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CSLAW 2022: ACM Symposium on Computer Science and Law
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Washington DC, USA
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As sophisticated computation has become essential in more and more fields of human endeavor, interdisciplinary research has grown in importance. The interdisciplinary research area of computer science and law has risen to prominence recently and been showcased in, e.g., the 2019 Inaugural ACM Symposium on Computer Science and Law, the 2020 Simons Institute Workshop on Algorithm Design, Law, and Policy, the 2020 DIMACS workshop on Co-Development of Computer Science and Law, and annual meetings such as the Symposium on the Foundations of Responsible Computing, the ACM Conference on Artificial Intelligence, Ethics and Society, and the ACM Conference on Fairness, Accountability, and Transparency.

Computer scientists have often treated law as though it can be reduced purely to a finite set of rules about which the only meaningful computational questions are those of decidability and complexity. Similarly, legislators and policy makers have often advocated general, imprecisely defined requirements and assumed that the tech industry could solve whatever technical problems arose in the design and implementation of products and services that conform to those requirements. Central to the study of “computer science and law” is the replacement of these limited, disciplinary approaches with an emphasis on interdisciplinary research and development. Ideally, computer scientists and lawyers should collaborate to create legislative language and technical definitions that are consistent and that capture broadly agreed-upon principles. Existing work on privacy, fairness, freedom of expression, and other essential social values demonstrates the importance of interdisciplinarity and provides examples of both success and failure in its execution.

Topics of interest include but are not limited to:

    Automation of legal reasoning
    Cyber espionage, cyber war, and cyber diplomacy
    Cybersecurity regulation, computer crime, online law enforcement, and digital forensics
    Digital intellectual property
    Encryption and lawful surveillance
    Fairness and accountability in machine learning, data analytics, and automated decision making
    Human-rights law and computer science
    Legal and public-policy aspects of network measurement and network architecture
    Legal aspects of open-source software
    Online market structure, platform monopolies, and antitrust law
    Platform governance, content moderation, disinformation, and freedom of online expression
    Privacy and data protection
    Public ledgers, cryptocurrencies, and smart contracts
    Regulation of and liability for artificial intelligence
Last updated by Dou Sun in 2022-01-28
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