This article examines the legal mechanisms for regulating the migration of third-country nationals within the European Union, focusing on international legal norms and European standards. Globalization, changes in the composition of the EU Member States and the growth of migration flows create new challenges that require flexible and balanced approaches to migration management. The social, economic and humanitarian aspects of migration are considered, including its impact on the standard of living of the population, access to employment and education, security and respect for human rights and freedoms. Particular attention is paid to how a balance can be maintained between the effectiveness of migration control and compliance with the principles of humanity, proportionality and non-discrimination. These principles are particularly important in the context of the digitalization of border control and the automation of decision-making processes. The article emphasizes the legal status of third-country nationals as subjects of international law with the right to social integration and the protection of fundamental rights. Modern technologies for border control are analyzed, including the automated ETIAS and EES systems. While these systems improve the accuracy of forecasting migration flows, they also call into question compliance with international standards, in particular the principles of non-discrimination and proportionality. The importance of transparent complaint mechanisms and codes of ethics for the use of algorithms in migration management is emphasized. Particular attention is paid to the social rights of migrants, their integration into the labor market and humane return procedures. The reform of the Single Work Permit Directive, which harmonizes national legislation with international employment standards, and proposals for a common return system that guarantees respect for human rights and prohibits collective expulsions are discussed.
The practical significance of this article lies in the development of recommendations for improving EU migration policy, developing transparent and humane control and integration procedures that comply with international legal obligations and guarantee the protection of the rights and freedoms of each migrant.
Social norm interventions are used promote prosocial behaviors by highlighting prevalent actions, but their effectiveness is often limited in heterogeneous populations where shared understandings of desirable behaviors are lacking. This study explores whether multi-agent systems can establish "virtual social norms" to encourage donation behavior. We conducted an online experiment where participants interacted with a group of agents to discuss donation behaviors. Changes in perceived social norms, conformity, donation behavior, and user experience were measured pre- and postdiscussion. Results show that multi-agent interactions effectively increased perceived social norms and donation willingness. Notably, in-group agents led to stronger perceived social norms, higher conformity, and greater donation increases compared to out-group agents. Our findings demonstrate the potential of multi-agent systems for creating social norm interventions and offer insights into leveraging social identity dynamics to promote prosocial behavior in virtual environments.
PwC studies estimate that the integration of AI into the economy could generate a global impact of up to $15.7 trillion by 2030, with other studies limiting this figure to $13 trillion. China and North America are expected to be the main beneficiaries, accounting for around 70% of the economic growth generated by AI. Europe, in comparison, is estimated to benefit from only $2.5 trillion, representing around 16% of global growth. Digital data is identified as a key asset and a major source of intellectual property revenue. Complying with the requirements of the regulation will generate additional costs. However, the long-term benefits are expected to outweigh these costs. Investments in compliance will also stimulate the development of new technologies and services to help companies comply. From a national legislation point of view, it will need to adopt European legislation and transpose Regulation 2024/1689 into a new law in Romania that harmonizes the legislation. In this study I will analyze the legislative, social and economic impact of the first regulation of AI through Regulation (EU) 2024/1689 at the EU level, then at the Romanian level and how it impacts Law no. 8/1996 and national copyright legislation.
Using LLMs in healthcare, Computer-Supported Cooperative Work, and Social Computing requires the examination of ethical and social norms to ensure safe incorporation into human life. We conducted a mixed-method study, including an online survey with 111 participants and an interview study with 38 experts, to investigate the AI ethics and social norms in ChatGPT as everyday life tools. This study aims to evaluate whether ChatGPT in an empirical context operates following ethics and social norms, which is critical for understanding actions in industrial and academic research and achieving machine ethics. The findings of this study provide initial insights into six important aspects of AI ethics, including bias, trustworthiness, security, toxicology, social norms, and ethical data. Significant obstacles related to transparency and bias in unsupervised data collection methods are identified as ChatGPT's ethical concerns.
In the last fifteen years, the European Court, the US Supreme Court and the Inter-American Court of Human Rights have all ruled on the issue of same-sex marriage. The Strasbourg Court has not, at this stage, dared to affirm the right to marriage, unlike its (inter)American counterparts. The article proposes a comparative analysis of the decisions rendered by the three jurisdictions: it highlights, beyond the (obvious and indisputable) differences between the three legal orders, the similar issues – of applicability, proportionality and subsidiarity – with which the judges responsible for ensuring respect for human rights are confronted. As the analysis also reveals, these issues are sometimes hotly debated within the courts themselves, while their understanding can be enriched by inter-jurisdictional dialogue. In conclusion, it is argued that, with regard to the recognition and protection of same-sex couples, the European Court should draw inspiration from American experiences and (1) clearly (re)affirm that the right to marry (art. 12 ECHR) applies to same-sex couples (2) mobilise the full potential of the prohibition of discrimination (art. 14 ECHR) and (3) move away from strict adherence to the European consensus rule.
En los últimos quince años, el Tribunal Europeo, el Tribunal Supremo de Estados Unidos y la Corte Interamericana de Derechos Humanos se han pronunciado sobre la cuestión del matrimonio entre personas del mismo sexo. El Tribunal de Estrasburgo no se ha atrevido, por el momento, a afirmar el derecho al matrimonio, a diferencia de sus homólogos (inter)americanos. El artículo propone un análisis comparativo de las decisiones dictadas por las tres jurisdicciones: pone de relieve, más allá de las diferencias (evidentes e indiscutibles) entre los tres ordenamientos jurídicos, las cuestiones similares –de aplicabilidad, proporcionalidad y subsidiariedad– a las que se enfrentan los jueces encargados de velar por el respeto de los derechos humanos. Como también revela el análisis, estas cuestiones son a veces objeto de acalorados debates en el seno de los propios tribunales, mientras que su comprensión puede verse enriquecida por el diálogo interjurisdiccional. En conclusión, se sostiene que, en lo que respecta al reconocimiento y la protección de las parejas del mismo sexo, el Tribunal Europeo debería inspirarse en las experiencias estadounidenses y (1) (re)afirmar claramente que el derecho a contraer matrimonio (art. 12 del CEDH) se aplica a las parejas del mismo sexo (2) movilizar todo el potencial de la prohibición de la discriminación (art. 14 del CEDH) y (3) alejarse de la estricta adhesión a la norma del consenso europeo.
Available from: https://doi.org/10.35295/osls.iisl/0000-0000-0000-1347
Knowledge Graphs (KGs) have been used to organize large datasets into structured, interconnected information, enhancing data analytics across various fields. In the legislative context, one potential natural application of KGs is modeling the intricate set of interconnections that link laws and their articles with each other and the broader legislative context. At the same time, the rise of large language models (LLMs) such as GPT has opened new opportunities in legal applications, such as text generation and document drafting. Despite their potential, the use of LLMs in legislative contexts is critical since it requires the absence of hallucinations and reliance on up-to-date information, as new laws are published on a daily basis. This work investigates how Legislative Knowledge Graphs and LLMs can synergize and support legislative processes. We address three key questions: the benefits of using KGs for legislative systems, how LLM can support legislative activities by ensuring an accurate output, and how we can allow non-technical users to use such technologies in their activities. To this aim, we develop Legis AI Platform, an interactive platform focused on Italian legislation that enhances the possibility of conducting legislative analysis and that aims to support lawmaking activities.
We present the comprehensive Russian primary and secondary legislation corpus covering 1991 to 2023. The corpus collects all 281,413 texts (176,523,268 tokens) of non-secret federal regulations and acts, along with their metadata. The corpus has two versions the original text with minimal preprocessing and a version prepared for linguistic analysis with morphosyntactic markup.
Traditional path-planning techniques treat humans as obstacles. This has changed since robots started to enter human environments. On modern robots, social navigation has become an important aspect of navigation systems. To use learning-based techniques to achieve social navigation, a powerful framework that is capable of representing complex functions with as few data as possible is required. In this study, we benefited from recent advances in deep learning at both global and local planning levels to achieve human-aware navigation on a simulated robot. Two distinct deep models are trained with respective objectives: one for global planning and one for local planning. These models are then employed in the simulated robot. In the end, it has been shown that our model can successfully carry out both global and local planning tasks. We have shown that our system could generate paths that successfully reach targets while avoiding obstacles with better performance compared to feed-forward neural networks.
“The voluntary approach to corporate social responsibility has failed in many cases.”1 The Mauritius corporate social responsibility (CSR) landscape changed profoundly in 2009 with the addition of sections 50K and 50L to the Income Tax Act 16 of 1995 (Mauritius), making contributions to a CSR fund mandatory. Before 2009, the Mauritius government repeatedly called on the private sector for assistance to overcome unemployment, poverty, and other challenges in their country. Due to an unsatisfactory response to their request and factors such as poverty, and high unemployment levels, the government made the drastic decision to implement mandatory CSR legislation. The main objective of this study was to investigate the factors contributing to the enactment of mandatory corporate social responsibility (CSR) legislation in Mauritius and the possibility to implement similar legislation in South Africa. An analysis of the Mauritius tax legislation and relevant government publications scrutinised, by way of a literature review, revealed that what is referred to as mandatory CSR, is in fact mandatory corporate social investment (CSI). The study further indicated that the same socio-economic factors as those present in Mauritius prior to 2009 and worse apply to South Africa. An analysis of South African CSI practices and contributions indicated that an additional R3.111 billion could have been raised if a 2 per cent CSI levy was applied to after-tax profits of certain categories of companies, as in Mauritius. This represents 1.2 per cent of the South African Department of Social Development’s 2022/2023 budget. It is recommended that similar legislation should be considered for South Africa. It will ensure that all profitable companies in South Africa contribute to CSI and that more funds will be available to address some of the socio-economic needs. The study addressed the gap in empirical research done in Mauritius after 2018 and 2020 and is also the first comparative study conducted on this topic regarding South African law.
Legal protection of the rights of outsourced workers is not just a legal issue, but a right that must be obtained by workers according to the mandate in the legislation, these rights are in the form of work and decent wages, social security, severance pay, and work safety. Although some of the rights have been listed in the labor regulations, these regulations have not yet fully contained and regulated the fulfillment of workers' rights, especially in practice that has not fully protected the rights of outsourced workers in a just and constitutional manner. This research uses a normative juridical method with a statutory, conceptual, historical approach, with primary legal materials namely the 1945 Constitution, Law Number 13 of 2003 concerning Manpower jo. Law No. 11 of 2020 on Job Creation, Government Regulation No. 35 of 2021 and ILO conventions. The results of the study indicate that the violation of the rights of outsourced workers is in fact still ongoing by providing substandard wages and unilateral layoffs by employers. Internationally, the ILO conventions have regulated the application of the protection of basic workers' rights, namely the abolition of forced labor and the provision of decent wages, this convention has also been ratified in Indonesian laws and regulations, thus various labor regulations should be a preventive measure as an optimization legal protection for workers so that the welfare of workers nationally and internationally can be achieved.
Multiview representation learning of data can help construct coherent and contextualized users' representations on social media. This paper suggests a joint embedding model, incorporating users' social and textual information to learn contextualized user representations used for understanding their lifestyle choices. We apply our model to tweets related to two lifestyle activities, `Yoga' and `Keto diet' and use it to analyze users' activity type and motivation. We explain the data collection and annotation process in detail and provide an in-depth analysis of users from different classes based on their Twitter content. Our experiments show that our model results in performance improvements in both domains.
The article analyzes the basic provisions of the United Nations Minimum Standard Rules on the Administration of Juvenile Justice (“Beijing Rules”) and responded to the worldwide trend of juvenile delinquency by scholars and practitioners from many countries around the world. These rules are designed to take into account the diversity of legal systems and the social development of states and should be the basis of national legislation in need of reform. In addition, the basic principles declared in the Beijing Rules should be reflected in the juvenile policy of the states.
The legal analysis made it possible to highlight such important principles as ensuring the welfare of a minor and social justice; Reduction of interference by law and fair and humane treatment of a teenager in conflict with the law; the “ principle of proportionality” (limitation of punitive sanctions) and the individualizat ion of the responsibility of minors, taking into account the act committed; expedient use of measures of influence on minors, limited use of punishments, prohibition of the death penalty and corporal punishment, etc.
It has been concluded that the improvement of the juvenile justice system under the Beijing Rules is primarily consistent with the general tendency to humanize the rights and protect the rights of children and adolescents, in particular those who are in conflict with the law. Their implementation into national law enables the development of juvenile policy of the state, the system of juvenile law and juvenile justice on the basis of modern international legal standards, which in turn should help to increase the effectiveness of legal influence and reduce the level of juvenile delinquency.
Daniel Abril-López, María del Carmen Morón-Monge, Hortensia Morón-Monge
et al.
Socioeconomic inequality is a burning issue in today’s world. It has been a characteristic feature of human societies since prehistoric times, but it has taken on a special meaning in the West as a result of the economic crises of the 21st century. We analyze the six elements of the Spanish national curriculum to learn how these dissymmetries are treated in seven Social Sciences and Humanities subjects in Compulsory Secondary Education (ESO). For this qualitative study with quantitative contributions, thirty-five keywords were selected; a detailed system of categories was configured for the treatment and analysis of the curriculum; and three levels of progression and complexity were introduced with respect to this problem in order to classify four educational curricula. The outcomes for the State legislation and for the three Autonomous Communities examined (Andalusia, the Chartered Community of Navarre, and Galicia) did not reach a level suitable for training a critical citizenship that seeks greater social balances. An interdisciplinary teaching–learning process must be carried out in Social Science Didactics, which makes connections between and reflects on the origin of socioeconomic inequality and its serious consequences for Humanity.
France issued a decree to restrict and prohibit mainly outdoor lighting effective from January 1st, 2019. Effectiveness of this legislation has been evaluated in this study using GIS data which was first used in \cite{2020MNRAS.493.1204A} (so called astroGIS database - \url{astrogis.org}). A subset of Artificial Light layer of astroGIS database has been adapted for years between January 2012 and December 2019. During 2019, radiance of $1.9 \times 10^{9}$ W cm$^{-2}$ sr$^{-1}$ has been released into space. Annual light pollution in France decreased by 6\% after the enactment of artificial light legislation. France continue to have potential Dark Sky Park locations for example cities like Indre, Lot, Nievre and Creuse having the lowest light pollution values. A strong correlation between population and light pollution ($R\simeq 0.83$) has been observed. A similar but a weak correlation can also be observed for GDP ($R\simeq 0.28$). However, it is still too early to justify whether the improvements observed in the dataset are due to the enactment of the legislation or not.
Ram Sewak Dubey, Giorgio Laguzzi, Francesco Ruscitti
This paper examines the representation and explicit description of social welfare orders on infinite utility streams. It is assumed that the social welfare orders under investigation satisfy upper asymptotic Pareto and anonymity axioms. We prove that there exists no real-valued representation of such social welfare orders. In addition, we establish that the existence of a social welfare order satisfying the anonymity and upper asymptotic Pareto axioms implies the existence of a non-Ramsey set, which is a non-constructive object. Thus, we conclude that the social welfare orders under study do not admit explicit description.
Marlène Karam, Christiane Duchesnes, André Crismer
et al.
Introduction: Interprofessional Collaboration (IPC) has long been considered as an essential principle underpinning effective primary health care, [1]. The Belgian primary care level is characterized by a shortage of General practitioners (GPs), the absence of shared patients list between GPs and home nurses, and a diversity of practices and payment systems. The Belgian population is aging and suffering from chronic diseases [2]. It becomes essential to enable primary healthcare providers to face these sociodemographic changes and increased health and social care needs. We therefore aim at 1) assessing IPC between GPs and nurses; 2) identifying target priorities for improving IPC; and 3) endorsing their improvement projects. Methods: A participatory action research (PAR) was initiated based on the methodological scheme for health systems research of Mercenier [3]. Six groups of GPs and nurses were chosen based on diversity of practices, payment systems, environment, and resources. Researchers met on a monthly basis with participants of each area. The conceptual model of Reeves on teamwork was used as a descriptive model for this PAR[4]. Preliminary results (ongoing research): Each group performed a SWOT analysis of their collaborative practice. Identified strengths were about shared values and objectives, previous positive experiences of IPC, and recognition of each other’s competencies and specific roles. Weaknesses revolved around managerial and informational fragmentation, hierarchical relations, lack of trust, lack of consideration, and lack of responsibilities clarification. Opportunities and threats were related to the different financing systems which impeded or facilitated multidisciplinary team meetings and communication, the weak functional integration, the shortage of workforces, the lack of shared patients list, and the lack of of interprofessional education. Two issues were co-identified as common priorities: communication and task delegation. Actions prioritized by each area were related to these two issues and took local needs into account. Discussions: Communication could be supported locally by improved ICT tools, and dedicating time for multidisciplinary team meetings. Task delegation is a more challenging issue to address and rises questions related to the nurses training and continuing education, task clarification, restrictive legislation and payment system. IPC seems to be easier to achieve when healthcare professionals belong to the same organization, with shared patients list, spaces and communication tools, and consider themselves as a “team”. Conclusions: Benefits of interprofessional collaboration are widely agreed upon for the healthcare system in general. However, implementation of collaborative interventions depends of both governmental and local factors and has not yet been fully explored. Lessons learned: IPC is more challenging to achieve in a context where healthcare providers don’t share a patients population and effective communication tools. Limitations: The PAR did not include patients, only a patient organization in the steering committee of this project. Suggestions for future research: Future research should address patient’s acceptance of task delegation.
Arturo Cruz-Maya, Fernando Garcia, Amit Kumar Pandey
Over the last years, social robots have been deployed in public environments making evident the need of human-aware navigation capabilities. In this regard, the robotics community have made efforts to include proxemics or social conventions within the navigation approaches. Nevertheless, few works have tackled the problem of labelling humans as an interactive agent when blocking the robot motion trajectory. Current state of the art navigation planners will either propose an alternative path or freeze the motion until the path is free. We present the first prototype of a framework designed to enhance social competency of robots while navigating in indoor environments. The implementation is done using Navigation and Object Detection open-source software. Specifically, the Robot Operating System (ROS) navigation stack, and OpenCV with Caffe deep learning models and MobileNet Single Shot Detector (SSD), respectively.
This study examines the conceptualisation of family in key social legislative documents guiding social workers in two European countries, whose welfare systems have previously been labelled as re-familialised (Lithuania) or de-familialised (Sweden). The focus is on the concept of family as delineated on three legislative levels: the constitutional level, the general family policy level, and the child welfare policy level. ‘Family’ is explicit in Lithuanian law, and the regulation of family formation and responsibility is imperative, while this is much less so in Swedish law. The analysis reveals how general welfare systems (regime-types) are linked to legislative frameworks, which, in turn, provide fundamentally different conditions for social work in different contexts.