Communication Models in Law1
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A Philosophy of Technology for Computational Law
© Mireille Hildebrandt, draft chapter for OUP’s The Philosophical Foundations of Information Technology Law, eds. David Mangan, Catherine Easton, Daithí Mac Síthigh A philosophy of technology for computational law Abstract: This chapter confronts the foundational challenges posed to legal theory and legal philosophy by the surge of computational law. Two types of computational law are at stake. On the one hand we have artificial intelligence in the legal realm that will be addressed as data-driven law, and on the other hand we have the coding of self-executing contracts and regulation in the blockchain, as well as other types of automated decision making (ADM), addressed as code-driven law. Data-driven law raises problems due to its autonomic operations and the ensuing opacity of its reasoning. Code-driven law presents us with a conflation of regulation, execution and adjudication. Though such implications are very different, both types of computational law share assumptions based on the calculability and computability of legal practice and legal research. Facing the assumptions and implications of data- and code-driven law the chapter will first investigate the affordances of current, text-driven law, and relate some of the core tenets of the Rule of Law to those affordances. This will lead to an enquiry into what computational law affords in terms of legal protection, assuming that one of the core functions of the law and the Rule of Law is to protect what is not computable. Keywords: positive law, rule of law, legal certainty, justice, -
Legal Technology & Informatics: Syllabus
Legal Technology & Informatics: Syllabus Think Outside The Bar Notre Dame Law School Spring Semester, 2015 Ron Dolin, JD, PhD, CoInstructor Jason Boehmig, JD, CoInstructor Synopsis: Legal technology is rapidly transforming both the practice and nature of law. This class seeks to explore both the current trends and the future possibilities of this transformation, as we begin to train the future generation of technology savvy lawyers, and technologists who understand the intricacies and potential of what the law could be. Legal informatics could be defined as a computational perspective of law: where does legal information reside, and how is it manipulated and transmitted? Note that there are no prerequisites for this class beyond an interest in the subject. There are numerous examples of technologically driven legal transformation. Case law search has moved from hard copy to closed digital systems such as Westlaw and LexisNexis, and into free cloudbased systems such as Google Scholar and Ravel Law. More and more statutes are available online. Changes can be seen in ediscovery, privacy, the delivery of (online) legal services, and the budding legal technology startup community. As a result, questions arise as to the proper statutory and ethical framework for the legal profession and the boundaries between humans and machines in implementing legal functions. Beyond the current and nearterm technologies, however, are core academic and philosophical questions that will have increasing import as machines gain in sophistication and capability. -
Communication Theory and the Disciplines JEFFERSON D
Communication Theory and the Disciplines JEFFERSON D. POOLEY Muhlenberg College, USA Communication theory, like the communication discipline itself, has a long history but a short past. “Communication” as an organized, self-conscious discipline dates to the 1950s in its earliest, US-based incarnation (though cognate fields like the German Zeitungswissenschaft (newspaper science) began decades earlier). The US field’s first readers and textbooks make frequent and weighty reference to “communication theory”—intellectual putty for a would-be discipline that was, at the time, a collage of media-related work from the existing social sciences. Soon the “communication theory” phrase was claimed by US speech and rhetoric scholars too, who in the 1960s started using the same disciplinary label (“communication”) as the social scientists across campus. “Communication theory” was already, in the organized field’s infancy, an unruly subject. By the time Wilbur Schramm (1954) mapped out the theory domain of the new dis- cipline he was trying to forge, however, other traditions had long grappled with the same fundamental questions—notably the entwined, millennia-old “fields” of philos- ophy, religion, and rhetoric (Peters, 1999). Even if mid-century US communication scholars imagined themselves as breaking with the past—and even if “communica- tion theory” is an anachronistic label for, say, Plato’s Phaedrus—no account of thinking about communication could honor the postwar discipline’s borders. Even those half- forgotten fields dismembered in the Western university’s late 19th-century discipline- building project (Philology, for example, or Political Economy)haddevelopedtheir own bodies of thought on the key communication questions. The same is true for the mainline disciplines—the ones we take as unquestionably legitimate,thoughmostwereformedjustafewdecadesbeforeSchramm’smarch through US journalism schools. -
Dan Katz on Legal Informatics, Corporate Law Firm Ownership and 21St Century Legal Education September 20, 2011 Dan Katz
Dan Katz on Legal Informatics, Corporate Law Firm Ownership and 21st Century Legal Education September 20, 2011 Dan Katz A recent article argues “65 percent of today’s elementary aged kids may end up doing work that hasn’t even yet been invented.” This is a thought provoking number and it points to the disruptive nature of innovation and its impact on a variety of labor markets. There is a portion of the downturn in legal hiring that is associated with the business cycle. When economic conditions improve – there should be a rebound. However, starting even before the recession, it is reasonably clear that a serious structural change was underway. Expect this broader trend to continue. As Bruce H. Kobayashi & Larry E. Ribstein have argued, we are at the very beginning of Law’s Information Revolution. Whether we like it or not, informatics, computing and technology are going to change both what it means to practice law and to “think like a lawyer.” Yesterday’s Fast is Today’s Slow: For better or for worse, when it comes to building software, there is nothing deeply exceptional about a subset of tasks undertaken by lawyers. In this vein, law is like other industries. The bundle of skills associated with the practice of law falls on a continuum – where a number of basic tasks have already been displaced by computation / automation / “soft” artificial intelligence. Faced with cost pressures, legal information technology is being leveraged to either automate or semi-automate tasks previously performed by teams of lawyers. Namely, a series of first generation innovations such as e-discovery and automated document generation have already imposed significant consequences on the legal services market. -
A Comparison of Four Ontologies for the Design of Legal Knowledge Systems ?
Artificial Intelligence and Law 6: 27–57, 1998. 27 © 1998 Kluwer Academic Publishers. Printed in the Netherlands. A Comparison of Four Ontologies for the Design of Legal Knowledge Systems ? PEPIJN R. S. VISSER and TREVOR J. M. BENCH-CAPON LIAL – Legal Informatics at Liverpool, Department of Computer Science, University of Liverpool, P.O. Box 147, Liverpool, L69 7ZF, United Kingdom, (+44) 151 - 794 3792, E-mail: {pepijn, tbc}@csc.liv.ac.uk Abstract. There is a growing interest in how people conceptualise the legal domain for the purpose of legal knowledge systems. In this paper we discuss four such conceptualisations (referred to as on- tologies): McCarty’s language for legal discourse, Stamper’s norma formalism, Valente’s functional ontology of law, and the ontology of Van Kralingen and Visser. We present criteria for a comparison of the ontologies and discuss the strengths and weaknesses of the ontologies in relation to these criteria. Moreover, we critically review the criteria. 1. Introduction In the Oxford dictionary the word ontology is defined as the branch of metaphysics dealing with the nature of being (Allen, 1990). The word ontology is used in AI research as well, although its meaning in the latter field is only remotely related to the original metaphysical meaning of the word†. In the latter field, ontologies are loosely defined as ‘explicit conceptualisations of a domain’ (Gruber, 1992). Recently the results of gathering explicit conceptualisations of knowledge-system domains has been recognised as a valuable effort in its own right, deserving of widespread attention (e.g., Wiederhold, 1994, p. 7). This trend can also be seen in the legal domain, for instance, Moles and Dayal argue that researchers in the field of AI and Law should study the (implicit) ‘assumptions being made about the nature of law’ (Moles & Dayal, 1992, p. -
Models of Communication: Theoretical and Philosophical Approaches ECREA Philosophy of Communication Workshop Vilnius, 8-10 October 2015
Models of Communication: Theoretical and Philosophical Approaches ECREA Philosophy of Communication Workshop Vilnius, 8-10 October 2015 More info: http://philosophyofcommunication.eu/ It is often claimed that the early phases of media and communication studies were dominated by a linear conception of communication, modelled as a process of transmission. The hegemony of this model may have been exaggerated – it never prevailed in studies of interpersonal communication, for instance – but it has undeniably provided a favourite target for critics of various stripes. While some communication theorists have proposed elaborations of the well- known sender-message-receiver schema, others have argued for more radical revisions of modelling rooted in e.g. semiotics, constructivism, and the ritual view of communication. At the same time, scepticism regarding the very notion of a model of communication has grown stronger; and in recent decades, the focus has often switched from first-level conceptions to second-order “meta-models” of the constellations of communication theory. What is the status and relevance of communication models today? The proliferation of new forms of mediated communication seems to require new ways of making sense of a complex and rapidly moving field. Can the established perspectives provide adequate platforms from which to address emerging questions of “social media” and “big data”? Are we actually witnessing a revival of information-theoretical perspectives in the wake of the advance of computer-mediated communications? Should models of media and communication be descriptive or prescriptive? What, if any, exemplars should provide the basis for a future media and communications curriculum? What is their scholarly, scientific, and heuristic value? For this workshop, we invite proposals that explore new models of communication and investigate various aspects of model construction as well as contributions that scrutinise the use and misuse of models in communication theory and education. -
Encompassing the Scope of Western Models of Communication
Volume : 4 | Issue : 9 | Sept 2015 ISSN - 2250-1991 Research Paper English Encompassing the Scope of Western Models of Communication Research Scholar – Rai University & Associate Professor Dharnat B. Bandhiya Prin. MC Shah Commerce College, Ahmedabad Research Supervisor & Assistant Professor, Atmiya Institute of Dr Alpesh Joshi Technology & Science, Rajkot – 360 005, Gujarat We teach the same models of communication today that we taught forty years ago. This can and should be regarded as a mark of the enduring value of these models in highlighting key elements of that process for students who are taking the process apart for the first time. It remains, however, that the field of communication has evolved considerably since the 1960’s, and it may be appropriate to update our models to account for that evolution. This paper presents the classic communication models that are taught in introducing students to interpersonal communication and mass communication. It then introduces a new model of communication that, it is hoped, more closely maps to the range of materials we teach ABSTRACT and research in the field of communication today. This model attempts to capture the fundamental interaction of language, medium, and message that enables communication, the socially constructed aspects of each element, and the relationship of creators and consumers of messages both to these elements and each other. KEYWORDS The Lasswell model of the Communication Process good’s definition is an illustration. In the most general sense, Western theories and models of communication have their or- he explains, we communicate whenever one (the system), (the igin in Aristotle’s Rhetoric. -
Communication Today
1 Communication today COPYRIGHTED MATERIAL c01CommunicationToday.indd 2 10/12/15 5:13 PM LEARNING OBJECTIVES After studying this chapter, you should be able to: ■ explain the difference between communication and communications ■ discuss the strengths and weaknesses of various communication models ■ explain why communication breaks down and why it succeeds ■ explain the limitations of communication processes. c01CommunicationToday.indd 3 10/12/15 5:13 PM One communication, two communications What is communication? Look it up in a library catalogue or an online bookstore and you could easily become confused. For example, you might be interested in finding out about public speaking or body language or journalism but find that your search is impeded by numerous entries for books on electronics. Or you might be researching the physics of the internet or telephones but instead find countless entries for books on negotiation, public relations and writing skills. So what’s going on? Right from the start — ironically enough — we find confusing communications about communication. The first task, then, is to establish the differences Communication is a between these two concepts. challenging concept, Communication (singular), as applied to human interaction, includes: with a search on ■■ body language or nonverbal communication ‘communication’ likely to ■■ bring up topics as diverse public speaking and presentation skills as team communication, ■■ journalism or writing for the mass media body language and ■■ graphic communication electronics. ■■ -
Model and Autonomous Levels of AI Legal Reasoning
AI and Legal Argumentation: Aligning the Autonomous Levels of AI Legal Reasoning Dr. Lance B. Eliot Chief AI Scientist, Techbruim; Fellow, CodeX: Stanford Center for Legal Informatics Stanford, California, USA Abstract concerning how to best undertake legal argumentation Legal argumentation is a vital cornerstone of justice, and how to gauge when legal argumentation is being underpinning an adversarial form of law, and accomplished well or performed poorly [10] [41] [46]. extensive research has attempted to augment or undertake legal argumentation via the use of Taking a brief side tangent for purposes of definitional computer-based automation including Artificial clarity, there is pervasive ambiguity about the meaning Intelligence (AI). AI advances in Natural Language of the phrase “legal argumentation” as to its exact Processing (NLP) and Machine Learning (ML) have definition and denotations. Likewise, the phrase “legal especially furthered the capabilities of leveraging AI argument” also has varied connotations. To make this for aiding legal professionals, doing so in ways that discussion relatively parsimonious, this paper are modeled here as CARE, namely Crafting, considers that “legal argumentation” shall herein refer Assessing, Refining, and Engaging in legal to the broadest scope of all facets involved in the act of argumentation. In addition to AI-enabled legal argumentation within the field of law. Meanwhile, the argumentation serving to augment human-based phrase “legal argument” will be reserved for use when lawyering, an aspirational goal of this multi- discussing a particular instance or sub-element within disciplinary field consists of ultimately achieving the umbrella of legal argumentation. It is hoped that autonomously effected human-equivalent legal this will enable the discussion to be more readily argumentation. -
An Ontological AI-And-Law Framework for the Autonomous Levels of AI Legal Reasoning
An Ontological AI-and-Law Framework for the Autonomous Levels of AI Legal Reasoning Dr. Lance B. Eliot Chief AI Scientist, Techbruim; Fellow, CodeX: Stanford Center for Legal Informatics Stanford, California, USA Abstract At the core of the law is the human cognitive aspects for A framework is proposed that seeks to identify and establish legal reasoning [62], and it is presumed that legal reasoning a set of robust autonomous levels articulating the realm of ultimately underlies all the salient acts of studying, convey- Artificial Intelligence and Legal Reasoning (AILR). Doing ing, and undertaking the practice of law [35] [36]. As such, so provides a sound and parsimonious basis for being able AI as applied to the law is predominantly about the nature to assess progress in the application of AI to the law, and of legal reasoning and how this cognitive act can be under- can be utilized by scholars in academic pursuits of AI legal taken by a computer-based system. Aptly stated by Ghosh reasoning, along with being used by law practitioners and [33]: “AI & Law is a subfield of AI research that focuses on legal professionals in gauging how advances in AI are aid- designing computer programs, or computational models, ing the practice of law and the realization of aspirational that perform or simulate legal reasoning. In other words, AI versus achieved results. A set of seven levels of autonomy & Law is the field of modeling computationally the legal for AI and Legal Reasoning are meticulously proffered and reasoning for the purpose of building tools for legal prac- mindfully discussed. -
Feedback Tutorial Letter 1 Semester 2017 Assignment 1 Introduction to Communication Ico511s
FEEDBACK TUTORIAL LETTER 1st SEMESTER 2017 ASSIGNMENT 1 INTRODUCTION TO COMMUNICATION ICO511S 1 cENTRE FOR OPEN AND LIFELONG LEARNING INTRODUCTION TO COMMUNICATION 1B (ICO511S) FEEDBACK TUTORIAL LETTER ASSIGNMENT 2 May 2017 Dear Student, Assignment 2 comprised of two questions, 1 and 2. Question 1 required you to write an essay. When you are asked to write an essay, have a short introduction (first paragraph), then proceed to discuss each point in its own paragraph. And have a sentence or two to conclude your essay. 1. Write an essay comparing and contrasting the models of communication given below. When you are contrasting and comparing, you look for similarities and differences. You need to use your own words as much as possible. Do not write more than 500 words /25/ a. The Linear Model b. The Interactional Model c. The Transactional Model In this question, 3 marks are for the introduction paragraph, 15 marks are for content and language while the remaining 2 marks are allocated t the concluding paragraph. Linda Mupupa’s modified essay below closely models the required essay: The Linear, Interactive and Transactional models are used to explain the human communication process. Although they do share some similarities, they also share notable differences. The Linear model of communication consists of the sender encoding a message to be sent via a channel to the receiver in the presence of noise. This model does not display the feedback element, which indicates continuous exchange of information. The Linear model represents the “one-way communication” (Palmer, 1993). The Linear model best represent mass communication, in which the message is sent out via a transmitter to an audience who will then receive and decode the message, may be vi radio or television. -
Mass Communication (COM 101)
MIDDLESEX COMMUNITY COLLEGE BEDFORD • MASSACHUSETTS • LOWELL Strategies for Success COURSE GUIDE Mass Communication (COM 101) Sponsored by the U.S. Department of Education Title III Grant, Strategies for Success: Increasing Achievement, Persistence, Retention & Engagement, 2008-2013. Title III Strengthening Institutions Project Strategies for Success: Increasing Achievement, Persistence, Retention and Engagement The Strategies for Success Title III initiative is a major, five‐year project (2009‐2013) funded by a two million dollar grant from the U.S. Department of Education. This initiative is intended to transform Middlesex Community College by improving the academic achievement, persistence, retention, and engagement of its students. The project focuses on reformed curricula and comprehensive advising. Reformed Curriculum involves the design of developmental and college Gateway courses and learning communities embedded with Core Student Success Skills related to critical thinking, communication, collaboration, organization, and self‐assessment. Overall, 45 courses will be impacted over the five years of the project. Comprehensive Advising involves the design of integrated advising services to include identification of academic and career goals, creation of realistic educational plans, and continuous tracking and intervention with an emphasis on the Core Student Success Skills. Comprehensive Advising Services will be specifically tailored to each program of study. Cross‐division curriculum and advising design teams composed of faculty and staff are designing, piloting, and assessing the curriculum and advising initiatives. The Title III grant provides resources to support faculty professional development related to designing and piloting new curriculum and advising students. The grant also supports the purchase of advising software programs and the hiring of a Pedagogical Instructional Designer, Learning Engagement Specialist, Advising Coordinator, and two academic advisors.