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Strata Conference NY: The Accidental Chief Privacy Officer
 

Strata Conference NY: The Accidental Chief Privacy Officer

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Strata Conference ...

Strata Conference
New York
September 23, 2011
http://strataconf.com/stratany2011/public/schedule/detail/21484
http://youtu.be/PKUI9iz0l9g

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

    • Austin Alleman@allemanau
      The Accidental Chief Privacy Officer
      Jim AdlerChief Privacy Officer & General Manager, Data SystemsIntelius
      twitter: @jim_adlerhttp://jimadler.me
      Strata Conference, New YorkSeptember 2011
    • 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
    • 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
    • “Dennis Rodman” Profile
    • Intelligence
      I am not an
      Attorney
      Geek
      Dweeb
      Nerd
      SocialIneptitude
      Obsession
      Dork
    • Mark Zuckerberg
      Real Names
      Richard Feynman
      Physics
      Norio Ohga
      Sony President
      74 min CD
      Jeff Jonas
      Big Data
      Privacy by Design
      Steve Jobs
      ‘nuff said
      Eclectic Innovators
    • Agenda
      Innocence
      Frontier
      Regulation
      Innovation
      Austin Alleman@allemanau
    • Frontier
    • The surface web is small…
      167 Terabytes
    • Compared to the deep web…
      91,000 Terabytes
    • ~20Exabytes
      (20B GB)
      Data from
      dawn of civilization
      through 2002
      Data from
      April 2011
    • 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
      Research
      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
      Sharing
      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
      Regulated
      For lots of reasons… (some regulated)
    • 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
    • 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
    • A Prescient Venn Diagram?
    • Innocence
    • When towns were small …
    • “The only thing worse than being talked about, is not being talked about.”− Oscar Wilde
      Density↓ ->Anonymity↓ ->Privacy Expectation↓
    • “Good Fences Make Good Neighbors” - Mending Wall, Robert Frost
      Density↑ ->Anonymity↑ ->Privacy Expectation↑
    • “In times of rapid change, experience could be your worst enemy.” − J. Paul Getty
      #@?$!!
      “Privacy Vertigo”
      Density↓ ->Anonymity↓ ->Privacy Expectation↓
    • What’s in a Nym?
      Source: Intelius
    • Regulation
    • So, how do we think about public and private now?
    • Public speaking is publicly public
    • Voting is a privately public
    • And some things are publicly private
    • Your home is clearly private
    • And the Constitution protects your privacy from government …
    • But no Constitutional protections between citizens
    • It would be nice … to use familiar framework
    • Cloud banking clearly private
    • Tweeting is (mostly) public
    • Cloud dating is public confidential
    • FIPPs
      “Privacy by Design”
      Consent unnecessary for commonly accepted practices
      Increased transparency
      Federal Trade Commission Guidance
    • Confusion Matrix
      Predicted
      Actual
    • “Policy” Confusion Matrix
      Regulations
      Violations
    • Innovation
    • Compliance “Evolved”
      Raw Materials
      CPO
      Product Development
      Marketing
      Quality Acceptance
      Release
      Compliance
    •  
      Hilary Mason’s Maxim
      Math + Code = Awesome
      Quants
      Making a killing on Wall Street but still can’t impress the chicks
      Weakonomics.com
    • Corollary to Mason’s Maxim
      Values * (Math + Code) = Awesome
    • First Social Network: The Dinner Table
      We eat. We share.
    • A Pescatarian Digression
    • ~10,000
      GCal
      ~20Exabytes
      (20B GB)
      Data in April 2011
      Food in April 2011
    • Food Policy Leads Privacy Policy
      Peanut Butter
      Hearings
      Pure FoodAct
      Labeling Reform
      FTC Est.
      CivilRights
      “SnakeOil”
      GMO
      Social
      MediaAdoption
      “RobberBarons”
      Packaged
      Foods
      FCRA
    • “Give Peas a Chance”
      Monsanto’s Corn
      Mendel’s Peas
      ?
      =
    • “Give me the bad news first, Doc”
      =
      “CDC reports investigations of outbreaks”
      “46 states & DC require notification of a databreach. National legislation upcoming.”
    • Opaque Transparency Does Not Inform
    • Transparency Allows Data Driven Decisions
    • =
      YOU
      %
      %
      %
      %
      %
      %
    • Control comes from Awareness
      TrueRep.com
      Awareness and control of your public profile
      Privacy controls
      Reputation management
      Stay tuned …
    • 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 …
    • Questions?
      Jim AdlerChief Privacy Officer & General Manager, Data SystemsIntelius
      twitter: @jim_adlerhttp://jimadler.me
      Strata Conference, New YorkSeptember 2011