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via Strategist http://blogs.findlaw.com/strategist/2013/10/what-effect-will-big-data-tracking-case-outcomes-have-on-you.html
Dr. Adam Wyner of the University of Aberdeen and Dr. Guido Governatori of NICTA have posted A Study on Translating Regulatory Rules from Natural Language to Defeasible Logic , a paper presented in the special track on Human-Rules at RuleML 2013: The 7th International Web Rule Symposium, held 11-13 July 2013, in Seattle, Washington, USA.
Here is the abstract:
Legally binding regulations are expressed in natural language. Yet, we cannot formally or automatically reason with regulations in that form. Defeasible Logic has been used to formally represent the semantic interpretation of regulations; such representations may provide the abstract specification for a machine-readable and processable representation as in LegalRuleML. However, manual translation is prohibitively costly in terms of time, labour, and knowledge. The paper discusses work in progress using the state-of-the-art in automatic translation of a sample of regulatory clauses to a machine readable formal representation and a comparison to correlated Defeasible Logic representations. It outlines some key problems and proposes tasks to address the problems.
HT Adam Wyner
Professor Josh Blackman of South Texas College of Law has posted The Path of Big Data and the Law , a chapter in the forthcoming book entitled Big Data and the Law (West Academic Press, 2014).
Here is the abstract:
Advances in artificial intelligence are transforming many aspects of our society, from Google’s autonomous cars to IBM’s Watson defeating the Jeopardy! world champion. The legal profession, as well, is evolving from today’s time-consuming, customized labor-intensive legal market to tomorrow’s on-demand, commoditized legal services market. Today, the legal services industry is standing at the dawn of what Professor Larry Ribstein referred to as Law’s Information Revolution. The promise of this revolution is the intersection, if not the collision, of the power of big data, and the law.
This essay opens the first chapter in this process, and sets forth an agenda of issues to consider as the intersection between law, technology, and justice merges. First, I break down the role of the lawyer, and posit how these familiar tasks can be automated. Next, I explore the ethical, jurisprudential, and regulatory implications of algorithms offering legal services. I conclude by offering a sketch of what the law offices of Robot, Esq. will be like.
Deutscher EDV-Gerichtstag 2013 was held 25-27 September 2013 in Saarbrücken.
The theme of the conference was: Vom elektronischen Rechtsverkehr zur elektronischen Justiz?
Click here for the conference program.
The Twitter hashtags for the conference were #edvgt2013 and #edvgt
Click here for archived Twitter tweets from the conference, in .csv format.
Posts summarizing the conference panels and papers are available at LAWgical .