800 Records
    1250 People
    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. “Dennis Rodman” Profile
  • 5. Intelligence
    I am not an
  • 6.
  • 7. Mark Zuckerberg
    Real Names
    Richard Feynman
    Norio Ohga
    Sony President
    74 min CD
    Jeff Jonas
    Big Data
    Privacy by Design
    Steve Jobs
    ‘nuff said
    Eclectic Innovators
  • 8. Agenda
    Austin Alleman@allemanau
  • 9. Frontier
  • 10. The surface web is small…
    167 Terabytes
  • 11. Compared to the deep web…
    91,000 Terabytes
  • 12. ~20Exabytes
    (20B GB)
    Data from
    dawn of civilization
    through 2002
    Data from
    April 2011
  • 13. Reconnecting out-of-touch family members
    Online shoppers verifying online sellers
    Caller ID of harassing phone calls
    Law enforcement
    Banking Services
    Adopted kids seeking their biological parents
    Learning about a business
    Airlines trying to return lost luggage
    Networkers seeking business opportunities
    Social networkers looking to expand their friends list
    Professionals learning about colleagues at conferences
    Social workers who need to know more about their clients
    Singles curious about the people they meet
    Lawyers needing quick access to court records
    Find owner of dog’s relative for transplant
    Genealogists cultivating their family tree
    Investigative journalists running down leads
    Checking out a prospective tenant
    Sales professionals looking for new prospects
    Non-profit organizations looking for supporters
    Alumni groups arranging reunions
    Parents ensuring who their kids safety
    Anyone retrieving court records
    Businesses that need to update contact information on customers
    Checking out a prospective date
    Finding people that have the same illness as you
    Those in legally entangled looking for court records
    Anyone who need address histories for passports
    Fiancés and their curious family members
    Anyone curious about who's emailing or calling them
    Checking out a prospective social network connection
    Finding long-lost friends, military buddies, roommates, or classmates
    Researching a prospective employee
    For lots of reasons… (some regulated)
  • 14. 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
  • 15. 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
  • 16. A Prescient Venn Diagram?
  • 17. Innocence
  • 18. When towns were small …
  • 19. “The only thing worse than being talked about, is not being talked about.”− Oscar Wilde
    Density↓ ->Anonymity↓ ->Privacy Expectation↓
  • 20. “Good Fences Make Good Neighbors” - Mending Wall, Robert Frost
    Density↑ ->Anonymity↑ ->Privacy Expectation↑
  • 21. “In times of rapid change, experience could be your worst enemy.” − J. Paul Getty
    “Privacy Vertigo”
    Density↓ ->Anonymity↓ ->Privacy Expectation↓
  • 22. What’s in a Nym?
    Source: Intelius
  • 23. Regulation
  • 24. So, how do we think about public and private now?
  • 25. Public speaking is publicly public
  • 26. Voting is a privately public
  • 27. And some things are publicly private
  • 28. Your home is clearly private
  • 29. And the Constitution protects your privacy from government …
  • 30. But no Constitutional protections between citizens
  • 31. It would be nice … to use familiar framework
  • 32. Cloud banking clearly private
  • 33. Tweeting is (mostly) public
  • 34. Cloud dating is public confidential
  • 35. FIPPs
    “Privacy by Design”
    Consent unnecessary for commonly accepted practices
    Increased transparency
    Federal Trade Commission Guidance
  • 36. Confusion Matrix
  • 37. “Policy” Confusion Matrix
  • 38. Innovation
  • 39. Compliance “Evolved”
    Raw Materials
    Product Development
    Quality Acceptance
  • 40.  
    Hilary Mason’s Maxim
    Math + Code = Awesome
    Making a killing on Wall Street but still can’t impress the chicks
  • 41. Corollary to Mason’s Maxim
    Values * (Math + Code) = Awesome
  • 42. First Social Network: The Dinner Table
    We eat. We share.
  • 43. A Pescatarian Digression
  • 44. ~10,000
    (20B GB)
    Data in April 2011
    Food in April 2011
  • 45. Food Policy Leads Privacy Policy
    Peanut Butter
    Pure FoodAct
    Labeling Reform
    FTC Est.
  • 46. “Give Peas a Chance”
    Monsanto’s Corn
    Mendel’s Peas
  • 47. “Give me the bad news first, Doc”
    “CDC reports investigations of outbreaks”
    “46 states & DC require notification of a databreach. National legislation upcoming.”
  • 48. Opaque Transparency Does Not Inform
  • 49. Transparency Allows Data Driven Decisions
  • 50. =
  • 51. Control comes from Awareness
    Awareness and control of your public profile
    Privacy controls
    Reputation management
    Stay tuned …
  • 52.
  • 53. Innovation is a team sport
    Drive confluence of influencewithin your org
    Be the happy warrior
    Find clarity within confusion
    Reports of privacy’s death have been greatly exaggerated …
  • 54. Questions?
    Jim AdlerChief Privacy Officer & General Manager, Data SystemsIntelius
    twitter: @jim_adler
    Strata Conference, New YorkSeptember 2011