Искусственный интеллект и право: вызовы и возможности самообучающихся алгоритмов
The paper analyses some legal issues of artificial intelligence. In the first part of the paper authors provide classification and overview of the interdisciplinary research in this field. The next part of the paper illustrates artificial intelligence legal issues and provides approaches to mitigate these challenges. In particular, authors examine artificial intelligence influence on the protection of personal data, intellectual property rights and civil liability. The authors conclude that the development of artificial intelligence requires a change in the legal framework.
The article reveals the essence of the penalty, its main features as a measure of contractual liability.The author examines the procedures and principles for calculating the penaltyand the reasons and ways to reduce its size. The author also analyze the major challenges of the penalty on the basis of legislation and judicial practice.
Recently, the state taken various measures to protect the rights of citizens who use the various types of transportation, namely air, road and rail. In turn, the legal status of the passenger includes a number of rights and obligations, which legal regulations are in need of improvement. As practice shows, to date, more frequent non-standard rights violations during transportation of passengers and active use of the citizens of judicial and extrajudicial protection of their rights. This paper is devoted to these issues and graduate student of the Department of Private International Law, Faculty of Law of the National Research University «Higher School of Economics» Kasatkina A.S. considering these issues.
In November 2014, Team DESCARTES led by Newton Lee and sponsored by the Institute for Education, Research, and Scholarships (IFERS) was among one of the 104 teams registered with the Defense Advanced Research Projects Agency (DARPA) for the first-ever Cyber Grand Challenge (CGC). Only 28 teams, including Team DESCARTES, made it through two DARPA-sponsored dry runs and into the CGC Qualifying Event in June 2015. We proposed a system—Distributed Expert Systems for Cyber Analysis, Reasoning, Testing, Evaluation, and Security (DESCARTES)—that would be a fully autonomous cyber defense system that is capable of autonomous analysis, autonomous patching, autonomous vulnerability scanning, autonomous service resiliency, and autonomous network defense.
The series “Lecture Notes in Networks and Systems” publishes the latest develop- ments in Networks and Systems—quickly, informally and with high quality. Original research reported in proceedings and post-proceedings represents the core of LNNS.
Volumes published in LNNS embrace all aspects and subfields of, as well as new challenges in, Networks and Systems.
The series contains proceedings and edited volumes in systems and networks, spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output.
The series covers the theory, applications, and perspectives on the state of the art and future developments relevant to systems and networks, decision making, control, complex processes and related areas, as embedded in the fields of interdisciplinary and applied sciences, engineering, computer science, physics, economics, social, and life sciences, as well as the paradigms and methodologies behind them.
The Big Data concept provides a new way to understand and change the world, thus greatly changing people's way of thinking and way of living. With the rapid development of Internet and technology, people are interacting with the world and sharing themselves in everyday life, during which massive personal information is revealed willingly or unwillingly. From Internet of Things (IoT) to Internet of Everything (IoE), from 4G to 5G, unimaginable amount of data will be produced in coming decades. How to ensure the security of our personal data has arisen the concern of government and big enterprises. This paper is an overall analysis of the challenges we faced on personal data protection during the era of big data, which also provides relative solutions depending on different contexts of personal data.
The article is devoted to a particular form of freedom of assembly — the right to counter-demonstrate. The author underlines the value of this right as an element of democratic society, but also acknowledges the risk of violent actions among participants of opposing demonstrations. Due to this risk, the government may adopt adequate measures restricting the right to counter-demonstrate, certain types of which are analyzed in this paper.
Development of standards of international controllability is reviewed in the article. Institutional approach is applied to development of international legal regime of Energy Charter. Definition of controllability is connected to development of international standards of dispute settlement, which are described in the article in detail. In connection with controllability, Russian interest, defense of investment in European Union and ecological investment encouragement, is reviewed in the article.
мировое управление и управляемость, Мировая экономика, международное экономическое право, энергетическая хартия, International control and controllability, International economics, international economic law, Energy Charter
международное частное право; недвижимость; ; школа бартолистов; бартолисты; теория статутов; статуарная теория/