Risk Of Violation Research Articles

Redefining Duty of Care: Challenges and Solutions for Network Service Providers

With the rapid development of Internet and algorithm technology, how to judge the "duty of care" of network service providers has become a new problem in the field of network infringement. The main topic of this paper is to focus on what kind of duty of care network service providers should bear, and how to solve the problem of responsibility division and commitment in practice. It begins with a comprehensive analysis of the current legal frameworks in China, comparing them with global standards, particularly focusing on the United States' "Safe Harbor" principle and the European Union's Digital Single Market Copyright Directive. It further discusses the challenges of enforcing the duty of care, emphasizing the variability in judicial interpretations and the difficulties in applying traditional legal principles to modern digital contexts. It highlights the need for clearer definitions and preemptive legal measures to mitigate infringement risks, as demonstrated by proactive copyright declarations like those implemented during the 2022 Beijing Winter Olympic Games. Additionally, it examines the potential misuse of the duty of care in competitive business environments, suggesting judicial and legislative strategies to prevent abuse and ensure a fair application of the law. The conclusion advocates for a collaborative approach to reforming duty of care standards, involving a range of stakeholders from legislators to copyright holders, to ensure they are robust yet flexible enough to accommodate future technological developments.

Multi-resource dynamic coordinated planning of flexible distribution network

The flexible distribution network presents a promising architecture to accommodate highly integrated distributed generators and increasing loads in an efficient and cost-effective way. The distribution network is characterised by flexible interconnections and expansions based on soft open points, which enables it to dispatch power flow over the entire system with enhanced controllability and compatibility. Herein, we propose a multi-resource dynamic coordinated planning method of flexible distribution network that allows allocation strategies to be determined over a long-term planning period. Additionally, we establish a probabilistic framework to address source-load uncertainties, which mitigates the security risks of voltage violations and line overloads. A practical distribution network is adopted for flexible upgrading based on soft open points, and its cost benefits are evaluated and compared with that of traditional planning approaches. By adjusting the acceptable violation probability in chance constraints, a trade-off between investment efficiency and operational security can be realised.

The Challenges and Optimization Strategies of Social Media Marketing in Cross-Border E-Commerce

This article examines the symbiotic relationship between social media platforms and cross-border e-commerce, and discuss the opportunities and obstacles in the cross-border e-commerce operation in social media platforms. It outlines the exponential growth of cross-border trade thanks to internet connectivity and technological advancements. Social media platforms are playing a crucial role in the operation of cross-border e-commerce. The study identifies key challenges faced by cross-border e-commerce firms including language barriers, intellectual property infringement risks, and the complexities of social media management. Moreover, it proposes strategic solutions for the issues and challenges on, such as cultural integration, enhanced copyright awareness, and standardized social media management. By solving these challenges, businesses can unlock new chapters for cross-border e-commerce and achieve further success. This article provides insights and several suggestions, aiming to provide strategic solutions for companies running cross-border e-commerce businesses.

Pedestrian red-light violations and other safety-related behaviours at signalised crosswalks

ABSTRACT In this study, pedestrians’ violation rate at signalised crosswalks and the associated risk factors were investigated. The data for the study were obtained through roadside pedestrian observational surveys at 10 selected crosswalks within Accra Metropolis, Ghana. The associated risk factors for the red-light violations were determined using mixed-effect logistic regression model. The descriptive statistics revealed that the red-light violation rate in the Accra metropolis was approximately 62%. Most (63.5%) of the violations occurred during the evening and on weekends (73.6%). Over 98% of pedestrians demonstrated safety consciousness by way of crossing behaviour before and during crossing by observing oncoming traffic. From the mixed-effect logistics regression model, six independent variables being age, signal cycle length, number of pedestrians crossing at a time, day of the week and pedestrian light observation significantly influenced the risk of red-light violation by pedestrians. Effective law enforcement, education campaigns and engineering measures could be used to reduce the tendency of red-light violations by pedestrians and improve pedestrian safety at signalised crosswalks in the Accra metropolis.

Safe Autonomous Driving with Latent Dynamics and State-Wise Constraints.

Autonomous driving has the potential to revolutionize transportation, but developing safe and reliable systems remains a significant challenge. Reinforcement learning (RL) has emerged as a promising approach for learning optimal control policies in complex driving environments. However, existing RL-based methods often suffer from low sample efficiency and lack explicit safety constraints, leading to unsafe behaviors. In this paper, we propose a novel framework for safe reinforcement learning in autonomous driving that addresses these limitations. Our approach incorporates a latent dynamic model that learns the underlying dynamics of the environment from bird's-eye view images, enabling efficient learning and reducing the risk of safety violations by generating synthetic data. Furthermore, we introduce state-wise safety constraints through a barrier function, ensuring safety at each state by encoding constraints directly into the learning process. Experimental results in the CARLA simulator demonstrate that our framework significantly outperforms baseline methods in terms of both driving performance and safety. Our work advances the development of safe and efficient autonomous driving systems by leveraging the power of reinforcement learning with explicit safety considerations.

Assessing the Copyright Infringement Risk of Generative AI Created Works

The rapid evolution of the Internet and big data technology has ushered in significant advancements in data production and utilization. However, this progress has brought to the forefront the intricate issue of copyright protection. This is particularly evident with the widespread adoption of generative artificial intelligence (AI), where concerns regarding data source protection, data processing standards, and the boundaries of data application have garnered considerable attention from both academia and industry. Big data mining techniques coupled with generative AI algorithms offer robust support for data collection and processing, but they also introduce risks of data infringement and pose challenges regarding algorithmic compliance and ownership rights over generated works. Addressing these issues is imperative. This paper recommends enhancing legal compliance standards throughout each stage of the generative AI process, recalibrating the scope of acceptable copyright use, and establishing a regulatory framework for generative AI works. These measures are crucial for fostering the sustainable and orderly advancement of the generative AI industry.

Algorithmic Discrimination From the Perspective of Human Dignity

Applications of artificial intelligence, algorithmic differentiation, and automated decision‐making systems aim to improve the efficiency of decision‐making for differentiating persons. However, they may also pose new risks to fundamental rights, including the risk of discrimination and potential violations of human dignity. Anti‐discrimination law is not only based on the principles of justice and equal treatment but also aims to ensure the free development of one’s personality and the protection of human dignity. This article examines developments in AI and algorithmic differentiation from the perspective of human dignity. Problems addressed include the expansion of the reach of algorithmic decisions, the potential for serious, systematic, or structural discrimination, the phenomenon of statistical discrimination and the treatment of persons not as individuals, deficits in the regulation of automated decisions and informed consent, the creation and use of comprehensive and personality‐constituting personal and group profiles, and the increase in structural dominance.

Research on risk precaution of intellectual property infringement in cross-border e-commerce

Cross-border e-commerce is one of the innovative applications of Internet technology in the field of foreign trade. In recent years, China's cross-border e-commerce business has developed rapidly, but it is also faced with the challenge of intellectual property infringement risk. This paper takes the intellectual property rights in China's cross-border e-commerce as the research object, analyzes the current situation and main types of intellectual property infringement risks, and sums up the reasons why China's International online trade enterprises frequently encounter intellectual property risks from the perspective of infringement. For example, the relevant laws and regulations, the supervision mechanism of export products need to be improved and perfected, and there are differences in the determination of intellectual property infringement liability in different countries. Based on this, this paper intends to put forward relevant improvement paths from the aspects of perfecting relevant laws and norms, strengthening the legal supervision of intellectual property rights, clarifying the imputation principle applicable to tort liability and increasing the intensity of compensation for intellectual property infringement damages, in order to promote the vigorous development of China's foreign trade industry.

Enterprise violation risk deduction combining generative AI and event evolution graph

AbstractIn the current realms of scientific research and commercial applications, the risk inference of regulatory violations by publicly listed enterprises has attracted considerable attention. However, there are some problems in the existing research on the deduction and prediction of violation risk of listed enterprises, such as the lack of analysis of the causal logic association between violation events, the low interpretability and effectiveness of the deduction and the lack of training data. To solve these problems, we propose a framework for enterprise violation risk deduction based on generative AI and event evolution graphs. First, the generative AI technology was used to generate a new text summary of the lengthy and complex enterprise violation announcement to realize a concise overview of the violation matters. Second, by fine‐tuning the generative AI model, an event entity and causality extraction framework based on automated data augmentation are proposed, and the UIE (Unified Structure Generation for Universal Information Extraction) event entity extraction model is used to create the event entity extraction for listed enterprises ‘violations. Then, a causality extraction model CDDP‐GAT (Event Causality Extraction Based on Chinese Dictionary and Dependency Parsing of GAT) is proposed. This model aims to identify and analyse the causal links between corporate breaches, thereby deepening the understanding of the event logic. Then, the merger of similar events was realized, and the causal correlation weights between enterprise violation‐related events were evaluated. Finally, the listed enterprise's violation risk event evolution graph was constructed, and the enterprise violation risk deduction was carried out to form an expert system of financial violations. The deduction results show that the method can effectively reveal signs of enterprise violations and adverse consequences.

STUDY OF THE INFLUENCE OF MODIFIERS ON THE HYDRATION OF CEMENT BY THE METHOD OF ISOTHERMAL CALORIMETRY

The effect of modifiers on the hydration of cements was studied by isothermal calorimetry. Thermochemical experiments were carried out using a TAM III isothermal calorimeter (TA Instruments). For the TAM III calorimeter, a method was developed for conducting experiments on monitoring the thermal activity of solid-phase samples with the possibility of repeated use of steel ampoules with a volume of 20 ml. The processes of hydration of Portland cement grade CEM I 42.5B D0 LLC "Holcim Rus" without a modifier and with modifiers polycarboxylate type S (POLYPLAST LLC and «Glass Powder) were studied. Heat release thermograms were recorded, which showed good reproducibility of the results and their similarity with those available in the literature for similar studies carried out according to standard methods using a TAM AIR isothermal calorimeter (TA Instruments). This indicates the reliability of the obtained data and the possibility of using the method proposed in this article to study the processes of hydration of cements. The maximum heat release on the thermograms of samples with a polycarboxylate modifier is observed approximately 20 h after the start of heat release monitoring. Samples without the modifier and with the glass powder modifier show the maximum heat release approximately 10 h after the start of the experiment. Analysis of the results showed that the presence of modifiers leads to increased heat release during cement hydration in relation to its initial composition. Accordingly, it takes less time to complete hydration. However, it is also necessary to take into account the possible risks of violation of the technological modes of operation of the corresponding equipment due to excessive heat release during the hydration of modified cements. For citation: Usacheva T.R., Krainova A.A., Vinogradova L.A., Oganyan V.V., Kokurina G.N., Myshenkov M.S., Anufrikov Yu.A., Shasherina A.Yu., Adamtsevich A.O. Study of the influence of modifiers on the hydration of cement by the method of isothermal calorimetry. ChemChemTech [Izv. Vyssh. Uchebn. Zaved. Khim. Khim. Tekhnol.]. 2024. V. 67. N 6. P. 88-93. DOI: 10.6060/ivkkt.20246706.6979.

О методическом обеспечении совершенствования государственного надзора за состоянием промышленной безопасности на объектах ведения горных работ, металлургических производств и обращения взрывчатых материалов

Since the 2000s, the activities of the state supervision over industrial safety at hazardous production facilities of mining and metallurgical production in Russia have been reoriented. Fiscal methods in control and supervision practices are substituted with preventive measures, which outlines the development of new approaches to the supervision organization. The modern methodology aiming to improve the state mining supervision has been historically based on the Russian system of scientific and technical methods and organizational and administrative measures aiming at sustainable and long-term improvement of industrial safety level at hazardous production facilities of the Russian metallurgical and mining industry in conditions of internal production growth and external sanctions. The long-term experience of ensuring industrial safety at hazardous production facilities of the mining and metallurgical industry provides the key methodological ways to improve the state mining supervision: i.e., verification of reliability of identification of hazardous production facilities; broad public awareness of causes and consequences of accidents and occupational injuries and the necessary preventive measures; identification and elimination of intrasystem shortcomings in the control and supervision activities; updating and improving industrial safety norms and rules. The efficiency of such methods is tested with practical activities and the successful reduction of accident and injury rates at the facilities under supervision. The introduced mandatory requirements as defined based on the results of control and supervision activities and the analysis of accidents and fatal injuries as well as the strict compliance with such requirements have gradually led to the reduction of the accident and injuries level. This can be considered the main achievement of the methodological activity of the organization of the state supervision over the industrial safety condition at the facilities under the supervision. This also indicates the quality of the developed methods of the state supervision and their applicability for the further control, preventive, licensing and permitting, and normative activities. In recent years, new planning and checking methods based on indicators of risk of mandatory industrial safety requirements violation have been developed and implemented.

Нотариальное удостоверение договора аренды в Сирии

This article examines the role of a notary in the field of rental relations in the context of the conditions, nature and procedure for notarization of this type of civil transactions with real estate. The relevance of the study on this topic is due to the presence of many risks of violation of the rights, freedoms and legitimate interests of the parties when concluding a real estate lease agreement, aggravated by the low level of legal literacy of the population. The role of a notary in ensuring the protection of the rights and legitimate interests of the parties to a lease agreement is considered, as well as the problems faced by Syrian citizens when concluding civil transactions with real estate. An analysis is carried out of the civil legislation of Syria regulating relations in the field of leasing real estate, including on issues related to state registration and notarization of relevant agreements. Based on the results of the study, it was concluded that it is necessary to notarize the lease agreement to ensure the protection of the rights and legitimate interests of its parties.

Carbon reduction policy and firms' executive‐employee pay gap: Evidence from low‐carbon city pilot policy

AbstractTaking the low‐carbon city pilot policy as a quasi‐natural experiment and using the data of Chinese listed companies, this paper examines the impact and mechanism of low‐carbon city pilot policy on the firms' executive‐employee pay gap. The results show that the implementation of low‐carbon city pilot policy significantly promotes the executive‐employee pay gap. Mechanism analysis results show that the low‐carbon city pilot policy promotes the executive‐employee pay gap mainly by enhancing the risks of enterprises' environmental violations and increasing management complexity. Heterogeneity analysis shows that the promoting effects of the pilot policy are more obvious in state‐owned enterprises, large‐scale enterprises, high‐carbon emission enterprises, and enterprises in labor‐intensive industries. The paper provides a decision‐making reference for coordinating common prosperity progress and corporate high‐quality development in the context of carbon reduction transformation.

Fairness, AI & recruitment

The ever-increasing adoption of AI technologies in the hiring landscape to enhance human resources efficiency raises questions about algorithmic decision-making's implications in employment, especially for job applicants, including those at higher risk of social discrimination. Among other concepts, such as transparency and accountability, fairness has become crucial in AI recruitment debates due to the potential reproduction of bias and discrimination that can disproportionately affect certain vulnerable groups. However, the ideals and ambitions of fairness may signify different meanings to various stakeholders. Conceptualizing fairness is critical because it may provide a clear benchmark for evaluating and mitigating biases, ensuring that AI systems do not perpetuate existing imbalances and promote, in this case, equitable opportunities for all candidates in the job market. To this end, in this article, we conduct a scoping literature review on fairness in AI applications for recruitment and selection purposes, with special emphasis on its definition, categorization, and practical implementation. We start by explaining how AI applications have been increasingly used in the hiring process, especially to increase the efficiency of the HR team. We then move to the limitations of this technological innovation, which is known to be at high risk of privacy violations and social discrimination. Against this backdrop, we focus on defining and operationalizing fairness in AI applications for recruitment and selection purposes through cross-disciplinary lenses. Although the applicable legal frameworks and some research currently address the issue piecemeal, we observe and welcome the emergence of some cross-disciplinary efforts aimed at tackling this multifaceted challenge. We conclude the article with some brief recommendations to guide and shape future research and action on the fairness of AI applications in the hiring process for the better.

Distributed optimal Volt/Var control in power electronics dominated AC/DC hybrid distribution network

AbstractThe integration of large‐scale distributed power sources increases the voltage fluctuation in AC/DC hybrid distribution network (AD‐HDN). Power electronics devices such as photovoltaic (PV) inverters, soft open point (SOP), and voltage source converters (VSCs) can be utilized for voltage/var control (VVC) to alleviate the risk of voltage fluctuation and violation. This paper proposes a distributed optimal VVC method in power electronics dominated AD‐HDN. Firstly, the reactive power and voltage characteristics of PV inverters, SOP, and VSCs are analysed, and an optimal VVC optimization model for AD‐HDN to minimize node voltage deviation, PV curtailment, and network loss is proposed. Then, the second‐order cone (SOC) relaxation technique is used to re‐formulate the model into a convex optimization model. A distributed optimal VVC framework based on the alternating direction method of multipliers (ADMM) is constructed. Based on the residual balance principle and relaxation technique, an accelerated ADMM method is further proposed to solve the proposed model. Finally, case studies are conducted on the IEEE 33‐node and 85‐node systems to verify the superiority and effectiveness of the proposed method.

US economic sanctions targeting Latin America: Recent changes, developments and compliance challenges

The United States — specifically through the US Department of the Treasury's Office of Foreign Assets Control (OFAC) and the Department of State — has maintained economic sanctions against certain Latin American countries since the 1950s. Starting with broad-based sanctions against Cuba, where OFAC prohibited virtually all transactions, the Department of the Treasury has instituted more-targeted sanctions regimes against Venezuela and Nicaragua, where non-government dealings are, for the most part, authorised. Together, the Departments of State and the Treasury also administer sanctions against various narcotics and terrorist organisations operating in Latin America. Most notable is the Foreign Narcotics Kingpin Designation Act, which has targeted trafficking organisations, foreign officials and their money laundering empires. To that end, sanctions, while initially imposed to fight certain political regimes, have developed into sanctions targeting all kinds of wrongdoing such as sponsoring terrorism, aiding and abetting drug trafficking, corruption and the commission of human rights violations. US sanctions violations are assessed under a strict liability standard (ie, no knowledge of the violation is required to trigger liability) and impact not only those directly subject to the jurisdiction of the US but also may carry implications for non-US persons undertaking certain ‘significant transactions' with sanctioned persons and jurisdictions. Further, while sanctions apply to US persons, OFAC can institute penalties on non-US persons for causing a US person to violate their compliance obligations. In addition, OFAC (or the Department of State) may sanction persons (individuals or entities) by adding them to the Specially Designated and Blocked Nationals (SDN) List. US persons must block the property and interests in property of SDNs, and are prohibited from virtually all, direct and indirect, transactions involving an SDN. SDN restrictions also apply to ‘Shadow SDNs' which are entities owned 50 per cent or more, directly or indirectly, by one or more SDNs in the aggregate. A Shadow SDN receives the same treatment as SDNs, regardless of whether such entity is itself on the SDN List. The challenge with Shadow SDNs is that they can only be discovered through rigorous due diligence into beneficial ownership structures of sometimes opaque corporate entities. This is where the world of sanctions compliance and enforcement crosses with that of anti-money laundering. The evolving customer due diligence, ongoing customer monitoring, suspicious activity investigations and reporting, and know your customer (KYC) (and know your customer's customer [KYCC]) evidenced are reflected through the evolving Financial Action Task Force (FATF) Recommendations, the Financial Action Task Force on Money Laundering in South America (GAFISUD) and domestic regulations. As a result of the increasingly unpredictable political changes in Latin America, and the concurrent changes in sanctions regimes, financial institutions (FIs) should maintain a proper understanding of the current sanctions prohibitions, the trends and updates in the area, but equally important, they should also maintain a good understanding of the complex legal provisions authorising certain behaviours — including the general licences and exemptions — that may apply. FIs must balance mitigating the risks of sanctions violations, and the associated hefty penalties, with the risks of a cumbersome and overly restrictive compliance regimen. An appropriately risk-based compliance programme that achieves both of these objectives is very much an art and not a ‘one size fits all’ model.

METHODOLOGY FOR REDUCING THE RISKS OF CYBERSECURITY BREACHES AND PROTECTING INFORMATION FROM CYBER ATTACKS

The scientific article examines the problems associated with the risks of cybersecurity violations and information protection from cyber attacks. Given the dramatically increased amounts of information transmitted over networks, the number of cyber attacks is simultaneously increasing, with the aim of stealing various kinds of secret and confidential information. At the same time, the role of specialists involved in the development and implementation of information system security technologies has increased.
 The article analyzes vulnerabilities in corporate systems and suggests methods for improving encryption protocols for users' personal data. Special attention is paid to the technologies for implementing protection mechanisms at the software development stage.

Tracking IHL Violations Through Arms Export in the Context of the Russian Aggression Against Ukraine

The paper tracks challenges to litigating (direct and indirect) imports of military equipment to Russia and Russia’s subsequent international humanitarian law of armed conflicts (IHL) violations committed in indiscriminate attacks in Ukraine. It asks whether arms export control is capable of preventing or mitigating the results of indiscriminate attacks in Ukraine. It is assumed that IHL compliance can be complemented by preventing military equipment from being delivered to recipients when there is a risk of serious IHL violations being committed with that equipment. By comparing arms transfers from Iran with other controversial arms exports, the paper examines if increased protection for IHL ensued by arms export control laws can remedy deficiencies in arms transfer decisions that do not account for IHL. If an answer is negative, corporate due diligence will perform a complementary role in respecting IHL when state authorisation for arms transfer fails to account for IHL.

Technological processes for ensuring road safety on the roads of St. Petersburg and the Leningrad region

Background. The main objective of the implementation of the National Project “Safe high-quality roads” of the Russian Federation is to improve the safety and quality of highways. This study provides a justification for the methods of installing longitudinal noise strips and an assessment of their impact on overall road safety. The results of this study can be used to develop effective recommendations for integrating these measures into the processes of designing and building highways.
 Aim. The purpose of this study is to select and substantiate the most rational way of installing longitudinal noise strips on highways. This study analyzes the relationship between the longitudinal noise band and the frequency of traffic accidents. The main purpose of this study is to study the relationship between the presence of a noise lane on the road and the frequency of traffic accidents. This study evaluates the impact of the noise band on the change in the risk of accidents and traffic violations.
 Methods. Various sections of the concentration of road accidents are considered on the basis of statistical data on highways of the technical category, on which measures have been implemented for the installation of longitudinal noise strips, allowing an analysis of their effectiveness. The features and recommendations regarding longitudinal noise strips on newly erected sections of highways are highlighted.
 Results. Taking the highways in the North-Western region as an example, the technology of installing longitudinal noise strips on highways has a benefit for road safety and economic efficiency.

How wicked is modern slavery: a consideration of Raškovic’s “taming wicked problems”

PurposeThis is a response to “Taming wicked problems”, a paper recently published in CPOIB in which modern slavery is framed as a wicked problem. The purpose of this study is to convey the author’s appraisal of its contribution to policymaking regarding modern slavery in global supply chains.Design/methodology/approachThe author engages in a discursive review of “Taming wicked problems”, taking inspiration from its perceived strengths and weaknesses to expand on the problem of modern slavery as a challenge to international business (IB) researchers.Findings“Taming wicked problems” is welcomed as a provocative contribution to modern slavery research in IB, although it is perceived to give too little critical attention to the problem of modern slavery itself.Research limitations/implicationsThis is, by design, a subjective assessment of the treatment of modern slavery and policy from the perspective of an IB researcher who has previously studied the phenomenon without a wicked problem framing.Practical implicationsModern slavery is a serious problem for IB scholars, as they have failed to extrapolate it from their analysis of international business strategy. This paper is intended to advance the disciplinary defence of vulnerable workers exploited to the ultimate benefit of MNEs.Social implicationsIB must engage critically with international business strategies that heighten the risk of human rights violations. The persistence of modern slavery disadvantages all persons in employment.Originality/valueThis paper seeks to better define the offense implicit in modern slavery so to inform critical IB research into its causes and deterrence.