QUESTIONS OF THE USE OF ARTIFICIAL INTELLIGENCE IN THE OPERATION OF HIGHLY AUTOMATED VEHICLES

2021 ◽  
pp. 21-24
Author(s):  
А.В. Капустин ◽  
Ю.А. Березовский
Keyword(s):  
Artificial Intelligence ◽  
Road Safety ◽  
Road Traffic ◽  
Legal Regulation ◽  
Automated Vehicles

В статье затронуты вопросы, касающиеся правового регулирования участия в дорожном движении высокоавтоматизированных транспортных средств с использованием искусственного интеллекта. he article deals with issues in the field of road safety in terms of legal regulation of participation in road traffic of highly automated vehicles using artificial intelligence.

scholarly journals On the legal problems of operation of highly automated vehicles in road traffic

2021 ◽  
pp. 59-73
Author(s):  
Aleksei Viktorovich Amelichkin
Keyword(s):  
Social Relations ◽  
Road Safety ◽  
Road Traffic ◽  
Legal Framework ◽  
Legal Regulation ◽  
Educational Process ◽  
Automated Vehicles ◽  
The Road ◽  
Safety Improvement ◽  
Legal Mechanism

The subject of this research is the system of legal relations in area of ensuring road safety in terms of operation of highly automated vehicles on public roads. The object of this research is social relations arising in the context of operation of highly automated vehicles traffic on public roads. The goal of this article consists in examination of the normative legal framework that regulates the peculiarities of operation of highly automated vehicles, as well as in development of recommendations for improving the normative legal framework. The author explores the issues of normative legal regulation of operation of highly automated vehicles on public roads. Special attention is given to the current issues of legal nature. The novelty is defined by the need to improve legal mechanism for the operation of highly automated vehicles on public roads. The author identifies the problems and offers solution on enhancing road safety in terms of operation of highly automated vehicles on public roads for protecting the road users. The conclusion is made on the need to revise the normative legal acts in the area of ensuring road safety for the purpose of achieving a positive result from implementation of highly automated vehicles into road traffic. The acquired results can be used in the legislative activity of government authorities, law enforcement practice, educational process of the educational institutions, scientific research of the experts on ensuring road safety, improvement of the branches of the Russian legal system.

scholarly journals Criminological legislation of Ukraine in the field of road safety

2021 ◽  
Vol 2 (16) ◽  
pp. 294-309
Author(s):  
Alina Vladyslavivna Kalinina
Keyword(s):  
Public Relations ◽  
Road Safety ◽  
Theoretical Basis ◽  
Road Traffic ◽  
Road Transport ◽  
Legal Regulation ◽  
Structural Element ◽  
Legal Norms ◽  
The Road ◽  
The One

The level of road safety in Ukraine cannot be estimated as high. According to the reports of the Patrol Police, in Ukraine in recent years, on average, 3.5 thousand people die from road accidents every year. An increase in the level of road transport safety determines the development of a theoretical basis for legislation to ensure the prevention of offenses, primarily criminal ones. The criminological legislation in the field of road safety can be such a theoretical basis. The legislation, the norms of which are aimed at ensuring road safety, is significantly branchy and widely held in norms of laws of different legal force, forming, on the one hand, a large layer of legal norms, and on the other, laying the foundations for the prevention of offenses in this area. Criminological legislation in the field of road safety is a separate structural element of the criminological legislation of Ukraine. The subject of legal regulation in this case is public relations in the field of regulation of the prophylaxis and prevention of offenses (both administrative and criminal) in the provision of road traffic. According to their functional purpose, the norms of the criminological legislation of Ukraine in the field of road safety can be divided into conceptual, programmatic, regulatory and preventive ones. Conceptual norms include the norms through which the system of views and constructive ideas of the state about the road safety improving is revealed. The program norms of criminological legislation in the field of road safety include the provisions of documents aimed at the implementation of conceptual norms. Regulatory norms are the norms of legislation aimed at observing the rules, norms and standards for the operation of transport, ensuring the rules for organizing road safety and other prescriptions that determine the rules for road users. Preventive provisions include the norms of administrative and criminal legislation that determine responsibility for violations in the field of road safety and transport operation, thereby performing prophylactic and preventive functions.

Ethics of Artificial Intelligence in Transport

2020 ◽  
pp. 667-683
Author(s):  
Bryant Walker Smith
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Ethical Question ◽  
Power Dynamics ◽  
Automated Vehicles ◽  
Automated Driving ◽  
The U.S ◽  
Policy Solutions

This chapter highlights key ethical issues in the use of artificial intelligence in transport by using automated driving as an example. These issues include the tension between technological solutions and policy solutions; the consequences of safety expectations; the complex choice between human authority and computer authority; and power dynamics among individuals, governments, and companies. In 2017 and 2018, the U.S. Congress considered automated driving legislation that was generally supported by many of the larger automated-driving developers. However, this automated-driving legislation failed to pass because of a lack of trust in technologies and institutions. Trustworthiness is much more of an ethical question. Automated vehicles will not be driven by individuals or even by computers; they will be driven by companies acting through their human and machine agents. An essential issue for this field—and for artificial intelligence generally—is how the companies that develop and deploy these technologies should earn people’s trust.

5G-enabled Road Safety and Cybersecurity Services for Connected and Automated Vehicles

2021 ◽  
Author(s):  
Tiia Ojanpera ◽  
Johan Scholliers ◽  
Timo Sukuvaara ◽  
Iiro Salkari ◽  
Hongwen Zhang ◽  
...  
Keyword(s):  
Road Safety ◽  
Automated Vehicles

Trust in Artificial Intelligence: Meta-Analytic Findings

2021 ◽  
pp. 001872082110139
Author(s):  
Alexandra D. Kaplan ◽  
Theresa T. Kessler ◽  
J. Christopher Brill ◽  
P. A. Hancock
Keyword(s):  
Artificial Intelligence ◽  
Empirical Research ◽  
Meta Analysis ◽  
Automated Vehicles ◽  
Factors Influencing ◽  
Moderating Factors ◽  
Shared Context ◽  
Build Systems ◽  
Significant Factors

Objective The present meta-analysis sought to determine significant factors that predict trust in artificial intelligence (AI). Such factors were divided into those relating to (a) the human trustor, (b) the AI trustee, and (c) the shared context of their interaction. Background There are many factors influencing trust in robots, automation, and technology in general, and there have been several meta-analytic attempts to understand the antecedents of trust in these areas. However, no targeted meta-analysis has been performed examining the antecedents of trust in AI. Method Data from 65 articles examined the three predicted categories, as well as the subcategories of human characteristics and abilities, AI performance and attributes, and contextual tasking. Lastly, four common uses for AI (i.e., chatbots, robots, automated vehicles, and nonembodied, plain algorithms) were examined as further potential moderating factors. Results Results showed that all of the examined categories were significant predictors of trust in AI as well as many individual antecedents such as AI reliability and anthropomorphism, among many others. Conclusion Overall, the results of this meta-analysis determined several factors that influence trust, including some that have no bearing on AI performance. Additionally, we highlight the areas where there is currently no empirical research. Application Findings from this analysis will allow designers to build systems that elicit higher or lower levels of trust, as they require.

scholarly journals Drink, but don't drive? The alcohol industry’s involvement in global road safety

2020 ◽  
Author(s):  
Connie Hoe ◽  
Niloufer Taber ◽  
Sarah Champagne ◽  
Abdulgafoor M Bachani
Keyword(s):  
Public Health ◽  
Road Safety ◽  
Road Traffic ◽  
Expert Interviews ◽  
Mixed Methods Approach ◽  
The Public ◽  
Alcohol Industry ◽  
Alcohol Control ◽  
Mapping Review ◽  
Shed Light

Abstract Drink-driving is a major cause of global road traffic fatalities, yet few countries have laws that meet international best practices. One possible reason is the alcohol industry’s opposition to meaningful policies that are perceived to directly threaten sales. Our primary objectives are to document alcohol industry involvement in global road safety policies and programmes and to critically evaluate the responses of public health and road safety communities to this involvement. Under the guidance of the Policy Dystopia Model, we used a mixed methods approach in which data were gathered from expert interviews and a mapping review of 11 databases, 5 watchdog websites and 7 alcohol industry-sponsored initiatives. Triangulation was used to identify points of convergence among data sources. A total of 20 expert interviews and 94 documents were analysed. Our study showed that the alcohol industry acknowledges that drink-driving is an issue but argues for solutions that would limit impact on sales, akin to the message ‘drink—but do not drive’. Industry actors have been involved in road safety through: (1) coalition coupling and decoupling, (2) information production and management, (3) direct involvement in policymaking and (4) implementation of interventions. Our study also shed light on the lack of cohesion within and among the public health and road safety communities, particularly with regard to the topics of receiving funding from and partnering with the alcohol industry. These results were subsequently used to adapt the Policy Dystopia Model as a conceptual framework that illustrates the ways in which the alcohol industry has been involved in global road safety. Several implications can be drawn from this study, including the urgent need to increase awareness about the involvement of the alcohol industry in road safety and to build a cohesive transnational alcohol control advocacy alliance to curb injuries and deaths related to drink-driving.

Road Safety in Developing Countries - The Case of Transportation Management in Dar Es Salaam City

2012 ◽  
Vol 178-181 ◽  
pp. 1806-1814
Author(s):  
Philemon Kazimil Mzee ◽  
Yan Chen
Keyword(s):  
Public Transport ◽  
Traffic Control ◽  
Road Safety ◽  
Road Traffic ◽  
High Growth ◽  
Dar Es Salaam ◽  
Rapid Urbanization ◽  
Policy Objective ◽  
Transportation Management ◽  
Transport Services

Countries of the developing world are characterized by rapid urbanization, high growth rates in traffic and congestion and decreasing regulation of public transport. Because the majority of the developing world's inhabitants are dependent on public transport services for their mobility needs, the need for safe, effective and efficient public transport is essential to ensure adequate, affordable, accessibility and the continuing sustainable development of livelihoods in the rural and urban. Finally, recommendations are made to reduce both the severity and number of public transport accidents in the future. This paper highlights the historical road safety and the transportation management in Dar es Salaam. In the field of road traffic control and management, the primary policy objective is to develop appropriate institutional and organizational arrangement towards further efficient road use.

PATENT PROTECTION OF SCIENTIFIC RESULTS AND ARTIFICIAL INTELLIGENCE: PROBLEMS AND CHALLENGES

2020 ◽  
pp. 36-43
Author(s):  
Daria Ponomareva ◽  
◽  
Alexander Barabashev ◽  
Keyword(s):  
Artificial Intelligence ◽  
Patent Protection ◽  
Legal Status ◽  
Legal Regulation ◽  
Scientific Activity ◽  
Foreign Law ◽  
Scientific Results ◽  
Will Force ◽  
Definition Of ◽  
Artificial Intelligence Systems

This article is devoted to the legal problems associated with the provision of patent protection for the results of scientific activities created by artificial intelligence systems. The authors explore the approaches formulated by doctrine and practice in relation to objects created by robotic systems, computer technology and AI. The problem of the relationship between patent protection of the results of scientific (scientific and technical) activities and artificial intelligence systems is becoming more and more urgent. Modern AI systems are quite capable of creating inventions that are the result of the application (use) of the cognitive (thinking) abilities of a person, that is, such inventions can be patentable. There is no doubt that the increasingly active introduction of AI systems will force national legislators to reconsider the definition of the term “inventor.” In Russian legislation, the issue of patent protection of inventions created by AI is currently not resolved. The review of the state of legal regulation of patent protection of the results of scientific activity (first of all, inventions) created by AI systems, presented in the article, indicates the absence of clear rules both in Russian and foreign law (using the example of individual jurisdictions) regarding the determination of the legal status of this kind. objects and the person who has exclusive rights in relation to them. The use of already existing legal constructions by analogy, as well as the borrowing of foreign experience, can only temporarily solve the issue of patent protection of the results of scientific activity created with the help of AI.

STATE OF DOCTRINAL RESEARCH ON THE LEGAL REGULATION OF ARTIFICIAL INTELLIGENCE IN RUSSIA BASED ON THE WORKS OF RUSSIAN LAWYERS

2021 ◽  
pp. 11-22
Author(s):  
Galina Andreeva ◽  
Keyword(s):  
Artificial Intelligence ◽  
Legal Regulation ◽  
Scientific Development ◽  
Current State

This review summarizes the statements of Russian scientists about the current state of scientific development of issues of legal regulation of AI, the complexities of the problems facing scientists and the assessment of the proposed ways to solve them in the most important aspects of legal regulation of AI.

Status of Road Safety in the Region of the Americas

2019 ◽  
Keyword(s):  
Dominican Republic ◽  
Road Safety ◽  
Best Practice ◽  
Safety Management ◽  
Road Traffic ◽  
Sustainable Development Goal ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
The Sustainable Development ◽  
Child Restraint

In the three years since the last road safety report was issued, the number of road traffic deaths has continued to increase throughout the Americas, reaching 154,997 deaths in 2016 (latest year of available data). However, the death rate from road traffic crashes has remained stable (15.6 per 100,000 population in 2016 as compared to 15.9 per 100,000 population in 2013). Data presented in this report show that aspects of road safety management, legislation, and post-crash care have improved in some countries. However, the improvements have been modest and it is clear that the Sustainable Development Goal (SDG) target 3.6, to halve road traffic deaths by 2020, will not be achieved... Since 2014, more countries in the Region have implemented road safety legislation. Two additional countries, the Dominican Republic and Uruguay, established laws on drink-driving based on best practice, bringing the total to eight countries. Ecuador implemented legislation on helmet use (resulting in a total of seven countries), Dominican Republic implemented legislation on seat-belts (19 countries in total), while Chile implemented child restraint laws (two countries in total). However, no new speed laws have been enacted in the Region. Overall, four countries (Chile, Dominican Republic, Ecuador, and Uruguay) have amended their laws regarding one or more road safety risk factors to bring them in line with best practice. Despite these legislative developments, enforcement remains a major challenge in most countries...

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