Solon Barocas

Postdoctoral Research Associate, Center for Information Technology Policy, Princeton University

Solon Barocas is Postdoctoral Research Associate at the Center for Information Technology Policy at Princeton University. He completed my doctorate in the Department of Media, Culture, and Communication at New York University, during which time he was also a Student Fellow at the Information Law Institute at the School of Law and a member of the Institute’s Privacy Research Group.

Solon has worked with the Intel Science & Technology Center for Social Computing under its Algorithmic Living research theme, the Berkman Center for Internet and Society at Harvard University on the Global Network Initiative, the Center for Global Communication Studies at the University of Pennsylvania on NGOs as information intermediaries, and the Stern School of Business at New York University on its Social Impact program.

Solon has an MSc in International Relations from the London School of Economics and graduated from Brown University with a BA in International Relations and Modern Culture and Media, where he worked on the Information Technology, War, and Peace project at the University’s Watson Institute for International Studies.

@S010N  
http://solon.barocas.org/  

Projects

 

Journal Articles and Papers

Primers

Op-eds and Blog Posts

Testimony, Interviews, Presentations

Related Events

  • 04.24.18  |  Digital Life Seminar Series

  • 02.23.18  |  Conference on Fairness, Accountability, and Transparency (FAT*)

  • 11.17.17  |  After the Digital Tornado: Networks, Algorithms, and Humanity

  • 09.28.17  |  The Computer Says No: The Bad News About Online Discrimination in Algorithmic Systems

  • 06.01.17  |  Privacy Law Scholars Conference 2017

  • 04.27.17  |  Algorithms and Explanations

  • 03.31.17  |  WeRobot 2017

  • 02.28.17  |  Artificial Intelligence, Machine Learning, and Law in the Financial Services Sector

  • 02.23.17  |  Big Data and Artificial Intelligence: The Human Rights Dimension for Business

  • 02.09.17  |  Taking Explanation Seriously in Law and Machine Learning

  • 01.31.17  |  Breaking the Black Box: How Algorithms Make Decisions About You

  • 11.19.16  |  Workshop on Data and Algorithmic Transparency

  • 11.18.16  |  Fairness, Accountability, and Transparency in Machine Learning 2016

  • 10.19.16  |  What’s the Big Deal with Big Data?

  • 09.22.16  |  The Internet, Policy & Politics Conference: Online Gig Economy

  • 06.02.16  |  9th Annual Privacy Law Scholars Conference

  • 05.19.16  |  Ethics in Designing the Data Interventions

  • 04.29.16  |  How Big Data Discriminates

  • 04.25.16  |  Global Digital Futures Policy Forum 2016

  • 04.20.16  |  How Machines Learn to Discriminate

  • 04.15.16  |  Theorizing the Web 2016

  • 04.02.16  |  Unlocking the Black Box: The Promise and Limits of Algorithmic Accountability in the Professions

  • 03.21.16  |  Tyranny of the Algorithm? Predictive Analytics & Human Rights

  • 02.26.16  |  Who Controls the Public Sphere in an Era of Algorithms?

  • 11.19.15  |  Responsible Use of Open Data in Government and the Private Sector

  • 11.10.15  |  Solon Barocas – Leaps and Bounds: Toward a Normative Theory of Inferential Privacy

  • 11.06.15  |  Big Data & Risk

  • 10.22.15  |  DataKind and Microsoft Technology & Civic Engagement present Machine Eatable

  • 07.11.15  |  2nd Workshop on Fairness, Accountability, and Transparency in Machine Learning

  • 04.17.15  |  Theorizing the Web 2015

  • 03.23.15  |  Discrimination in the Age of Big Data

  • 02.28.15  |  Algorithms and Accountability

  • 12.12.14  |  Fairness, Accountability, and Transparency in Machine Learning

  • 12.09.14  |  Designing an Inclusive Digital World

  • 09.15.14  |  Big Data: A Tool for Inclusion or Exclusion?

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