scholarly journals ROBOTIC THEATRE: COMPARATIVE ANALYSIS OF HUMAN AND MECHANIZED ACTIVITIES IN THE CREATIVE PROCESS

2021 ◽  
Vol 14 (2) ◽  
pp. 295-306
Author(s):  
Tetiana Sovhyra

The article systematizes and analyzes the existing experience of organizing the creative process in a robotic theater. The author explores the robotic theater phenomenon, the artificial intelligence technology possibilities to function in the stage space. The article provides a comparative analysis of human and mechanized interaction in the stage space. The methodological basis of the research is a combination of several methods: analytical – for accounting for historical and fictional literature; theoretical and conceptual method – for analyzing the conceptual and terminological system of research and identifying the specifics of introducing the artificial intelligence technology in creative process; comparative-typological – to compare the peculiarities of the functioning of mechanized “actors” with the acting skills of human performers. The article explores the threat perception and uncanny valley concepts to study the perception of a robot–actor by an audience. The author examines the process of human interaction with a robotic body: from the moment of interest, interaction to the moment of rejection of the robot by a person (audience).

2021 ◽  
pp. 355-368
Author(s):  
Witold Wyporek

This article represents an overview of the jurisprudence case review of issues relatively connected with artificial intelligence technology. The collection of judgments chosen for the purposes of study which include concerns related to issues associated with forthcoming technological world. For example, the functionality of bot software automate human interaction easy with various online activities, the use of AI to analyse the car cost repairing according to model. AI used in forensic medical radiology, figure print scanning, security enhancement using facial biometrics recognition. AI in automate graphics and game design application. Also AI use to filter social networks to identify inciting terrorism. The main purpose of the study is to identify and assess the need of regulate artificial intelligence technology according to standardize policy, as well as to assess the level of threats associated with privacy of data analysis functions of the AI technology in the context of the presented jurisprudence.


2021 ◽  
Vol 11 (1) ◽  
pp. 30-43
Author(s):  
M.A. FOKINA

The article provides a comparative analysis of the legal regulation of proof and evidence in civil and arbitration proceedings, administrative proceedings. From the point of view of the unity and differentiation of the civil procedural form, the problems of legal regulation of proof and evidence in three procedural regulations are considered. The author considers the concept of judicial law as a methodological basis for unification in the legal regulation of proof and evidence. Judicial law is considered as a possible basis for the unity of civil procedure, its main concepts are highlighted: the unity of the goals of civil procedure; the unity of the principles of civil procedure; systemic interconnection of its constituent elements. As a result of the study, the author came to the conclusion that there are unjustified discrepancies in the legal regulation of proof and evidence. The author deduces this conclusion from the analysis of the mechanism of proof, enshrined in three procedural rules, the study of the rules for the distribution of the burden of proof, the admissibility of evidence and the exclusion of evidence. Proposals have been made to improve the legal regulation of proof and evidence, aimed at eliminating unjustified discrepancies. Also, the study raises questions about determining the moment from which the evidence presented by the person participating in the case may lose legal force.


2021 ◽  
Vol 118 ◽  
pp. 04007
Author(s):  
Olga Viktorovna Sushkova ◽  
Aleksey Vladimirovich Minbaleev

The study aims to conduct a comparative analysis of the legal regulation of the use of artificial intelligence in the financial services market. The research was carried out based on empirical methods of comparison, description, interpretation, and theoretical methods of formal and dialectical logic. Particular scientific methods were used: legal-dogmatic and the method of interpreting legal norms. The financial services market is currently expanding access to finance. At the same time, the normative legal regulation of artificial intelligence technology (hereinafter referred to as AI) in the financial sector is rather fragmentary and declarative. The position is expressed that artificial intelligence in the financial services market can lead to systemic risks and the manipulation of such a market on trading platforms. It is argued that the development of artificial intelligence should adhere to regulatory goals related to market security, consumer protection, and market integrity. The authors highlight regulatory objectives and possible regulatory methods for peer-to-peer platforms that ensure equality and fair access to financial instruments. The results of the work were the justification for the need to use robotic consultants in the field of investment activities to provide consumers with access to financial services markets. It is shown that the current legal regime does not provide adequate protection for consumers of financial services in this regard. At the same time, the authors believe that artificial intelligence can be used as a form of RegTech (regulatory technology) to optimize compliance processes, thereby increasing competition in financial markets and benefiting consumers. However, such use may be contrary to the principles of confidentiality, data protection, and ethical considerations. The novelty of the work lies in the proposed basic guidelines for the development of detailed regulators for the certification of algorithms and digital platforms, for enhancing ex-ante and ex-post protection of individuals using robotic consultants, and for addressing the question of how individual rights such as privacy rights and data rights can be exercised.


2018 ◽  
Vol 2 (1) ◽  
pp. 32
Author(s):  
Erwin Kuit Panggabean

The development of artificial intelligence technology that has occurred has allowed expert systems to be applied in detecting disease using programming languages. One in terms of providing information about a variety of disease problems that have recently been feared by Indonesian society, namely stroke. Expert system method used is dempster shafer and certainty factor method is used to analyze the comparison of both methods in stroke.Based on the analysis result, it is found that certainty factor is better than demster shafer and more accurate in handling the knowledge representation of stoke disease according to the symptoms of disease obtained from one hospital in medan city, uniqueness of algorithm that exist in both methods.


2020 ◽  
Author(s):  
Christopher Welker ◽  
David France ◽  
Alice Henty ◽  
Thalia Wheatley

Advances in artificial intelligence (AI) enable the creation of videos in which a person appears to say or do things they did not. The impact of these so-called “deepfakes” hinges on their perceived realness. Here we tested different versions of deepfake faces for Welcome to Chechnya, a documentary that used face swaps to protect the privacy of Chechen torture survivors who were persecuted because of their sexual orientation. AI face swaps that replace an entire face with another were perceived as more human-like and less unsettling compared to partial face swaps that left the survivors’ original eyes unaltered. The full-face swap was deemed the least unsettling even in comparison to the original (unaltered) face. When rendered in full, AI face swaps can appear human and avoid aversive responses in the viewer associated with the uncanny valley.


Sign in / Sign up

Export Citation Format

Share Document