scholarly journals A Brief History of the Changing Roles of Case Prediction in AI and Law

2019 ◽  
Vol 36 (1) ◽  
pp. 93-112
Author(s):  
Kevin D. Ashley
Keyword(s):  
Artificial Intelligence ◽  
Computational Models ◽  
Legal Reasoning ◽  
Use Cases ◽  
Historical Evolution ◽  
Borderline Cases ◽  
Artificial Intelligence And Law ◽  
Changing Roles ◽  
History Of ◽  
Case Based

Predicting case outcomes has long played a role in research on Artificial Intelligence and Law. Actually, it has played several roles, from identifying borderline cases worthy of legal academic commentary, to providing some evidence of the reasonableness of computational models of case-based legal reasoning, to providing the raison d'être of such models, to accounting for statistically telling features beyond such models, to circumventing features altogether in favor of predicting outcomes directly from analyzing case texts. The use cases to which case prediction has been put have also evolved. This article briefly surveys this historical evolution of roles and uses from a mere research possibility to a fundamental tool in AI and Law’s kit bag of techniques.  

scholarly journals Malaysian Medical Device Regulation for Artificial Intelligence in Healthcare: Have all the pieces fallen into position?

2021 ◽  
Vol 6 (16) ◽  
pp. 137-144
Author(s):  
Nurus Sakinatul Fikriah Mohd Shith Putera ◽  
Sarah Munirah Abdullah ◽  
Noraiza Abdul Rahman ◽  
Rafizah Abu Hassan ◽  
Hartini Saripan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Device ◽  
Medical Devices ◽  
Publishing House ◽  
Legal Reasoning ◽  
Healthcare Applications ◽  
Artificial Intelligence And Law ◽  
Learning And Adaptation ◽  
Research Findings ◽  
Medical Device Regulation

Artificial Intelligence (AI) ability of self-learning and adaptation has challenged the medical device regulation in overseeing the safety and effectiveness of medical devices. Thus, this research aims to evaluate the adequacy of the pre-market requirements under the Medical Device Act 2012 in governing AI modification. Employing the doctrinal research methodology, systematic means of legal reasoning pertinent to AI for healthcare applications are produced. An effective medical device regulation is pivotal to foster trustworthiness in the governance and adoption of AI. However, the research findings indicate the deficiency of the current conformity assessment for medical devices in addressing AI modifications. Keywords: Artificial Intelligence and Law, Artificial Intelligence and Medical Device Regulation, Malaysian Medical Device Regulation eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v6i16.2635

Argument diagramming in logic, law and artificial intelligence

2007 ◽  
Vol 22 (1) ◽  
pp. 87-109 ◽  
Author(s):  
CHRIS REED ◽  
DOUGLAS WALTON ◽  
FABRIZIO MACAGNO
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Recent Work ◽  
Legal Reasoning ◽  
Software Tool ◽  
Argumentation Theory ◽  
Informal Logic ◽  
History Of ◽  
Argument Diagram ◽  
Evidence Law

AbstractIn this paper, we present a survey of the development of the technique of argument diagramming covering not only the fields in which it originated — informal logic, argumentation theory, evidence law and legal reasoning — but also more recent work in applying and developing it in computer science and artificial intelligence (AI). Beginning with a simple example of an everyday argument, we present an analysis of it visualized as an argument diagram constructed using a software tool. In the context of a brief history of the development of diagramming, it is then shown how argument diagrams have been used to analyse and work with argumentation in law, philosophy and AI.

Case-based reasoning and law

2005 ◽  
Vol 20 (3) ◽  
pp. 293-298 ◽  
Author(s):  
EDWINA L. RISSLAND ◽  
KEVIN D. ASHLEY ◽  
L. KARL BRANTING
Keyword(s):  
Artificial Intelligence ◽  
Case Based Reasoning ◽  
Primary Research ◽  
Artificial Intelligence And Law ◽  
Research Stream ◽  
Case Based

A primary research stream that contributed to the birth of case-based reasoning (CBR) was Artificial Intelligence and Law. Since law is largely about cases, it is a particularly interesting domain for CBR researchers. This article surveys some of the historically significant systems and developments in this field.

Solving the Message Classification Problem in Voice Interaction Systems

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 132-139
Author(s):  
Ivan E. Kurilenko ◽  
◽  
Igor E. Nikonov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Classification Problem ◽  
Subject Area ◽  
Text Messages ◽  
Case Based Reasoning ◽  
Short Text ◽  
Proposed Modification ◽  
Voice Interaction ◽  
Text Content ◽  
Case Based

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

All men and beasts, lions, eagles, quails… Anthropomorphic and Zoomorphic Representations of Nations and States in Slavic Сultural Discourse

2020 ◽  
Keyword(s):  
Russian Empire ◽  
Imagined Communities ◽  
Cultural Discourse ◽  
Visual Images ◽  
Scientific Conference ◽  
Historical Evolution ◽  
The South ◽  
Russian Academy Of Sciences ◽  
History Of ◽  
Academy Of Sciences

The book was compiled on the materials of the scientific conference “Anthropomorphic and zoomorphic representations of nations and states in the Slavic cultural discourse” (2019), held at the Institute of Slavic Studies of the Russian Academy of Sciences (Moscow) and devoted to the history of the nations’ personifications and generalized ethnic images in period of “imagined communities” formation. This process is reconstructing on verbal and visual sources and by methods of various disciplines. The historical evolution of such zoomorphic incarnations of nations as an Eagle (in the Polish patriotic poetry of the first third of the 19th cent), a Falcon (in the South Slavic and Czech cultures in the 19th cent), a Griffin (during the formation of the Cassubian ethnocultural identity) is considered. The animalistic national representations in the Estonian caricature of the interwar twenty years of the 20th cent., so as the functioning of the Bear’s allegory as a symbol of Russia in modern Russian souvenir products are analyzed. The originality of zoomorphic symbolism in Polish and Soviet cultures is shown оn the examples of para- and metaheraldic images in XXth cent. The transformation of the verbal and visual images of “Mother Russia” personifications in Russian Empire was reconstructed. The evolution of various allegories of ethnic “Self” and “Others” is presented by caricatures of 19th – 20th cent. in Slovenian periodic and in Russian “Satyricon” journal (1914–1918).

Work and Technological Change

2020 ◽  
Author(s):  
Stephen R. Barley
Keyword(s):  
Artificial Intelligence ◽  
Historical Context ◽  
Energy Transformation ◽  
History Of ◽  
Work And Organizations ◽  
Role Based ◽  
Control Technologies ◽  
And Control ◽  
Work And Employment

The four chapters of this book summarize the results of thirty-five years dedicated to studying how technologies change work and organizations. The first chapter places current developments in artificial intelligence into the historical context of previous technological revolutions by drawing on William Faunce’s argument that the history of technology is one of progressive automation of the four components of any production system: energy, transformation, and transfer and control technologies. The second chapter lays out a role-based theory of how technologies occasion changes in organizations. The third chapter tackles the issue of how to conceptualize a more thorough approach to assessing how intelligent technologies, such as artificial intelligence, can shape work and employment. The fourth chapter discusses what has been learned over the years about the fears that arise when one sets out to study technical work and technical workers and methods for controlling those fears.

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