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Copyright of IDP: Revista de Internet, Derecho y Politica is the property of Universitat Oberta de Catalunya and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Technological development imposes new challenges on the State and requires a critical theoretical examination. In this context, this research is dedicated to analyzing the development of colonialism and coloniality in order to, later, introduce the concept of digital coloniality and the need to confront this phenomenon, especially to ensure technological sovereignty and the development of an Artificial Intelligence (AI) that is tailored to the Brazilian context, avoiding the concentration of technological power and informational plundering. The primary objective of this investigation is to propose a digital decolonial approach, indicating the possibility for Brazil to adopt the configuration of an intelligent State, creating and guiding the development of algorithms that are aligned with the foundations and objectives of the 1988 Constitution. This would involve implementing a Bethânia (Brazilian) AI model that adapts the country's characteristics and needs, building it through state public policies aimed at technological sovereignty and sustainable development. [ABSTRACT FROM AUTHOR]

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Currently, artificial intelligence (AI) is beginning to integrate into higher education, demonstrating its ability to personalize and enrich learning processes. This study evaluates the impact of ChatGPT, an AI tool from OpenAI, on students' learning in the Social Education degree, focusing on the design and development of practical cases. Two main areas are investigated: the influence of ChatGPT on the acquisition of cross-cutting skills essential for professional development and student perceptions of its use in learning. The study was conducted at the University of [name removed] with 28 Social Education students during the 2023/2024 academic year, using a mixedmethods approach of quantitative and qualitative methods. Instruments included the Cross-Cutting Skills Assessment Questionnaire for Degrees (CECTGRA), a ChatGPT usage scale, an open-ended questionnaire, and an assessment rubric. Results showed significant improvements in the development of cross-cutting skills, mastery of these skills, and perceptions of the importance of these skills for professional growth. Most students positively evaluated ChatGPT, highlighting its convenience and accuracy. The educational possibilities of integrating ChatGPT into higher education are discussed, given its potential to enhance cross-cutting skills and enrich the educational experience. [ABSTRACT FROM AUTHOR]

This essay undertakes a critical analysis of the role of technology and artificial intelligence (AI) in the teaching and learning of mathematics. From the perspective of artificial intelligence, it examines the dynamics of interaction between humans and intelligent systems, exploring their influence on educational processes and the acquisition of mathematical knowledge. It addresses crucial aspects such as mutual responsibility for the informatics/didactic interface, the evolution of technological tools in mathematics education, and the fundamental theories that guide our understanding of the use of digital artefacts in this context. It highlights concrete examples of recent projects to illustrate the practical applications and constraints affecting mathematical work. Aiming to provide a holistic view, it explores how technology not only enhances mathematics education, but also generates a new kind of mathematical work in terms of control, necessity and obstacles. It examines the implications for the development of the mathematical working space, both as a system of activity and as a method of research in didactics of mathematics. [ABSTRACT FROM AUTHOR]

Introduction: To examine the relationship between the use of Artificial Intelligence (AI) to assess and monitor job performance and exposure to psychosocial risk factors, as well as associated adverse health effects in the European work environment. Method: Cross-sectional study using microdata from the 2022 "Occupational Safety and Health in Post-Pandemic Workplaces (Flash Eurobarometer)" survey (EU-OSHA) with 27252 participants. After selecting 12 dichotomous dependent variables (psychosocial risks and adverse health effects) and the presence of AI and its various uses to supervise and evaluate workers performance as independent variables, we calculated the crude and adjusted (aOR) odds ratios by sociodemographic covariates and their corresponding 95% confidence intervals (95%CI). Results: When AI is used to monitor or control individual performance, it increases time pressure and work overload (ORa=1.5;95%CI:1.3-1.7), reduces autonomy or influence over work processes (ORa=2.2;95%CI:2.1-2.3), and erodes communication or cooperation within the organization (ORa=1.5;95%CI:1.4-1.6). It also increases the probability of reporting stress, depression or anxiety (ORa=1.5; 95%CI:1.4-1.5) and accidents or injuries (ORa=1.7; 95%CI:1.6-1.8). Conclusions: AI as a "digital supervisor" increases exposure to psychosocial risk factors and the likelihood of health damage. This highlights the importance of considering worker well-being along with economic efficiency when implementing AI in work organizations. These results can guide labor policies to balance process optimization with healthy work environments through social dialogue. [ABSTRACT FROM AUTHOR]

Copyright of Revista Gestão & Tecnologia is the property of Revista Gestao & Tecnologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Artnodes is the property of Universitat Oberta de Catalunya and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Teoría de la Educación. Revista Interuniversitaria is the property of Ediciones Universidad de Salamanca and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of A&C - Administrative & Constitutional Law Review - Revista de Direito Administrativo e Constitucional is the property of A&C - Revista de Direito Administrativo & Constitucional (Instituto Bacellar) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Over the past decade, rapid progress in artificial intelligence (AI) has transformed a range of areas, from medicine to strategic games and communication technologies, from art and culture to everyday office work. It would be naïve to assume that this evolution does not permeate and alter international affairs. Building on, and solidifying, a thriving yet still fragmented emerging literature on "AI IR," this forum gathers several critical diagnoses of the way AI technologies impact on various areas of international relations. Introducing new concepts and charting emerging empirical realities, contributors explore how AI advances, such as autonomous lethal systems, synthetic imagery and text, or intelligent systems, are already creating new landscapes of violent and nonviolent international interactions. Yet, behind their distinct takes, contributions together stress the need to correctly locate and evaluate specific sites of AI impact, thus offering a nuanced appraisal scrutinizing grand declarations of an "AI revolution" in global politics. [ABSTRACT FROM AUTHOR]

The emergence of increasingly capable artificial intelligence (AI) systems has raised concerns about the potential extreme risks associated with them. The issue has drawn substantial attention in academic literature and compelled legislators of regulatory frameworks like the European Union AI Act (AIA) to readapt them to the new paradigm. This paper examines whether the European Parliament's draft of the AIA constitutes an appropriate approach to address the risks derived from frontier models. In particular, we discuss whether the AIA reflects the policy needs diagnosed by recent literature and determine if the requirements falling on providers of foundation models are appropriate, sufficient, and durable. We find that the provisions are generally adequate, but insufficiently defined in some areas and lacking in others. Finally, the AIA is characterized as an evolving framework whose durability will depend on the institutions' ability to adapt to future progress. [ABSTRACT FROM AUTHOR]

Copyright of RED - Revista de Educación a Distancia is the property of Universidad de Murcia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ingeniería (0121-750X) is the property of Ingenieria and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Education & Law Review / Revista de Educación y Derecho is the property of Revista de Educacion y Derecho and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

El presente estudio enfatiza la revolución que supone la integración de la Inteligencia Artificial (IA) y Big Data en la sostenibilidad y eficiencia de recursos. Estas tecnologías mejoran la gestión de materiales y fomentan estrategias innovadoras de reutilización, esenciales para la transición hacia una economía circular. El estudio emplea un enfoque cualitativo de tipo teoría fundamentada implementando técnicas como revisión de literatura y análisis de documentos. En los resultados se destaca la necesidad de un enfoque multidisciplinario en la integración de tecnologías avanzadas, combinando habilidades técnicas con una comprensión profunda de los modelos de negocio y dinámicas del mercado, la educación y formación continua en IA y Big Data, así como la colaboración entre empresas, instituciones educativas y entidades gubernamentales son fundamentales para fomentar la innovación y adopción de estas tecnologías en la economía circular. Finalmente, se concluye sobre la importancia de integrar tecnologías avanzadas en la gestión de materiales y la necesidad de un enfoque holístico que combine innovaciones tecnológicas con cambios en modelos de negocio y prácticas de gestión, enfatizando la colaboración interdisciplinaria y la adaptación a contextos específicos para enfrentar los desafíos de sostenibilidad.

Introducción: Examinar la relación entre el uso de la inteligencia artificial (IA) para evaluar y controlar el rendimiento laboral y los riesgos psicosociales, así como los daños a la salud asociados en el medio laboral europeo. Método: Estudio transversal con los microdatos de la encuesta de 2022 “Occupational Safety and Health in Post-Pandemic Workplaces (Flash Eurobarometer)” (EU-OSHA) con 27252 participantes. Tras seleccionar 12 variables dicotómicas dependientes (riesgos psicosociales y daños a la salud) y la presencia de IA y sus usos para la supervisión y valoración del rendimiento de los trabajadores como variables independientes, se calcularon las odds ratio crudas (ORc) y ajustadas (ORa) por covariables sociodemográficas, y sus correspondientes intervalos de confianza del 95% (IC95%) mediante modelos de regresión logística. Resultados: Cuando la IA es utilizada para supervisar o controlar el rendimiento individual aumenta la presión temporal y la sobrecarga de trabajo (ORa=1.5;IC95%:1.3-1.7), se reduce la autonomía o influencia sobre los procesos de trabajo (ORa=2.2;IC95%:2.1-2.3) y se erosiona la comunicación o cooperación dentro de la organización (ORa=1.5;IC95%:1.4-1.6). También, incrementa la probabilidad de referir estrés, depresión o ansiedad (ORa=1.5;IC95%:1.4-1.5) y accidentes o lesiones (ORa=1.7;IC95%:1.6-1.8). Conclusiones: La IA como "supervisor digital" aumenta la exposición a riesgos psicosociales y la probabilidad de sufrir daños a la salud. Esto destaca la importancia de considerar el bienestar de las personas trabajadoras junto con la eficiencia económica al implementar IA en la organización del trabajo. Estos resultados pueden guiar políticas laborales para equilibrar la optimización de procesos con entornos laborales saludables mediante el diálogo social.

La inteligencia artificial (IA) es una disciplina de las ciencias de la computación que crea sistemas informáticos capaces de imitar la inteligencia humana y mejorar sus tareas a medida que recopilan información. En el campo de los cuidados intensivos tiene el potencial de revolucionar el cuidado, ofreciendo numerosos beneficios y mejoras en la atención al paciente. Además, la IA puede desempeñar un papel crucial en abordar los desafíos planteados por la escasez de recursos humanos calificados en este campo y el aumento de los costos asociados con esta disciplina. Este editorial examina las áreas clave donde la IA puede traer cambios sustanciales en los cuidados intensivos desde la perspectiva de los proveedores de atención médica. Nuestra intención es proporcionar una visión general de los aspectos generales en los que la IA está contribuyendo al manejo de los pacientes críticamente enfermos.

The application of artificial intelligence (AI) is covering many areas such as institutional, business, work or personal, and with its relevant changes occur in the industry, services, or territorial planning, among others. The objective of this text is to reflect on whether the use of technologies linked to AI in the management of territories can contribute to their transformation into "smart cities" or "smart tourist destinations", from a perspective that considers socioeconomic and environmental resilience. To do this, basic concepts and structures that comprise artificial intelligence (AI) are examined, and how the technological tools featured by AI - Big data, blockchain, Internet of Things, etc. - can go beyond the marketing and competitiveness strategies, as long as they are oriented to urban and territorial governance. Likewise, the importance of considering the limitations and challenges of AI is highlighted, such as ethical, labor, social or environmental issues. [ABSTRACT FROM AUTHOR]

The high accident rate in the construction industry has a major impact on how well projects turn out. Despite substantial investments in safety planning and supervision, there has been a marked increase in the construction industry’s accident rate compared to other sectors. Serious games based on VR have recently been used in the study, suggesting that workers are now more safety conscious. However, these situations need many resources to create and are not always realistic. Hence this paper, Digital Twin-based Construction Safety Training Framework (DT-CSTF) with Artificial Intelligence (AI), has been proposed to monitor employees’ emotional, mental, and physical well-being in real-time. The report sheds light on the significance of DT technology and its function in Industry 5.0. Using the Unity game engine, the proposed DT-CSTF creates a virtual reality-based training environment (VRTE) prototype that incorporates BIM, construction timetables, and safety requirements. Following this, the suggested structure enables gathering user data about risks and providing tailored feedback. Automated virtual reality game training scenarios are created using data given by digital twins on project intent, project status, safety requirements, and history. Both improved digital twins and periodic construction safety monitoring are anticipated to reap the benefits of dynamic virtual reality training. The proposed management system offers effectiveness of VR-based security training, cost-benefit analysis, monitoring,employee behaviour, safety education values are obtained by the ratio of 96,90 %, 98,33 %, 99,25 %, 95,91 %, 98,66 % respectively. [ABSTRACT FROM AUTHOR]

The Artificial Intelligence revolution is turning its attention toward Latin America. The region features an extraordinary abundance of natural resources paired with a strategic location for the industry, a relatively stable political context, and high demand for investment. This new AI hub could serve as a key factor for geopolitical balance, countering China's influential investments in infrastructure. Latin American countries also have a unique advantage: they can host the entire AI development, including natural resource extraction, chip manufacturing, data centers, and e-waste facilities. Yet, the environmental impact of unsustainable AI can hinder fragile energy and water public services, quickly leaving multiple communities without basic access. Finding proactive mitigation policies and leveraging local expertise will be key to a long-term realization. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) has gained attention in tourism, which requires its sustainability. Our study focuses on a bibliometric analysis of AI in sustainable tourism using 174 manuscripts from 2000 to 2022. One of the main findings is that 'intelligence' appears frequently, followed by related terms such as work, performance, resources, sustainability, impact, optimization and management. There is no previous evidence on AI in the context of sustainable tourism to explain how public managers or politicians design public policies to create and improve resource efficiency. [ABSTRACT FROM AUTHOR]

Copyright of EDU REVIEW: International Education & Learning Review / Revista Internacional de Educación & Aprendizaje is the property of Eagora Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This retrospective review of nearly a century of publications in Journalism and Mass Communication Quarterly (JMCQ) traces the maturation of media studies toward a scientific discipline. The field's dominant paradigms—media effects and communicator uses—persist, adapt, and diversify over time, yielding actionable insights. Challenges include (a) bridging older and newer media theories, (b) harnessing data science, and (c) capitalizing on artificial intelligence/machine learning (AI/ML). Future media research can conceptualize evolving three-dimensional interactions among media, people, and AI. We propose seven initiatives for the next century: revisiting classical theories, fostering interdisciplinary collaboration, balancing descriptive and prescriptive theorization, nurturing indigenous theorizing, collaborating with industry, reverse theorizing with AI, and exploring and regulating AI's role in media. [ABSTRACT FROM AUTHOR]

Copyright of Policy & Internet is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista de la Asociacion Aragonesa de Criticos de Arte is the property of Asociacion Aragonesa de Criticos de Arte and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Neste trabalho realizamos a revisão de seis artigos científicos sobre a evasão escolar que utilizaram Aprendizagem de Máquina como metodologia para detectar as possíveis causas. A metodologia utilizada por esta pesquisa é a bibliográfica, pois investigou-se quais são os temas e elementos técnicos de cada um dos artigos, principalmente em relação a aprendizagem de máquina. Os resultados obtidos são sobre os principais elementos que estruturam os algoritmos de aprendizagem de máquina a partir dos seis artigos científicos estudados. O tema é muito abrangente e envolve diversas áreas e subáreas do conhecimento científico, como por exemplo Álgebra Linear, Matrizes, Teoria da Computação, Computabilidade, Modelos de Computação, Linguagem Formais e Autômatos, Análise de Algoritmos e Complexidade Computacional. As Técnicas de Mineração de Dados (EDM) são as ações utilizadas para encontrar padrões em um grande volume de dados. Estes padrões podem ser explicativos, de modo a descrever as relações entre segmentos de dados, ou preditivos, os quais podem prever valores futuros baseados em dados anteriores. Ao final, o leitor terá uma visão ampla de como ocorre todo o processo metodológico de produção e construção de aprendizagem de máquina.

In recent years, there has been unprecedented development in artificial intelligence (AI). The contracting of artificial intelligence solutions is an everyday practice. Yet, there is still no legislative framework that deals with the uncertainties it poses, especially although not only, in the field of intellectual property and liability. In this article, we address legal technical aspects related to the contracting between companies (B2B) of AI solutions for the development of their internal or external activity and we do so from a practical perspective. In particular, we will discuss the guarantees which should be requested from manufacturers, the options available to regulate the rights over the products resulting from the implementation of these solutions, the challenges regarding confidentiality and, finally, some issues on the product liability of the AI provider. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has become a global policy issue that is actively governed by international actors producing governance indicators. This article argues that despite the arguments about disruptions to governance and policy due to AI, the global rankings increasingly constitute a strong path dependence on AI policy, leading to conformity with existing policies and institutional practices of economic competitiveness. By analyzing the composition and data sources of global indices in competitiveness, innovation, human capital, and artificial intelligence, I will show how the global rankings now evolve by sharing data and concepts. Consequently, these metrics and related policy scripts promote the seeming continuity of current activities of global competitiveness. AI is discussed as a "revolution" but framed as a matter of "competitiveness," "openness," and "talent competition," implying standard perceptions of economic competitiveness and innovation. There is also a narrative element in the policy script, as the future policies on AI are promoted with references to history that also project the past into the future. My article concludes that while path‐dependent policy indicators and related future narratives give a sense of orientation, they are problematic as they portray a seeming continuity of activities in times of disruptions, delimiting policy alternatives such as AI ethics. [ABSTRACT FROM AUTHOR]

Copyright of Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas is the property of Revista Nebrija de Linguistica Aplicada a la Ensenanza de Lenguas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Palermo Business Review is the property of Universidad de Palermo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of International Journal of Research in E-Learning is the property of Wydawnictwo Uniwersytetu Slaskiego and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly utilized in share market services due to significant efficiencies and benefits for companies and investors across the globe. This has resulted in an alteration in the firm's business models and has a potential impact on the effectiveness of the share market and could harm investors. Indian share market is also witnessing the usage of this technology by market intermediaries. The present regulatory framework of Securities Exchange Board of India (SEBI) on share market intermediaries is not dealing with the Fintech/technology 2.0-based products and services offered in retail trading and investment advisor platforms in India. The research is primarily based on the normative method presenting a qualitative analysis of the usage of AI & ML in various business models by share market intermediaries. How various share market regulators are addressing and regulating this technology usage and their judicial exposition. The paper concludes that the Indian share market is no exception & SEBI require to look at this new transformation and address the challenges posed by it. SEBI needs to take a proactive step to promote, guide & regulate usages of AI & ML which is gradually seeking the attention of Indian share market intermediaries into their business models and get the maximum benefit out of these technologies. [ABSTRACT FROM AUTHOR]

As defined in economic theory, artificial intelligence (AI) can be considered an industry. In this context, two simultaneous processes are observed: concurrence and cooperation. The current dispute between China and the United States for world leadership in AI should be placed against this background. Thus, the description in this paper of concrete policies and measures that the Chinese regime pursued to promote its AI industry and identify its strategy to increase its influence on the standardization processes in the emerging industry is extremely important. [ABSTRACT FROM AUTHOR]

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The research presented in this article analyzed the performance of the random forest algorithm in predicting the future return of the main indices of the largest stock exchanges in the world, through historical trading prices. A sample composed of the daily quotes of 35 indices of the largest stock exchanges in the world from 2001 to 2019 was used. In addition to the random forest algorithm, models were estimated, based on the decision tree algorithm and using the logistic regression technique. The models were estimated considering maximum and closing prices, as well as the complete period and its division into sub-periods. The results indicated that the performances of the estimated models were superior to the market average, and the random forest presented the best results. All models trained on the maximum prices of the indices performed better than those trained on closing prices. In addition, the subperiod models performed better for the random forest. The efficiency of markets in the weak form has been questioned in the contemporary context of the rise of the use of artificial intelligence (AI) algorithms for forecasting in finance. The study is relevant as it contributes to the literature on the use of AI algorithms in forecasting asset prices in the financial market. The main indices of the largest stock exchanges in the world were analyzed, generating general subsidies that can help guide future research in the area. [ABSTRACT FROM AUTHOR]

With digital ecosystems being questioned around the world, this paper examines the EU's role in and contribution to the emerging concept of artificial intelligence (AI) governance. Seen by the EU as the key ingredient for innovation, the adoption of AI systems has altered our understanding of governance. Framing AI as an autonomous digital technology embedded in social structures, this paper argues that EU citizens' trust in AI can be increased if the innovation it entails is grounded in a fundamental rights-based approach. This is assessed based on the work of the High-Level Expert Group on AI (which has developed a framework for trustworthy AI) and the European Commission's recently approved proposal for an Artificial Intelligence Act (taking a risk-based approach). [ABSTRACT FROM AUTHOR]

Las novedades tecnológicas de la Cuarta Revolución Industrial han permitido el planteamiento de estrategias para trascender las limitaciones humanas, estrategias que son ampliamente amparadas por la filosofía transhumanista. El artículo explica la relación que existe entre el ‘transhumanismo’ y la ‘singularidad tecnológica’. Para ello, se definirá brevemente qué es la Cuarta Revolución Industrial y qué es el transhumanismo. Luego se evaluarán los tres modelos principales de singularidad tecnológica y se ofrecerá una definición apropiada de este concepto futurista. Finalmente se brindará una reflexión sobre la relación entre singularidad tecnológica y la filosofía transhumanista y se concluirá que no son sinónimos, sino que la primera es una eventualidad que permitirá la segunda.

Copyright of TECHNO Review is the property of Eurasia Academic Publishing Group and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)