scholarly journals Artificial Intelligence ante portas: The End of Comparative Law?

2019 ◽  
Vol 7 (3) ◽  
pp. 484-504 ◽  
Author(s):  
Lutz-Christian Wolff

Abstract Artificial intelligence (AI) can do many things that were not thought of some years ago and that are unimaginable for non-AI experts even today. In contrast, it is relatively easy to understand that AI can be used to compare contents and structures of laws and legal documents. In fact, the comparative abilities of AI are the reason why AI is now playing an increasing role—for example, in due diligence exercises where contracts, documents as well as other materials and legal data of target companies are benchmarked against standard patterns. If the ‘ability to compare’ is one of the core features of AI it is only natural to assume that AI is an ideal tool to conduct comparative law work. This article explores if this assumption is correct. This article first highlights key features of the comparative law work process, which, for some strange reason, is hardly ever discussed in the legal literature. This article describes and analyses the different stages and investigates which parts can (or cannot) be conducted by AI. It also asks if AI will—within the scope of its comparative abilities—in fact, ‘take over’ from human comparatists. On the basis of the findings, this article concludes that it is more likely than not that comparative law work will, in the future, be AI based.

Information ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 167 ◽  
Author(s):  
Roberta Calegari ◽  
Giovanni Ciatto ◽  
Enrico Denti ◽  
Andrea Omicini

Together with the disruptive development of modern sub-symbolic approaches to artificial intelligence (AI), symbolic approaches to classical AI are re-gaining momentum, as more and more researchers exploit their potential to make AI more comprehensible, explainable, and therefore trustworthy. Since logic-based approaches lay at the core of symbolic AI, summarizing their state of the art is of paramount importance now more than ever, in order to identify trends, benefits, key features, gaps, and limitations of the techniques proposed so far, as well as to identify promising research perspectives. Along this line, this paper provides an overview of logic-based approaches and technologies by sketching their evolution and pointing out their main application areas. Future perspectives for exploitation of logic-based technologies are discussed as well, in order to identify those research fields that deserve more attention, considering the areas that already exploit logic-based approaches as well as those that are more likely to adopt logic-based approaches in the future.


2018 ◽  
Vol 4 (5) ◽  
pp. 465-484
Author(s):  
David Hricik ◽  
Asya-Lorrene S. Morgan ◽  
Kyle H. Williams

This article focuses on the second step in the due diligence process. While it addresses the question of competency, it focuses more on the further steps a lawyer must take to ensure that the use of the service as part of the representation of a client is consistent with the lawyer’s other ethical obligations. While it is important to emphasize that competency requires that the lawyer must be able to assess whether the work product is comparable to what a human would produce, competency is of course a fact-depending inquiry: whether a will is competently drafted turns on the standard of care of a practitioner who drafts wills. This article focuses more on how a lawyer can determine whether it is ethical to use a competent service that augments document drafting. While addressing how ethical concerns arise across typical practice areas, it highlights a practice area where the risks for violations may be particularly acute because the need for confidentiality is high, and the potential for undetected conflicts of interest is great: patent practice. This article identifies the issues, describes the potential risks, and explains what protections a lawyer should look for in the terms of service of an automated legal document drafting site to ensure ethical representation.


2021 ◽  
Vol 54 (2) ◽  
pp. 92-97
Author(s):  
Naomi Lyons ◽  
Detlef E. Dietrich ◽  
Johannes Graser ◽  
Georg Juckel ◽  
Christian Koßmann ◽  
...  

<b><i>Introduction:</i></b> A disturbed sense of self is frequently discussed as an etiological factor for delusion symptoms in psychosis. Phenomenological approaches to psychopathology posit that lacking the sense that the self is localized within one’s bodily boundaries (disembodiment) is one of the core features of the disturbed self in psychosis. The present study examines this idea by experimentally manipulating the sense of bodily boundaries. <b><i>Methods:</i></b> Seventy-three patients with psychosis were randomly assigned to either a 10-min, guided self-massage in the experimental group (EG) to enhance the sense of bodily boundaries or a control group (CG), which massaged a fabric ring. Effects on an implicit measure (jumping to conclusion bias; JTC) and an explicit measure (Brief State Paranoia Checklist; BSPC) of delusion processes were assessed. The JTC measures the tendency to make a decision with little evidence available, and the BSPC explicitly measures the approval of paranoid beliefs. <b><i>Results:</i></b> Patients in the EG showed a lower JTC (<i>M</i> = 4.11 draws before decision) than the CG (<i>M</i> = 2.43; Cohen’s <i>d</i> = 0.64). No significant difference in the BSPC was observed. <b><i>Discussion/Conclusion:</i></b> Our results indicate that enhancing the sense of body boundaries through a self-massage can reduce an implicit bias associated with delusional ideation and correspondingly support the idea that disembodiment might be a relevant factor in the formation of psychotic symptoms.


2021 ◽  
pp. 102986492098831
Author(s):  
Andrea Schiavio ◽  
Pieter-Jan Maes ◽  
Dylan van der Schyff

In this paper we argue that our comprehension of musical participation—the complex network of interactive dynamics involved in collaborative musical experience—can benefit from an analysis inspired by the existing frameworks of dynamical systems theory and coordination dynamics. These approaches can offer novel theoretical tools to help music researchers describe a number of central aspects of joint musical experience in greater detail, such as prediction, adaptivity, social cohesion, reciprocity, and reward. While most musicians involved in collective forms of musicking already have some familiarity with these terms and their associated experiences, we currently lack an analytical vocabulary to approach them in a more targeted way. To fill this gap, we adopt insights from these frameworks to suggest that musical participation may be advantageously characterized as an open, non-equilibrium, dynamical system. In particular, we suggest that research informed by dynamical systems theory might stimulate new interdisciplinary scholarship at the crossroads of musicology, psychology, philosophy, and cognitive (neuro)science, pointing toward new understandings of the core features of musical participation.


Author(s):  
Eliyahu Stern

The idea of a Jewish body provides the background to understand the major Jewish migrations, the core features of modern Jewish politics, the transformation of Judaism as a religion and the role played by Jews in the Minority Rights Movement. Eastern European Jews’ immigration to the United States or Palestine as two sides of the same coin.


2020 ◽  
Author(s):  
Sotaro Kondoh ◽  
Kazuo Okanoya ◽  
Ryosuke O Tachibana

Meter is one of the core features of music perception. It is the cognitive grouping of regular sound sequences, typically for every 2, 3, or 4 beats. Previous studies have suggested that one can not only passively perceive the meter from acoustic cues such as loudness, pitch, and duration of sound elements, but also actively perceive it by paying attention to isochronous sound events without any acoustic cues. Studying the interaction of top-down and bottom-up processing in meter perception leads to understanding the cognitive system’s ability to perceive the entire structure of music. The present study aimed to demonstrate that meter perception requires the top-down process (which maintains and switches attention between cues) as well as the bottom-up process for discriminating acoustic cues. We created a “biphasic” sound stimulus, which consists of successive tone sequences designed to provide cues for both the triple and quadruple meters in different sound attributes, frequency, and duration, and measured how participants perceived meters from the stimulus in a five-point scale (ranged from “strongly triple” to “strongly quadruple”). Participants were asked to focus on differences in frequency and duration. We found that well-trained participants perceived different meters by switching their attention to specific cues, while untrained participants did not. This result provides evidence for the idea that meter perception involves the interaction between top-down and bottom-up processes, which training can facilitate.


2021 ◽  
Vol 2083 (4) ◽  
pp. 042086
Author(s):  
Yuqi Qin

Abstract Machine learning algorithm is the core of artificial intelligence, is the fundamental way to make computer intelligent, its application in all fields of artificial intelligence. Aiming at the problems of the existing algorithms in the discrete manufacturing industry, this paper proposes a new 0-1 coding method to optimize the learning algorithm, and finally proposes a learning algorithm of “IG type learning only from the best”.


2021 ◽  
Vol 2066 (1) ◽  
pp. 012057
Author(s):  
Nan Li

Abstract Artificial intelligence technology (A I T) has also been widely used in society. Combining A I T with mechanical and electrical control systems will bring huge profits to the corporate sector and greatly improve work efficiency. It can save a lot of money in the electrical control operations of all walks of life in the country, and fill the gap in this technology in the country. The purpose of this article is to study the application of A I T in mechanical electrical control systems (M E C S). This article first introduces the basic theories and concepts of A I T, extends the core technology of A I T, and combines the current status of the electrical control system of modern enterprises in our country to discuss its existing problems, and finally studies and analyzes A I T and machinery. Combination of electrical control systems, and discuss the application of A I T in mechanical electrical orifice subsystems. Experiments show that, compared with the existing M E C S, the M E C S using A I T can better complete the work and improve work efficiency.


2021 ◽  
Vol 3 (1) ◽  
pp. 35-47
Author(s):  
Lambrini Seremeti ◽  
◽  
Ioannis Kougias ◽  

Nowadays, artificial intelligence entities operate autonomously and they actively participate in everyday social activities. At a macro-perspective, they play the role of mediator between people and their actions, as components of the fundamental structure of every social activity. At a micro-perspective, they can be considered as fixed critical points whose hypostasis is not subject to established legal framework. A key point is that embedding artificial intelligence entities in everyday activities may maximize legal uncertainty both at the macro and micro-level, as well as at the interim phase, i.e., the switch between the two levels. In this paper, we adapt a well-known concept from Category Theory, namely that of the pushout, in order to approximate the core interpretation legal framework of such activities, by considering each level as an open system. The purpose of using Systems Theory in combination with Category Theory is to introduce a mathematical approach to uniquely interpret complex legal social activities and to show that this novel area of artificially enhanced activities is of prime and practical importance and significance to law and computer science practitioners.


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