Online Ads Roll the Dice declares the Federal Trade Commission (FTC)

Latanya Sweeney (FTC); Online Ads Roll the Dice; In Their Blog; 2014-09-25.
Latanya Sweeney is Chief Technologist at the Federal Trade Commission (FTC)
Teaser: Online ads, exclusive online communities, and the potential for adverse impacts from big data analytics

tl;dr => content targeting is bad, audience targeting is insidious.

Original Sources

Big Data: A Tool for Inclusion or Exclusion?; workshop; Federal Trade Commission (FTC); 2014-09-15;

  • Proceedings & Media
  • Commentariat
  • Speakers
    • Kristin Amerling, Chief Investigative Counsel and Director of Oversight, U.S. Senate Committee on Commerce, Science and Transportation
    • Alessandro Acquisti, Associate Professor of Information Systems and Public Policy, Heinz College, Carnegie Mellon University and Co-director of the CMU Center for Behavioral Decision Research
    • Katherine Armstrong, Senior Attorney, Division of Privacy and Identity Protection, FTC
    • Solon Barocas, Postdoctoral Research Associate, Princeton University Center for Information Technology Policy
    • danah boyd, Principal Researcher, Microsoft Research, Research Assistant Professor, New York University
    • Julie Brill, Commissioner, Federal Trade Commission
    • Christopher Calabrese, Legislative Counsel, American Civil Liberties Union
    • Leonard Chanin, Partner, Morrison Foerster
    • Daniel Castro, Senior Analyst, Information Technology and Innovation Foundation
    • Pamela Dixon, Founder and Executive Director, World Privacy Forum,
    • Cynthia Dwork, Distinguished Scientist, Microsoft Research
    • Mallory Duncan, Senior Vice President and General Counsel, National Retail Federation
    • Patrick Eagan-Van Meter, Program Specialist, Division of Financial Practices, FTC
    • Jeanette Fitzgerald, General Counsel and Chief Privacy Officer, Epsilon
    • Tiffany George, Senior Attorney, Division of Privacy & Identity Protection, FTC
    • Jeremy Gillula, Staff Technologist, Electronic Frontier Foundation
    • Gene Gsell, Senior Vice President, U.S. Retail & CPG, SAS
    • Mark MacCarthy, Vice President for Public Policy, Software Information Industry Association
    • Carol Miaskoff, Assistant Legal Counsel, Office of Legal Counsel, Equal Employment Opportunity Commission
    • Montserrat Miller, Partner, Arnall Golden Gregory LLP,
    • Christopher Olsen, Assistant Director, Division of Privacy and Identity Protection, FTC
    • C. Lee Peeler, President and CEO of the Advertising Self-Regulatory Council and, Executive Vice President, National Advertising Self-Regulation, Council of Better Business Bureaus
    • Stuart Pratt, President and CEO, Consumer Data Industry Association
    • Edith Ramirez, Chairwoman, Federal Trade Commission
    • Jessica Rich, Director, Bureau of Consumer Protection, Federal Trade Commission
    • David Robinson, Principal, Robinson + Yu
    • Michael Spadea, Director, Promontory Financial Group
    • Latanya Sweeney, Chief Technologist, Federal Trade Commission
    • Peter Swire, Professor of Law and Ethics, Scheller College of Business, Georgia Institute of Technology
    • Nicol Turner-Lee, Vice President and Chief Research & Policy Officer, Minority Media and Telecommunications Council
    • Joseph Turow, Professor, Annenberg School for Communication, University of Pennsylvania
    • Christopher Wolf, Senior Partner, Hogan Lovells, Founder and Chair, Future of Privacy Forum, Chair, National Civil Rights Committee, Anti-Defamation League
    • Katherine Worthman, Senior Attorney, Division of Financial Practices, FTC
    • Jinyan Zang, Research Fellow in Technology and Data Governance, Federal Trade Commission

Big Data, a Tool for Inclusion or Exclusion?; Edith Ramirez (FTC), Solon Baracas (Princeton); Workshop Slides; 36 slides.

  • A tutorial on “data mining,” i.e. what is it?
  • Claims:
    • Data mining is always & by definition a form of discrimination, by conferring upon individuals the traits of those similar to them [it is rational, statistically-based stereotyping] (slide 9)
    • Data mining can be wrong; can be skewed, can overcount, can undercount, can mis-label, can mis-classify; there be dragons here. (middle)
    • Data mining unintentionally exacerbates existing inequality; there is no ready answer (slide 25)

Latanya Sweeney, Jinyan Zang (FTC); Digging into the Data; presentation; 30 slides.

  • Subtitles (huge subtitles)
    • If the appropriateness of an advertisement for a publication depends on the nature and character of the publication, then
      how “appropriate” might big data analytics decisions be when placing ads?
    • If the appropriateness of an advertisement for a publication depends on the nature and character of the publication, then how “appropriate” might big data analytics decisions be when placing ads?
  • Contributors
    • Krysta Dummit, undergraduate, Princeton 2015.
    • Jim Graves, graduate student, Carnegie Mellon University (CMU)
    • Paul Lisker,  undergraduate, Harvard University 2016.
    • Jinyan Zang, Oliver Wyman (a consulting boutique), Harvard University 2013.
  • Mentions
  • Promise:
    • A forthcoming paper: contact Latanya Sweeny for a copy upon release

Response

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Actualities

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