• Start Date: November 11, 2020
  • End Date: November 13, 2020
  • Event Start Time: 12:00 PM
  • Event End Time: 5:00 PM
  • Organizers: David Pennock | Joshua Kroll | Joan Feigenbaum
  • Location: Online Event
  • Sophisticated computation, embedded in a variety of sociotechnical systems, has become an essential enabler of everyday life. As such systems have become more powerful and more present, the interdisciplinary research area of computer science and law has begun to take shape. This workshop will explore establishing rigorous foundations for this emerging interdisciplinary area.  It will focus on the need for co-development of computational techniques and legal principles, using the strengths of each approach to compensate for known weaknesses in both and building shared understanding, methodology, and vocabulary to improve communication and catalyze research across the two disciplines.

    The workshop will consider how to create technical definitions and solutions in concert with the creation of legal language so that the two fields can work together to solve (and proactively prevent) problems. Ideally, computer scientists and lawyers should collaborate to create legislative language and technical definitions that are consistent and that capture broadly agreed-upon principles. For example, technical considerations and definitions embedded in legislation should reflect what is technically feasible and not mandate impossible requirements, while implementations of such requirements should produce sufficient evidence that their behavior sits within stated requirements and thus complies with the law.

    The workshop will be a next step in the development of a research community in computer science and law that brings together computer scientists, statisticians, law scholars, and social scientists studying sociotechnical assemblages and their governance.

    View videos of the workshop presentations on Youtube.

    Check out the posters session:

  • Tuesday, November 10, 2020

    Workshop Talks

    12:00 PM – 12:15 PM

    Welcome and Opening Remarks

    12:15 PM – 1:00 PM

    CPU, Esq: Should Law Be More Like Software? A Fireside Chat with Solon Barocas (Microsoft Research)

    James Grimmelmann - Cornell University

    1:00 PM – 1:15 PM

    Break

    1:15 PM – 2:00 PM

    Protecting Cryptography Against Compelled Self-Incrimination

    Sarah Scheffler - Boston University

    2:00 PM – 2:45 PM

    Beyond Talismanic Governance: The Utility of Structured Disclosures about Software Systems

    Joshua Kroll - Naval Postgraduate School

    2:45 PM – 3:00 PM

    Break

    3:00 PM – 4:00 PM

    Career Opportunities Panel. Moderated by Joan Feigenbaum (Yale University)

    Lisa Zhang - Nokia Bell Labs , Janice Tsai - Mozilla , Reggie Sheehan - National Science Foundation , Paul Ohm - Georgetown University , Ron Hedges - Dentons , Stacey Dogan - Boston University , Solon Barocas - Microsoft Research

    Solon Barocas, Microsoft Research

    Stacey Dogan, Boston University
    Paul Ohm, Georgetown University

    Reggie Sheehan, National Science Foundation

    Janice Tsai, worked at Mozilla and Microsoft

    Lisa Zhang, Bell Labs

    4:00 PM – 4:15 PM

    Break

    4:15 PM – 5:00 PM

    Proving Legal Theorems

    Aloni Cohen - Boston University

    Wednesday, November 11, 2020

    Workshop Talks

    12:00 PM – 12:45 PM

    What Cybersecurity Policy Would Look Like if We Could Actually Measure Cyber Risk

    Daniel Weitzner - Massachusetts Institute of Technology

    12:45 PM – 1:30 PM

    Intellectual Debt: What's Wrong When Machine Learning Gets It Right

    Jonathan Zittrain - Harvard University

    1:30 PM – 2:30 PM

    Verifying Algorithmic Claims: Legal Significance?

    Shafi Goldwasser - University of California, Berkeley

    2:30 PM – 3:00 PM

    Break and Social Gathering

    3:00 PM – 4:00 PM

    Data Co-Ops: Challenges, and How to Get There

    Kobbi Nissim - Georgetown University , Katrina Ligett - Hebrew University of Jerusalem

    4:00 PM – 4:30 PM

    Lightning Talks and Poster Previews

    Lightning Talks

    Data Monopolies: How to Decentralize Big Tech with Privacy-Enhancing Technologies
    Sunny Seon Kang

    Ad Delivery Algorithms: The Hidden Arbiters of Exposure to Opportunities and Political Messaging
    Aleksandra Korolova, University of Southern California

    The Problem of Unduly Accurate Algorithms
    Aileen Neilsen, Center for Law and Economics, ETH Zurich


    Posters

    Fighting Deep-Fake Misinformation
    Shruti Agarwal, University of California, Berkeley

    Digital Forensics use in Westlaw Descriptions of Federal Criminal Court Case Decisions
    Ryan Aponte, University of Florida

    Addressing Personalization in the Data Ecosystem; Lessons from the Insurance Market
    Ayelet Gordon-Tapiero

    Abradable Key Wrapping
    Scott Griffy, Intel

    Data Science Meets Law: Learning Responsible AI Together
    Shlomi Hod, Boston University

    Heuristic Models, Assumptions, and Parameters
    Samuel Judson, Yale University

    Ensuring Fairness in the Absence of Protected Group Membership Information
    Vijay Keswani, Yale University

    Mitigating Bias in Set Selection with Noisy Protected Attributes
    Anay Mehrotra, Yale University

    ‘Time Capsule’ Archiving Through Strong Dark Archives (SDA): Designing Trustable Distributed Archives for Sensitive Materials
    Jayshree Sarathy, Harvard University

    Census Top-Down and the Impact on Redistricting
    Bhushan Suwal, Tufts University

    Formalizing a Right to be Forgotten
    Marika Swanberg, Boston University

    4:30 PM – 5:30 PM

    Poster Session

    5:30 PM – 6:00 PM

    Social Event

    Thursday, November 12, 2020

    Workshop Talks

    12:00 PM – 12:45 PM

    Assessing the Reliability of Clothing-Based Forensic Identification

    Hany Farid - University of California, Berkeley

    12:45 PM – 1:30 PM

    Automated Contact Tracing: Individualism, Society, Law and Technology in an Aerosol Droplet

    Ran Canetti - Boston University

    1:30 PM – 2:00 PM

    Break

    2:00 PM – 2:45 PM

    Surveillance, Privacy and Social Control

    Marilyn George - Brown University

    2:45 PM – 3:30 PM

    Explainability, Novelty, and Intent

    Patrick Shafto - Rutgers University

    3:30 PM – 4:00 PM

    Break

    4:00 PM – 5:00 PM

    Conclusion, Discussion, and Follow Up Plans

  • Event Grant: <hr /> This workshop is presented with support from the National Science Foundation under grant number IIS-1933535 to Yale University. The opinions, findings, and conclusions or recommendations expressed are those of the participant(s) and do not necessarily reflect the views of the National Science Foundation.
  • This will be an online workshop.  Attendance is free and open to the public, but registration is required. Please register through the button at the bottom of the page.

     

    Presentations are by invitation. Additionally, we invite poster presentations and lightning talks. Posters or lightning talks about completed work (published or to be published), work in progress, and open questions are all welcome.

     

    Submission of posters is open to students and postdocs only. Poster presenters will each have the opportunity to introduce their poster in a two-minute talk at the start of the poster session. An online version of a traditional poster session will follow these two-minute talks. Anyone may submit a lightning talk. Lightning talks may be up to two minutes long.

     

    The submission deadline was November 2, 2020, so submissions are now closed.