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CSLAW 2022: Washington, DC, USA
- Daniel J. Weitzner, Joan Feigenbaum, Christopher S. Yoo:

Proceedings of the 2022 Symposium on Computer Science and Law, CSLAW 2022, Washington DC, USA, November 1-2, 2022. ACM 2022, ISBN 978-1-4503-9234-1 - A. Feder Cooper, Jonathan Frankle, Christopher De Sa:

Non-Determinism and the Lawlessness of Machine Learning Code. 1-8 - Dor Bitan, Ran Canetti, Shafi Goldwasser, Rebecca Wexler:

Using Zero-Knowledge to Reconcile Law Enforcement Secrecy and Fair Trial Rights in Criminal Cases. 9-22 - Aloni Cohen

, Sarah Scheffler
, Mayank Varia:
Can the Government Compel Decryption?: Don't Trust - Verify. 23-36 - Sarah Scheffler

, Eran Tromer, Mayank Varia:
Formalizing Human Ingenuity: A Quantitative Framework for Copyright Law's Substantial Similarity. 37-49 - Azer Bestavros, Stacey Dogan, Paul Ohm, Andrew Sellars:

Bridging the Computer Science - Law Divide: Recommendations from the Front Lines. 51-52 - Julissa Milligan Walsh, Mayank Varia, Aloni Cohen

, Andrew Sellars, Azer Bestavros:
Multi-Regulation Computing: Examining the Legal and Policy Questions That Arise From Secure Multiparty Computation. 53-65 - Jinshuo Dong, Jason D. Hartline, Aravindan Vijayaraghavan:

Classification Protocols with Minimal Disclosure. 67-76 - Aniket Kesari

:
The Privacy-Fairness-Accuracy Frontier: A Computational Law & Economics Toolkit for Making Algorithmic Tradeoffs. 77-85 - Peter Henderson, Ben Chugg, Brandon R. Anderson, Daniel E. Ho

:
Beyond Ads: Sequential Decision-Making Algorithms in Law and Public Policy. 87-100 - Moon Duchin

, Douglas Spencer:
Blind Justice: Algorithms and Neutrality in the Case of Redistricting. 101-108 - Jason D. Hartline, Daniel W. Linna Jr., Liren Shan, Alex Tang:

Algorithmic Learning Foundations for Common Law. 109-117 - Ayelet Gordon-Tapiero, Alexandra Wood, Katrina Ligett:

The Case for Establishing a Collective Perspective to Address the Harms of Platform Personalization. 119-130 - Joshua Bloch, Pamela Samuelson:

Some Misconceptions about Software in the Copyright Literature. 131-141 - Fabian Burmeister, Mickey Zar, Tilo Böhmann

, Niva Elkin-Koren, Christian Kurtz, Wolfgang Schulz:
Toward Architecture-Driven Interdisciplinary Research: Learnings from a Case Study of COVID-19 Contact Tracing Apps. 143-154 - James Grimmelmann:

Programming Languages and Law: A Research Agenda. 155-165 - Ero Balsa, Helen Nissenbaum, Sunoo Park:

Cryptography, Trust and Privacy: It's Complicated. 167-179 - Johanna Gunawan, Cristiana Teixeira Santos, Irene Kamara

:
Redress for Dark Patterns Privacy Harms? A Case Study on Consent Interactions. 181-194

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